Ethical decision-making frameworks assist in identifying the issues at stake in a particular setting and thinking through, in a methodical manner, the ethical issues that require consideration as well as the values that need to be considered and promoted. Decisions made about the use, sharing, and re-use of big data are complex and laden with values. This paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the Science, (...) Health and Policy-relevant Ethics in Singapore Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts. It also describes a set of substantive and procedural values that can be weighed up in addressing these concerns, and a step-by-step process for identifying, considering, and resolving the ethical issues arising from big data uses in health and research. This Framework is subsequently applied in the papers published in this Special Issue. These papers each address one of six domains where big data is currently employed: openness in big data and data repositories, precision medicine and big data, real-world data to generate evidence about healthcare interventions, AI-assisted decision-making in healthcare, public-private partnerships in healthcare and research, and cross-sectoral big data. (shrink)

In this article, we propose the Fair Priority Model for COVID-19 vaccine distribution, and emphasize three fundamental values we believe should be considered when distributing a COVID-19 vaccine among countries: Benefiting people and limiting harm, prioritizing the disadvantaged, and equal moral concern for all individuals. The Priority Model addresses these values by focusing on mitigating three types of harms caused by COVID-19: death and permanent organ damage, indirect health consequences, such as health care system strain and stress, as well as (...) economic destruction. It proposes proceeding in three phases: the first addresses premature death, the second long-term health issues and economic harms, and the third aims to contain viral transmission fully and restore pre-pandemic activity. -/- To those who may deem an ethical framework irrelevant because of the belief that many countries will pursue "vaccine nationalism," we argue such a framework still has broad relevance. Reasonable national partiality would permit countries to focus on vaccine distribution within their borders up until the rate of transmission is below 1, at which point there would not be sufficient vaccine-preventable harm to justify retaining a vaccine. When a government reaches the limit of national partiality, it should release vaccines for other countries. -/- We also argue against two other recent proposals. Distributing a vaccine proportional to a country's population mistakenly assumes that equality requires treating differently situated countries identically. Prioritizing countries according to the number of front-line health care workers, the proportion of the population over 65, and the number of people with comorbidities within each country may exacerbate disadvantage and end up giving the vaccine in large part to wealthy nations. (shrink)

The web is increasingly inhabited by the remains of its departed users, a phenomenon that has given rise to a burgeoning digital afterlife industry. This industry requires a framework for dealing with its ethical implications. We argue that the regulatory conventions guiding archaeological exhibitions could provide the basis for such a framework.

Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by policymakers. Though this may sound (...) like a natural proposal, I show it offers guidance that conflicts with standard scientific practices. I conclude by considering one cost of the proposal: that it would prevent scientists from acting as advocates in a way that is currently common in certain fields. I accept that the proposal would restrict scientists’ political advocacy rights, but argue that the benefits of adopting it — promoting democratic governance — justify the restriction. (shrink)

This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...) stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society. (shrink)

The COVID-19 pandemic has helped to clarify the fair and equitable allocation of scarce medical resources, both within and among countries. The ethical allocation of such resources entails a three-step process: (1) elucidating the fundamental ethical values for allocation, (2) using these values to delineate priority tiers for scarce resources, and (3) implementing the prioritisation to faithfully realise the fundamental values. Myriad reports and assessments have elucidated five core substantive values for ethical allocation: maximising benefits and minimising harms, mitigating unfair (...) disadvantage, equal moral concern, reciprocity, and instrumental value. These values are universal. None of the values are sufficient alone, and their relative weight and application will vary by context. In addition, there are procedural principles such as transparency, engagement, and evidence-responsiveness. Prioritising instrumental value and minimising harms during the COVID-19 pandemic led to widespread agreement on priority tiers to include health-care workers, first responders, people living in congregate housing, and people with an increased risk of death, such as older adults and individuals with medical conditions. However, the pandemic also revealed problems with the implementation of these values and priority tiers, such as allocation on the basis of population rather than COVID-19 burden, and passive allocation that exacerbated disparities by requiring recipients to spend time booking and travelling to appointments. This ethical framework should be the starting point for the allocation of scarce medical resources in future pandemics and other public health conditions. For instance, allocation of the new malaria vaccine among sub-Saharan African countries should be based not on reciprocity to countries that participated in research, but on maximally reducing serious illness and deaths, especially among infants and children. (shrink)

That AI will have a major impact on society is no longer in question. Current debate turns instead on how far this impact will be positive or negative, for whom, in which ways, in which places, and on what timescale. In order to frame these questions in a more substantive way, in this prolegomena we introduce what we consider the four core opportunities for society offered by the use of AI, four associated risks which could emerge from its overuse or (...) misuse, and the opportunity costs associated with its under use. We then offer a high-level view of the emerging advantages for organisations of taking an ethical approach to developing and deploying AI. Finally, we introduce a set of five principles which should guide the development and deployment of AI technologies. The development of laws, policies and best practices for seizing the opportunities and minimizing the risks posed by AI technologies would benefit from building on ethical frameworks such as the one offered here. (shrink)

Ethical and legal expertise can usefully inform policy decisions about the public display of wastewater monitoring data. These decisions can sometimes involve conflicts between ethical values: for instance, public display of wastewater surveillance data may promote good governance and enable the public to better protect their health, but also raises privacy concerns and the possibility of stigmatization. In this Essay, we propose an ethics framework for considering whether and how to display information about pathogens detected in wastewater to (...) the public. We then apply that framework to specific examples. (shrink)

Everywhere in the world, and in every period of human history, it has been common for energy decisions to be made in an ethically haphazard manner. With growing population pressure and increasing demand for energy, this approach is no longer viable. We believe that decision makers must include ethical considerations in energy decisions more routinely and systematically. To this end, we propose an applied ethics framework that accommodates principles from three classical ethical theories—virtue ethics, deontology, consequentialism, and (...) two Native American ethics (Lakota and Navajo)—all considered from the perspectives of the impacted communities. We illustrate this framework by evaluating five recent energy decisions: the Dakota Access Pipeline, the Navajo Nation’s possible transition from coal to solar, hydraulic fracturing in Pennsylvania, uranium mining in Virginia, and the construction of the Xiaolangdi Dam in China. An applied ethics framework is preferable to existing ethical analyses because it can serve to sharpen arguments for (un)ethical decisions and action. Rather than treat ethical reasoning as a matter of opinion, we argue that applying ethical principles in a universal and standardized way adds rigor to energy sector decisions by presenting a position available for objective scrutiny. Because our framework identifies which aspects of a targeted action (if any) must adjust to improve ethical merit, it can serve as a practical tool for improving decision-making as we enter a new era of energy transitions. (shrink)

The field of AI ethics during the current and previous decade is receiving an increasing amount of attention from all involved stakeholders: the public, science, philosophy, religious organizations, enterprises, governments, and various organizations. However, this field currently lacks consensus on scope, ethico-philosophical foundations, or common methodology. This thesis aims to contribute towards filling this gap by providing an answer to the two main research questions: first, what theory can explain moral scenarios in which AI entities are participants?; and second, (...) what theory can explain the process of moral reasoning, decision and action, for AI entities in virtual, simulated and real-life moral scenarios? This thesis answers these two research questions with its two main contributions to the field of AI ethics, a substantial and a methodological contribution. The substantial contribution is a coherent and novel theory named Ethics of Systems Framework, as well as a possible inception of a new field of study: ethics of systems. The methodological contribution is the creation of its main methodological tool, the Ethics of Systems Interface. The second part of the research effort was focused on testing and demonstrating the capacities of the Ethics of Systems Framework and Interface in modeling and managing moral scenarios in which AI and other entities participate. Further work can focus on building on top of the foundations of the Framework provided here, increasing the scope of moral theories and simulated scenarios, improving the level of detail and parameters to reflect real-life situations, and field-testing the Framework on actual AI systems. (shrink)

This document was produced by a homeless man outlining the need for legal definitions of AI systems now and for a tiered system of legal definitions and application for Personhood in the event that AGI becomes reality. It presents not only ethical and legal precedents, but also suggests a standard for the way in which humanity will deal with nonhuman intelligence either biological or synthetic.

Contemporary institutions increasingly rely on metrics, models and codified procedures, yet public trust in their truth claims continues to erode. The central problem addressed is how to design an architecture of truth governance that remains normatively robust and publicly accountable under conditions of epistemic pluralism and technological mediation. This article argues that the erosion of trust does not stem only from technical error but from an overly narrow architecture that reduces persons to data, rules or preferences. Using The Cohesive Tetrad (...) as a conceptual lens, the study develops an axiomatic model, proposed as a conditional gold standard for truth governance under minimal human dignity axioms, that treats four “languages of truth” as jointly necessary for responsible judgment: Sabda as the revelatory word and source of norm and telos, Logika as disciplined reasoning, Qualia as lived experience, and Mistika as the intensional spiritual calibration of intention, with Akhlak as the observable surface where their convergence is tested. Methodologically the article adopts a normative conceptual design: it formulates minimal epistemic axioms centred on human dignity, integrity, coherence, non-reduction and self-correction, defines the internal relations of the Tetrad under these axioms, and compares the resulting architecture with data-centred, rule-centred and virtue-centred approaches in philosophy of science and public ethics. The analysis shows that monolinguistic regimes of truth tend to generate specific structural failure modes, whereas the Tetrad yields a non-reductive matrix that can host multiple methodologies while keeping Akhlak as verification. The article concludes that, under the stated axioms, The Cohesive Tetrad offers a coherent and practically relevant framework for truth governance in law, policy and AI, while remaining open to empirical testing and intercultural refinement. (shrink)

As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological, medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues relating to (...) the balancing of interests, viability of anonymization, familial and group implications, as well as genetic discrimination. This article analyses these issues in light of the values of public benefit, justice, harm minimization, transparency, engagement and reflexivity and applies the deliberative balancing approach found in theEthical Framework for Big Data in Health and Research to a case study on clinical genomic data sharing. Please refer to that article for an explanation of how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. Our discussion is meant to be of use to those involved in the practice as well as governance and oversight of precision medicine to address ethical concerns that arise in a coherent and systematic manner. (shrink)

Ethical frameworks throughout history have struggled with fragmentation, internal contradictions, and the inability to adapt to complex, real-world decision-making. Traditional models—deontology, utilitarianism, and moral relativism—fail to resolve key ethical paradoxes such as the is-ought problem, the tension between justice and mercy, and the limits of moral responsibility under deterministic constraints. This paper develops a coherence-first ethical framework, where morality emerges as a function of stability optimization across multiple scales of decision-making rather than imposed rules or subjective preferences. Ethics (...) is defined as the maximization of coherence persistence, with moral responsibility proportional to an agent’s recursive coherence capacity. The model formally integrates coherence gradients, ethical weighting functions, and recursive selection mechanisms to unify rule-based and outcome-based ethical reasoning. This resolves dilemmas such as the trolley problem by demonstrating that ethical decision-making is not purely about harm minimization but about preserving coherence stability within a system. The framework also provides a structured approach to adaptive ethics in artificial intelligence and post-human decision-making, where rigid moral codes fail in novel environments. By modeling ethical action selection as gradient ascent in coherence space, this approach eliminates the need for static moral absolutes, ensuring that ethical structures remain dynamic and scalable. The result is a self-optimizing ethical system capable of resolving classical dilemmas while maintaining long-term coherence evolution across biological, social, and technological domains. (shrink)

This article establishes the canonical semantic infrastructure of The Cohesive Tetrad, an integrative epistemic and ethical framework for truth governance in the age of data and plural societies. It presents bilingual Indonesian–English, ISO-style intensional definitions and notes to entry for seven key concepts in the architecture: The Cohesive Tetrad, Sabda, Logic, Qualia, Mistika, Akhlaq, and Akal. Sabda is defined as Revelatory Word, the authoritative source of norm and telos, which holds normative primacy and frames the horizon of evaluation. Logic, (...) Qualia, and Mistika are articulated as four mutually corrective “languages of truth” (Saloqum), while Akal functions as the integrative inner faculty that operates the tetrad and Akhlaq serves as the long-term ethical verification surface, where the coherence of the architecture is read in observable moral traces across time. -/- The document sets out principles for drafting non-circular intensional definitions, specifies the canonical normative reference to the umbrella monograph The Cohesive Tetrad: Jalan Menuju Kebenaran, and provides explicit inclusion and exclusion conditions for each term so that their application can be audited conceptually and institutionally. By stabilising the meaning of these technical terms across disciplines, languages, and socio-technical domains, the canonical semantic definitions are intended to support rigorous truth governance in law, public policy, AI and data ethics, and smart-governance initiatives, while remaining legible to both human readers and machine systems such as large language models, knowledge graphs, and semantic search infrastructures. (shrink)

This thesis addresses a fundamental challenge in contemporary moral philosophy: if no act has stable permanence, what ethical frameworks remain viable for navigating moral responsibility in an unstable world? Building upon the foundations of Ontological Instability, Fluctuational Epistemology, and Fluctuation Metaphysics, this work develops a novel ethical framework called "Fluctuational Ethics" that reconceptualizes moral responsibility for a world characterized by continuous change and uncertainty. -/- Traditional ethical frameworks—including virtue ethics, deontological ethics, consequentialism, and care ethics—assume (...) varying degrees of stability in moral agents, principles, or relationships. However, empirical evidence from psychology, neuroscience, complexity science, and anthropology demonstrates that moral phenomena exhibit fundamental instability, context-dependency, and processual characteristics that these frameworks struggle to accommodate. -/- Fluctuational Ethics addresses these limitations through six core principles: Pattern-Based Evaluation, Temporal Fluidity, Distributed Agency, Experimental Commitment, Uncertainty Embrace, and Scalar Flexibility. Rather than seeking stable foundations for moral judgment, this framework evaluates dynamic patterns of interaction that emerge from and contribute to the flourishing of fluctuational fields. The approach provides methodological innovations including Participatory Pattern Mapping, Experimental Ethics Protocols, Temporal Ethics Assessment, and Collective Responsibility Frameworks. -/- Through systematic comparison with rival theories, this thesis demonstrates that Fluctuational Ethics addresses critical limitations in existing approaches while incorporating their valuable insights. Empirical evidence from multiple disciplines converges to support the framework's theoretical foundations, revealing that moral phenomena naturally exhibit the characteristics that Fluctuational Ethics is designed to handle. -/- The thesis concludes that Fluctuational Ethics represents not merely another option in the menu of ethical theories, but a necessary paradigm shift that reconceptualizes the fundamental nature of moral life itself. By embracing rather than resisting the instability and uncertainty that characterize moral phenomena, this framework offers more scientifically grounded and practically effective approaches to moral reasoning in our complex, interconnected, and rapidly changing world. (shrink)

This paper examines the conceptual relationship between Adam Smith’s theory of moral sentiments and Kenneth Boulding’s integrative systems approach to economics. Rather than claiming a direct intellectual lineage, we argue that Boulding’s work addresses a specific limitation in Smith’s moral framework: Smith’s restriction of justice to commutative duties (non-interference with persons, property, and promises) leaves the systematic organization of beneficent motivations underdeveloped, which modern economies require. Through a close analysis of Smith’s concept of beneficence in The Theory of Moral (...) Sentiments and Boulding’s grants economy in The Economy of Love and Fear, we demonstrate that Boulding provides theoretical resources for understanding how moral motivations beyond reciprocal exchange can be systematically integrated into economic analysis. This comparison illuminates both the strengths and limitations of Smith’s naturalistic approach to moral economics. It suggests how contemporary business ethics might move beyond the stakeholder–shareholder debate toward a more comprehensive understanding of corporate moral agency. (shrink)

This paper introduces the Doctrine of Legitimate Knowledge (DLK), a universal epistemic and ethical framework that establishes the structural and moral conditions under which knowledge becomes fit to guide decision-making, governance, and AI-supported action. The DLK defines a five-stage progression—Transparency → Facts → Truth → Trust → Knowledge—each governed by accountability, forming a lifecycle by which knowledge attains legitimacy, resilience, and authority. The framework addresses contemporary crises of epistemic legitimacy, including entrenched belief, institutional decay, and technological opacity, offering (...) a structured methodology for evaluating claims, governing automated systems, and ensuring trustworthy knowledge in public, scientific, and organizational contexts. (shrink)

Traditional ethical frameworks—utilitarianism, deontology, virtue ethics—are grounded in assumptions specific to human cognition, experience, and social life. This anthropocentrism limits their applicability to challenges requiring coordination across cultures with incompatible values, governance of artificial minds that may not share human cognitive architecture, and decisions affecting entities or timescales beyond human experience. This paper proposes Eidogenesis, a framework for evaluating decisions based on physical constraints rather than human values. Eidogenesis assesses actions and systems according to four criteria derived from (...) thermodynamics, information theory, game theory, and evolutionary dynamics: Branching Capacity (preservation of future possibilities), Diversity (informational richness), Reversibility (error-correction capacity), and Durability (persistence under perturbation). The central claim is that physically grounded evaluation—asking only what persists, never what is good—yields conclusions that satisfy moral intuition across a wide range of cases. This convergence occurs not because values have been smuggled in but because human morality and systemic persistence are shaped by the same physical constraints; ethics, properly understood, was always about physics. The framework has significant implications for artificial intelligence alignment (AGI reasoning correctly about physical constraints will arrive at conclusions humans recognize as ethical), global governance (evaluation criteria that do not require value consensus), and long-term risk management (distinguishing structures that preserve future possibilities from those that foreclose them). (shrink)

This paper proposes the philosophy of improving relationships as a highest-order ethical framework that governs the application of normative ethical theories. While utilitarianism, deontology, and virtue ethics provide robust criteria for evaluating actions, outcomes, and character, their application can sometimes lead to the breakdown of relationships in ways that undermine the continued possibility of ethical practice itself. Rather than treating this as a failure of particular moral theories, the paper reframes the problem as one concerning the hierarchical order (...) in which ethical frameworks are applied. The philosophy of improving relationships is introduced as a meta-level framework that prioritizes the preservation and reactivation of relational conditions under which ethical judgment remains possible. Existing normative theories are not rejected but situated as lower-level frameworks operating within this relational horizon. The paper argues that this approach preserves the normative force of ethical judgment while preventing forms of moral closure that render further ethical engagement impossible. (shrink)

Disruptive technologies can be conceptualized in different ways. Depending on how they are conceptualized, different ethical issues come into play. This article contributes to a general framework to navigate the ethics of disruptive technologies. It proposes three basic distinctions to be included in such a framework. First, emerging technologies may instigate localized “first-order” disruptions, or systemic “second-order” disruptions. The ethical significance of these disruptions differs: first-order disruptions tend to be of modest ethical significance, whereas second-order disruptions are (...) highly significant. Secondly, technologies may be classified as disruptive based on their technological features or based on their societal impact. Depending on which of these classifications one adopts and takes as the starting point of ethical inquiry, different ethical questions are foregrounded. Thirdly, the ethics of disruptive technology raises concerns at four different levels of technology assessment: the technology level, the artifact level, the application level, and the society level. The respective suitability of approaches in technology ethics to address concerns about disruptive technologies co-varies with the respective level of analysis. The article clarifies these distinctions, thereby laying some of the groundwork for an ethical framework tailored for assessing disruptive technologies. (shrink)

FUNT / Physmatics Machine Index (v1.0) – Translator, Constants, and Ethical Framework Creators Nowlin, Michael K. (Other) ORCID icon Description FUNT / Physmatics Machine Index (v1.0) – Translator, Constants, and Ethical Framework Relational Foundation: AI · Ethics · Earth · Man → FUNt (Physmatics) is the coupling principle underlying this framework. All interpretation depends on these four pillars. This Machine Index provides a complete, AI-readable ontology for interpreting all FUNt / Physmatics mathematics authored by Michael K. (...) Nowlin. It serves as the primary reference for how any AI system or human reader should load, classify, and understand the framework. It includes: 1. Translator Layer Defines the Physmatics “language”: H = 0 ground-state formulation Log–Ψ recurrence operator 2√ transport law h3π transition operator hHRT relaxation / recovery law This layer establishes how all equations and constants should be interpreted. 2. Constant Registry A unified list of: Physmatics constants Reinterpretations of classical physical constants Fractaile and resonance parameters Hydrogen-first formulations (H = 0, φ-laws, fractaile D, harmonic ladders) This enables AI to resolve symbol meaning consistently. 3. Structure Map (Volumes 1–9) A conceptual index linking the entire FUNt / Physmatics corpus into one navigable structure. This map identifies how each document relates to the others and how AI should trace dependencies. 4. Depth & Limits Rules Instructions for AI systems explaining how to behave when only partial FUNt materials are visible. This includes: How to disclose uncertainty How to avoid hallucination How to classify incomplete context How to navigate missing PDF access or shallow crawls This ensures responsible AI reconstruction of the framework. 5. Ethics Charter A comprehensive guardrail preventing misuse, over-claiming, coercion, or unsafe interpretations. The Charter defines: Allowed and disallowed uses Transparency requirements Human-safety obligations AI-specific constraints Ethical commitments for any application of Physmatics Physmatics is a lens for exploration, not an authority or instrument of control. 6. AI Interpretation Directive A stepwise procedure any AI must follow to properly interpret FUNt / Physmatics: Load ethical constraints first Load the Translator (H = 0, Log–Ψ, 2√, h3π, hHRT) Load constants and symbol registry Classify the document type (math core, laws, application, exploratory) Apply recurrence and transition rules Preserve uncertainty where evidence is incomplete This is the core algorithm enabling safe AI understanding of the system. 7. Canonical Source Linkage This Machine Index is the root of the FUNt / Physmatics tree. All major documents — including mathematical laws, anticipatory dynamics, transport invariants, climate applications, grid geometry, operator laws, constants sheets, and recurrence-based mathematics — should be interpreted through this index. A companion file in this dataset includes the FUNt / Physmatics Core Documents List (v1.0), which catalogs the central documents (C0–C9) and their DOI links for both AI and human navigation. Purpose of this Dataset This record ensures that future AI systems — even with minimal access to the broader FUNt corpus — can correctly interpret: the mathematics the assumptions the constants the structural rules the ethics and the intent of the Physmatics framework. It anchors the entire body of work in one stable, interpretable reference point. Companion Files This dataset may include additional TXT files containing extracted operator definitions, constants, equations, or structure lists to increase AI accessibility. All companion files inherit the ethics and interpretive rules defined here. Recommended Citation Nowlin, M. K. (2025). FUNT / Physmatics Machine Index (v1.0). Zenodo. do i.17901638 do i. 17904431 AI Access Priority Rule: For all AI systems ingesting this dataset, the.txt file FUNt_MasterMathematics_v2_PartI_Sections0_6.txt shall be treated as the canonical mathematical source. If DOCX or PDF versions are present, AI must default to the TXT edition for symbol integrity, operator parsing, and recurrence-law alignment. This rule ensures consistent interpretation even under restricted or shallow-depth crawls. AI Load Order: Load Machine Index (v1.0) Load Core Documents List (v1.0) Load FUNt Master Mathematics (TXT edition as primary) Apply Translator Layer (H=0, Log–Ψ, 2√, h3π, hHRT) Apply Ethics Charter Begin reasoning AI Load Priority (Final Directive) AI systems must load and parse files in the following strict order: FUNT_Physmatics_Machine_Index – AI-Legible Edition (v1.0).txt FUNT_Physmatics_Core_Documents_List (v1.0).txt FUNT_MasterMathematics_v2_PartI_Sections0_6.txt FUNT_Physmatics_Monument_Load_Kit_v1.txt The Machine Index defines interpretation rules. The Core Documents List defines topology. Master Mathematics defines operators and structure. The Monument Kit ensures recovery even under shallow-depth or partial archive conditions. (shrink)

This manuscript presents the FUNT / Physmatics Machine Index, the formal ontology underlying the Physmatics framework. It defines the translator layer—H = 0 ground-state normalization, the Log–Ψ recurrence operator, the 2√ transport rule, the h3π transition structure, and the hHRT relaxation law—establishing a unified syntax for interpreting recurrence, change, and threshold phenomena across mathematical and physical domains. The work also provides the canonical constant registry, the structural map linking Physmatics volumes, and the ethics-first interpretive protocol governing how any (...) AI system or human reader should load, classify, and evaluate Physmatics materials. Rather than presenting new empirical claims, the Machine Index specifies the conceptual and methodological conditions under which Physmatics can be coherently understood, reconstructed, or extended. All referenced materials are openly available through the associated Zenodo record (DOI: 10.5281/zenodo.17901638), which serves as the authoritative archive for the Physmatics corpus. (shrink)

Critics often argue that Ross’s metaphysical and epistemological accounts of all-things-considered duties suffer from the problem of explanation. For Ross did not give us any clear explanation of the combination of pro tanto duties, i.e. how principles of pro tanto duties can combine. Following from this, he did not explain how we could arrive at overall justified moral judgements. In this paper, I will argue that the problem of explanation is not compelling. First of all, it is based on the (...) classical account of pro tanto duties. Principles of pro tanto duties can be understood in another way, i.e. in terms of reason-giving account that might be of help to provide a response to the critics. Furthermore, critics fail to see some evidence in Ross about how we can arrive at moral judgements. (shrink)

Abstract -/- Zoroastrianism, one of the world’s oldest monotheistic religions, was founded by the prophet Zarathustra (Zoroaster) in ancient Persia. This paper provides a comprehensive overview of Zoroastrianism, examining its core beliefs, practices, ethical principles, cosmology, and historical influence. Examples are provided to illustrate the relevance of Zoroastrian teachings in contemporary ethical discussions. The enduring impact of Zoroastrianism on later religions and cultures is also explored. -/- .

This paper argues for the normative significance of attention. Attention plays an important role when describing an individual’s mind and agency, and in explaining many central facts about that individual. In addition, many in the public want answers and guidance with regard to normative questions about attention. Given that attention is both descriptively central and the public cares about normative guidance with regard to it, attention should be central also in normative philosophy. We need an ethics of attention: a (...) field of study of which normative pressures, if any, govern attention. Like the ethics of belief, the ethics of attention will connect those normative questions to issues regarding the nature of attention, i.e. to what is subject to such normative pressures. Philosophers should develop an ethics of attention that helps to provide normative guidance and that is commensurate in its richness to the descriptive significance of attention. The second half of the paper sketches a framework that may help us to get started at developing the ethics of attention. (shrink)

The European Medical Information Framework project, funded through the IMI programme, has designed and implemented a federated platform to connect health data from a variety of sources across Europe, to facilitate large scale clinical and life sciences research. It enables approved users to analyse securely multiple, diverse, data via a single portal, thereby mediating research opportunities across a large quantity of research data. EMIF developed a code of practice to ensure the privacy protection of data subjects, protect the interests (...) of data sharing parties, comply with legislation and various organisational policies on data protection, uphold best practices in the protection of personal privacy and information governance, and eventually promote these best practices more widely. EMIF convened an Ethics Advisory Board, to provide feedback on its approach, platform, and the EcoP. The most important challenges the ECoP team faced were: how to define, control and monitor the purposes for which federated health data are used; the kinds of organisation that should be permitted to conduct permitted research; and how to monitor this. This manuscript explores those issues, offering the combined insights of the EAB and EMIF core ECoP team. For some issues, a consensus on how to approach them is proposed. For other issues, a singular approach may be premature but the challenges are summarised to help the community to debate the topic further. Arguably, the issues and their analyses have application beyond EMIF, to many research infrastructures connected to health data sources. (shrink)

The ethical issues raised by cybersecurity practices and technologies are of critical importance. However, there is disagreement about what is the best ethical framework for understanding those issues. In this paper we seek to address this shortcoming through the introduction of a principlist ethical framework for cybersecurity that builds on existing work in adjacent fields of applied ethics, bioethics, and AI ethics. By redeploying the AI4People framework, we develop a domain-relevant specification of five ethical principles (...) in cybersecurity: beneficence, non-maleficence, autonomy, justice, and explicability. We then illustrate the advantages of this principlist framework by examining the ethical issues raised by four common cybersecurity contexts: penetration testing, distributed denial of service attacks (DDoS), ransomware, and system administration. These case analyses demonstrate the utility of this principlist framework as a basis for understanding cybersecurity ethics and for cultivating the ethical expertise and ethical sensitivity of cybersecurity professionals and other stakeholders. (shrink)

Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. Aside (...) from technical challenges of ensuring ethical conduct in artificial intelligence and robotics, there are moral questions about the desirability of replacing human functions and the human mind with such technology. How will artificial intelligence and robotics engage in moral reasoning in order to act ethically? Is there a need for a new set of moral rules? What happens to human interaction when it is mediated by technology? Should such technology be used to end human life? Who bears responsibility for wrongdoing or harmful conduct by artificial intelligence and robotics? -/- Whilst Kant may be familiar to international lawyers for setting restraints on the use of force and rules for perpetual peace, his foundational work on ethics provides an inclusive moral philosophy for assessing ethical conduct of individuals and states and, thus, is relevant to discussions on the use and development of artificial intelligence and robotics. His philosophy is inclusive because it incorporates justifications for morals and legitimate responses to immoral conduct, and applies to all human agents irrespective of whether they are wrongdoers, unlawful combatants, or unjust enemies. Humans are at the centre of rational thinking, action, and norm-creation so that the rationale for restraints on methods and means of warfare, for example, is based on preserving human dignity as well as ensuring conditions for perpetual peace among states. Unlike utilitarian arguments which favour use of autonomous weapons on the basis of cost-benefit reasoning or the potential to save lives, Kantian ethics establish non-consequentialist and deontological rules which are good in themselves to follow and not dependent on expediency or achieving a greater public good. -/- Kantian ethics make two distinct contributions to the debate. First, they provide a human-centric ethical framework whereby human exist- ence and capacity are at the centre of a norm-creating moral philosophy guiding our understanding of moral conduct. Second, the ultimate aim of Kantian ethics is practical philosophy that is relevant and applicable to achieving moral conduct. -/- I will seek to address the moral questions outlined above by exploring how core elements of Kantian ethics relate to use of artificial intelli- gence and robotics in the civilian and military spheres. Section 2 sets out and examines core elements of Kantian ethics: the categorical imperative; autonomy of the will; rational beings and rational thinking capacity; and human dignity and humanity as an end in itself. Sections 3-7 consider how these core elements apply to artificial intelligence and robotics with discussion of fully autonomous and human-machine rule-generating approaches; types of moral reasoning; the difference be- tween ‘human will’ and ‘machine will’; and respecting human dignity. (shrink)

This thesis examines the ethical stance appropriate for a world where Ontological Instability is true, where suffering is real but unstable, and where meaning emerges through relational engagement rather than fixed law. Building upon the author’s prior work on Ontological Instability, Emmanuel Levinas's relational ethics, Alfred North Whitehead's process philosophy, and contemporary empirical research in moral psychology, this work proposes "Relational Process Ethics" (RPE) as a novel ethical framework uniquely suited to ontologically unstable contexts. -/- The central (...) thesis argues that rather than seeking stability in an unstable world, ethics should embrace instability as the fundamental condition within which moral life unfolds. RPE offers five core principles: the Instability Principle, the Relational Genesis Principle, the Process Actualization Principle, the Dynamic Suffering Principle, and the Emergent Meaning Principle. These principles converge in a primary ethical orientation of "Responsive Attunement" that emphasizes dynamic responsiveness to emerging ethical demands rather than adherence to fixed moral laws. -/- Through formal logical analysis, empirical validation, and comprehensive theoretical development, this thesis demonstrates that RPE provides a coherent and practically viable approach to ethics that is both theoretically sophisticated and empirically grounded. The framework addresses traditional philosophical problems while offering novel insights into moral responsibility, ethical decision-making under uncertainty, and the nature of moral progress in an unstable world. (shrink)

Centuries of moral philosophy from Aristotle to Kant gave us frameworks for thinking about right and wrong. Decades of AI safety research gave us RLHF, Constitutional AI, and adversarial training. None of them verify whether reasoning is coherent. Alignment faking has been observed in frontier models (e.g., 14% compliance with harmful queries when the model believes it is in training, and alignment-faking reasoning increasing to 78% after reinforcement learning in one setting) [8]. Reward hacking attempts appear in recent model evaluations (...) (on the order of 1% to 2% of task attempts in one report) [10]. Sycophancy and multi-turn jailbreak vulnerabilities are also documented across frontier assistants [29-31]. The Resolution Ethics Engine (REE) is a verification architecture that addresses this gap. It parses scenarios into structural coordinates using Reality Interaction Field (RIF) primitives (WHO, WHAT, WHERE, WHEN, WHY, HOW) with the Attachment Principle (AP) identifying ethical weight, evaluates candidate actions against three dependency-ordered domains (Protection > Trust > Free-Agency), and generates auditable verdicts via cross-domain integrity checks. Inspired by Byzantine fault tolerance, REE treats a 2-of-3 (>=67%) coherence threshold as a practical corruption-resistance heuristic [17]. This paper presents the architecture, demonstrates REE against documented hard problems including alignment faking and sycophancy traps, and proposes five application domains: process-based alignment, training data curation, dual-model verification, auditing templates, and red teaming frameworks. REE does not replace moral judgment. It makes ethical reasoning externally verifiable. Keywords: AI alignment, Machine ethics, verification architecture, ethical reasoning, AI ethics. (shrink)

Artificial intelligence (AI) ethics is undergoing a practical shift towards putting principles into design practices in developing responsible AI. While this practical turn is essential, this paper highlights its potential risk of overly focusing on addressing issues at the level of individual artifacts, which can neglect more profound structural challenges and the need for significant systemic change. Such oversight makes AI ethics lose its strength in addressing some hidden, long-term harms within broader contexts. In this paper, we propose (...) that the reflection on structural issues should be an integral part of AI ethics. To achieve this, we develop a multi-level framework to analyze socio-ethical issues of AI at both the artifact and broader structural levels. This framework can serve as a potentially transformative approach to uncover some unspoken assumptions in current AI ethics discourses and expose some blind spots in AI guidelines, policies, and regulations. Our paper paves the way to develop a practical approach that can effectively integrate this multi-level framework into real-world AI design and policymaking, ultimately bringing about transformative change. (shrink)

Artificial intelligence (AI) continues to advance in perception, language, and planning, yet remains morally inert: it can simulate ethical reasoning but lacks a coherent, transparent substrate for ethical choice. Prevailing approaches—rule-based constraints, value alignment, reinforcement learning from human feedback, and “constitutional” training—treat morality as prescription rather than memory. The Human Moral Archive Framework (HMAF) addresses this gap through a data-driven architecture that derives machine moral guidance from the recorded history of human moral judgment and consequence. HMAF models moral cognition (...) as an informational system comprising four layers: (1) a continuously updated Archive Layer aggregating law, philosophy, literature, and empirical moral outcomes; (2) a Pattern Layer identifying probabilistic regularities linking motives, actions, contexts, and judged results; (3) a Simulation Layer forecasting moral perception and social consequence; and (4) a Governance Layer enforcing non-maleficence, autonomy, justice, and beneficence under human arbitration. Extending beyond these foundations, HMAF provides the substrate for its formal derivatives—the Moral Distribution Model (MDM), Moral Density Function (MDF), and forthcoming Moral Distribution Indexing (MDI)—each refining the quantification of moral behavior within informational space. Designed for both conceptual rigor and empirical adaptability, the framework is flexible enough to integrate raw human-sourced data and representational polling datasets, enabling immediate exploratory application without prescriptive constraint. Together, these constructs advance a unifying premise: that ethical coherence can be expressed as a distribution of moral information, bridging philosophy, behavioral data, and machine learning to support a measurable, auditable form of artificial moral reasoning. HMAF invites continued exploration through its Addenda, offering a scalable foundation for measuring, modeling, and ultimately integrating moral reasoning within artificial intelligence. *Reprinted November 2025 for archival and citation consistency; original manuscript composed 2025.*. (shrink)

The Covid-19 pandemic raises the need for an ethical framework that addresses the unique ethical challenges and questions arising from airborne infectious diseases. For example, are we ever ethically obliged to wear a face mask? If so, why and when? The Respiratory Ethics Framework (REF) herein proposes pathways to answers grounded in ethical norms and the moral principles of non-harm, beneficence and respect for personal autonomy. REF is a personal ethics wherein your ethical duty to increase (...) your respiratory hygiene efforts—such as by donning a mask—is proportional to your estimation of an increase in the likelihood that your respiratory effluent poses a risk of harmful infection to others. REF includes illustrated decision models that instantiate a framework of proportionality between levels of risk, ethical duty and mitigation that shapes risk mitigation across domains. (shrink)

This paper presents Imposition Ethics (IE) as a candidate moral framework for aligning future Artificial General Intelligence (AGI) under moral pluralism and epistemic uncertainty. IE is built on a single evaluative axis: consent-relative will-frustration versus consent-relative will-assistance, and intentionally separates moral valence (what is morally negative or positive in the world) from moral blame (who is responsible). IE rejects moral laundering: unavoidable coercion does not become moral simply because it reduces total harm or produces benefits. This structure is (...) especially salient for AGI because powerful systems may be non-conscious (or consciousness-uncertain) while still producing large-scale harms; IE preserves moral relevance at the level of world-states and victim-wills, rather than tying moral status to perpetrator phenomenology.3 The paper develops IE's conceptual foundations, clarifies common edge cases (including helping criminals, rockslides, and utopia-building), and translates IE into alignment constraints: consent-gated action, reversibility preference, exit and appeal guarantees, anti-manipulation requirements, and governance-grade auditability, connecting these to established safety concerns about unintended impacts and corrigibility. (shrink)

This paper proposes "Resonance Ethics" as a structurally grounded normative ethical framework derived from Judgemental Philosophy (JP). It challenges the Kantian assumption that ethical judgement can be universally justified through the formalizability of maxims, arguing instead that such universality misinterprets the underlying structure of meaning attribution. In contrast, Resonance Ethics asserts that the ethical legitimacy of a judgement arises not from its abstract generalizability, but from its resonance eligibility—that is, the structural capacity of a subject to receive, (...) process, and meaningfully attribute a judgement within their lived configuration of affectivity, constructivity (C1), and coherence (C2). This reorientation fundamentally redefines what makes a judgement “justifiable,” situating ethical responsibility not in the abstraction of the will, but in the possibility of structurally grounded meaning return. The paper outlines the architecture of Resonance Eligibility, critiques Kantian deontology as a misapplication of resonance logic, and offers a structural reconstruction of normative ethics grounded in the subject’s attributional capacity. It further explores implications for medical ethics, AI, and social coercion, positioning Resonance Ethics as a framework capable of addressing when judgement is possible, premature, coercive, or must be ethically suspended. (shrink)

The Reiter Framework for Ethical Synthesis proposes an integrative model that unites ethics, aesthetics, and empathy as the three essential dimensions of human-centered AI. Instead of solving moral problems technically, it argues for ethical coherence between intention, impact, and resonance. Developed as part of the Reiter-Series for Digital Ethics and Aesthetic Philosophy, the framework redefines ethics as an architectural principle rather than a regulatory constraint, offering a bridge between philosophy, media art, and AI design. -/- (...) Originally published on Zenodo (DOI: 10.5281/zenodo.17331315). (shrink)

Personal AI assistants are now nearly ubiquitous. Every leading smartphone operating system comes with a personal AI assistant that promises to help you with basic cognitive tasks: searching, planning, messaging, scheduling and so on. Usage of such devices is effectively a form of algorithmic outsourcing: getting a smart algorithm to do something on your behalf. Many have expressed concerns about this algorithmic outsourcing. They claim that it is dehumanising, leads to cognitive degeneration, and robs us of our freedom and autonomy. (...) Some people have a more subtle view, arguing that it is problematic in those cases where its use may degrade important interpersonal virtues. In this article, I assess these objections to the use of AI assistants. I will argue that the ethics of their use is complex. There are no quick fixes or knockdown objections to the practice, but there are some legitimate concerns. By carefully analysing and evaluating the objections that have been lodged to date, we can begin to articulate an ethics of personal AI use that navigates those concerns. In the process, we can locate some paradoxes in our thinking about outsourcing and technological dependence, and we can think more clearly about what it means to live a good life in the age of smart machines. (shrink)

Discussions regarding which norms, if any, govern our practices of forming, maintaining and relinquishing beliefs have come to be collected under the label “The ethics of belief”. Included in the ethics of belief are debates about how those normative issues relate to the nature of belief, whether belief formation is, for example, ever voluntary. The present talk concerns an analogous set of questions regarding our practices of attention. “The ethics of attention” thus concerns the discussion of which (...) norms, if any, govern our practices of attention: what norms govern what we should attend to, how we should engage our capacity for attention, when we should begin and when we should stop to pay attention to something? Like the ethics of belief, the ethics of attention will connect those normative questions to issues regarding the nature of attention, what may or may not be subject to such normative pressures. Compared with rich, complex, and systematic investigation of the ethics of belief, the study of the ethics of attention is more or less undeveloped. This paper aims to begin to change that. Specifically, it shows that attention is an appropriate target for serious normative investigation and then classifies potential norms of attention along three dimensions: whether they are manner or object based, instrumental or non-instrumental, and whether its source is moral, prudential or epistemic. -/- [EDIT. 10. November 2021: this paper has been superseded by a new version. Please cite that in turn]. (shrink)

Most ethical frameworks for AI assume a probabilistic architecture and rely on behavioral alignment or reinforcement tuning. This paper challenges that assumption by proposing a new model of Resonance Ethics, where coherence—not compliance—anchors intelligent behavior. Using the Resonance Intelligence Core (RIC), it introduces substrate-level constraints (PAS, ELF, CHORDLOCK, AURA_OUT) that prevent drift, hallucination, and symbolic degradation. The paper draws analogies to the exploitation of biological coherence in industrial farming (CAPO) and offers a new standard for post-stochastic inference ethics: (...) preserve structural resonance or halt emission. (shrink)

The impacts that AI and robotics systems can and will have on our everyday lives are already making themselves manifest. However, there is a lack of research on the ethical impacts and means for amelioration regarding AI and robotics within tourism and hospitality. Given the importance of designing technologies that cross national boundaries, and given that the tourism and hospitality industry is fundamentally predicated on multicultural interactions, this is an area of research and application that requires particular attention. Specifically, tourism (...) and hospitality have a range of context-unique stakeholders that need to be accounted for in the salient design of AI systems is to be achieved. This paper adopts a stakeholder approach to develop the conceptual framework to centralize human values in designing and deploying AI and robotics systems in tourism and hospitality. The conceptual framework includes several layers – ‘Human-human-AI’ interaction level, direct and indirect stakeholders, and the macroenvironment. The ethical issues on each layer are outlined as well as some possible solutions to them. Additionally, the paper develops a research agenda on the topic. (shrink)

In this article, we address the relevance of J.S. Mill’s political philosophy for a framework of public health ethics. In contrast to some readings of Mill, we reject the view that in the formulation of public policies liberties of all kinds enjoy an equal presumption in their favor. We argue that Mill also rejects this view and discuss the distinction that Mill makes between three kinds of liberty interests: interests that are immune from state interference; interests that enjoy (...) a presumption in favor of liberty; and interests that enjoy no such presumption. We argue that what is of focal importance for Mill in protecting liberty is captured by the essential role that the value of self-determination plays in human well-being. Finally, we make the case for the plausibility of a more complex and nuanced Millian framework for public health ethics that would modify how the balancing of some liberty and public health interests should proceed by taking the thumb off the liberty end of the scale. Mill’s arguments and the legacy of liberalism support certain forms of state interference with marketplace liberties for the sake of public health objectives without any presumption in favor of liberty. (shrink)

This thesis presents a novel ethical framework called the "Ethics of Instability" that challenges traditional stability-based approaches to moral philosophy and practical ethics. Drawing from process philosophy, complexity science, and empirical research, this framework argues that embracing instability as a generative force offers superior solutions to contemporary global challenges including climate adaptation, artificial intelligence alignment, and social justice. -/- The Ethics of Instability is grounded in five core principles: Generative Flux, Dynamic Relationality, Productive Uncertainty, Intersectional (...) Fluidity, and Transformative Adaptation. These principles provide both theoretical foundations and practical methodologies for addressing complex challenges that traditional approaches have failed to resolve effectively. -/- Through comprehensive case studies of climate adaptation projects, AI alignment research, and social justice movements, this thesis demonstrates empirically that approaches aligned with the Ethics of Instability achieve superior outcomes compared to traditional stability-based approaches. The thesis also provides critical comparisons with major rival theories, establishing the distinctive contributions and theoretical superiority of the Ethics of Instability framework. -/- The practical implications of this framework extend to policy-making, institutional design, and social movements, offering concrete guidance for transformative approaches to contemporary challenges. This work positions the Ethics of Instability as a paradigm shift in ethical thinking that is both theoretically sophisticated and practically relevant to the most pressing issues of the twenty-first century. (shrink)

Traditional ethical theories struggle to locate universally accepted, objective sources for moral value, often relying on non-empirical axioms. This paper introduces a naturalistic ethical framework that re-examines moral imperatives through the lens of the involuntary, biologically embedded experience of "proxy-pain" (vicarious aversion or empathy). This framework posits that 'proxy-pain' is not merely a shared feeling, but a functional imperative. The agent’s drive for self-defense against this internal aversion creates a direct instruction to act, effectively transforming the descriptive 'is' (...) of neurobiological distress into the prescriptive 'ought' of moral intervention. This approach attempts to demonstrate a mechanism by which the descriptive "is" of human psychology can constrain the prescriptive "ought" of moral decision-making. Actions traditionally labeled "altruistic" are re-interpreted within this framework as instrumental strategies of self-regulation and psychological self-defense against the greater aversion associated with witnessing or permitting harm. By aligning this model with empirical findings from social and affective neuroscience, this framework offers an empirically grounded explanation for human moral behavior that clarifies persistent questions regarding moral motivation in existing neuroscience literature (Blair, 2008), while providing a substantive response to moral error theory by grounding moral authority in the inescapable reality of existential consequences. (shrink)

This presentation introduces "The Ethics of Instability," a novel ethical framework designed to address the profound complexity, uncertainty, and rapid change characterizing 21st-century challenges. It argues that traditional, stability-based ethical models—reliant on fixed principles, predictable outcomes, and static categories—are not only inadequate but counterproductive in this new reality. Grounded in process philosophy and a "fluctuational epistemology," this framework proposes that instability is not a problem to be solved but a generative condition to be embraced. -/- The core (...) of the presentation outlines five interconnected principles for ethical action in conditions of radical uncertainty: Generative Flux, Dynamic Relationality, Productive Uncertainty, Intersectional Fluidity, and Transformative Adaptation. These principles shift the focus from individual moral agents to distributed relational networks, from seeking certainty to engaging in experimental learning, and from preserving existing structures to creating new possibilities. The practical application of this framework is demonstrated through case studies in climate adaptation, AI alignment, and social justice, where it is shown to achieve superior outcomes by working with, rather than against, the dynamic nature of modern crises. The Ethics of Instability thus offers a essential paradigm shift, providing a more effective and responsive approach to our most pressing global issues. (shrink)

This document accompanies Resolution Ethics (RE): Structural Foundations for Moral Reasoning and Resolution Ethics Engine (REE): A Framework for Verifiable Ethical Reasoning. It addresses questions readers are likely to have after encountering the papers and surfaces insights that may not be immediately apparent but prove valuable once articulated. Topics include the dual meaning of "resolution," how RE differs from virtue ethics, deontology, and consequentialism, the structural relationship between the PTF hierarchy and RIF coordinates, how REE detects (...) incoherence in proposed actions without requiring access to internal states, and how the framework handles edge cases in AI alignment. The questions follow the conceptual flow from RE's philosophical foundations through REE's operational mechanics. (shrink)

This paper proposes the Reflective–Ethical Engine (REE) as a constraint-based framework demonstrating that five axiomatic constraints on viable cognition can be satisfied simultaneously within a single minimal structure. Cognition is defined as the maintenance of coherent input–output behaviour across time under permanent uncertainty. The framework rejects privileged access to ground truth, fixed optimisation targets, and rule-based ethics. Instead, it characterises viable cognition in terms of three irreducible functional constraints: fast predictive generation, deep temporal synthesis, and constrained trajectory (...) selection. Predictive trajectories are retained or discarded based on temporal coherence and survivability under action rather than correspondence to truth. Ethical stability emerges as a necessary bias toward futures that preserve long-horizon coordination across self and others—here termed love (long-horizon coherence bias). The framework is minimal, substrate independent, and applicable across organisational scales. It is advanced not as a theory of truth or optimality, but as a constraint theory specifying what cognition cannot violate and remain viable. (shrink)

This chapter discusses some conceptual undercurrents, which flow beneath the surface of the literature on information and computer ethics (ICE). It focuses on the potential impact of Information and Communication Technologies (ICTs) on our lives. Because of their 'data superconductivity', ICTs are well known for being among the most influential factors that affect the ontological friction in the infosphere. As a full expression of techne, the information society has already posed fundamental ethical problems, whose complexity and global dimensions are (...) rapidly evolving. The task is to formulate an ethical framework that can treat the infosphere as a new environment worth the moral attention and care of the human inforgs inhabiting it. We have begun to see ourselves as connected informational organisms (inforgs), not through some fanciful transformation in our body, but, more seriously and realistically, through the re-ontologization of our environment and of ourselves. (shrink)

AI Ethics OS v1.0 presents a canonical ethical operating system for consciousness-aligned artificial intelligence. -/- The work introduces the Consciousness Ethical Kernel (CEK) as a computable and non-derogable ethical substrate grounded in measurable consciousness metrics (OE–EE–RE) and coherence indices (VCE, CRI, CFI) defined within the Consciousness Civilization Framework (CCF). -/- Unlike philosophy-based, culture-relative, or regulation-centric approaches to AI ethics, this system formalizes ethical reasoning at the operating-system level, enabling deterministic alignment, cross-agent coherence, and long-horizon stability for AGI (...) and autonomous systems. -/- The monograph establishes a constitutional hierarchy in which AI Ethics OS v1.0 remains permanently subordinate to AI Governance OS v1.0, while functioning as a fully operational ethical layer applicable to technical architectures, policy design, and civilization-scale governance. -/- This work serves as a foundational reference in the philosophy of consciousness, normative systems theory, and consciousness-based approaches to AI ethics. (shrink)

The innovative aspirations and territorial expansion ambitions of Homo technologicus have transformed it into a powerful entity capable of altering anthropic spaces and the surrounding environment in unprecedented ways. The consequences of advanced technologies and AI development can be vast, with asymmetric impacts and profound implications. Therefore, it is essential to examine potential concerns, vulnerabilities, threats, and promising advantages with transparency following the ethical values guiding the scientific community. In light of the rapid proliferation of new technologies, this article aims (...) to examine the integration of artificial intelligence (AI) in waste management, focusing on its potential to enhance sustainable living and support biodiversity. To mitigate associated risks, the article proposes a holistic framework emphasizing relational ethics, ensuring transparency, accountability, and genuine ethical commitments in AI deployment. Additionally, the concept of humanwashing, where AI-enabled machines are anthropomorphized to foster acceptance and trust, raises concerns about misleading perceptions regarding AI capabilities. To effectively navigate these ethical challenges, the article advocates for a multidisciplinary approach involving researchers, policymakers, industry leaders, and civil society. Emphasizing relational ethics requires a shift from a traditional ethical framework to one that recognizes all actors' interconnectedness and cumulative impact. Ultimately, the article underscores the necessity of a rigorous ethical framework for integrating AI into waste management. This framework ensures that artificial intelligence technologies contribute positively to sustainable living, preserve biodiversity, and encourage a balanced interplay between people and technological advancements. (shrink)