How Ethical Scorecards Boost Trust in AI Systems

Trust is the currency of the future in the age of AI. But how do you quantify and guarantee an AI system's ethical performance? 🤝 Some in the industry are turning to Ethical Scorecards. Cindi Howson sat down with InformationWeek to provide a framework for responsible AI from theory to a measurable, accountable practice. 🤖 Read how our Chief Data and AI Strategy Officer views explainability and transparency in today's AI: https://lnkd.in/e5QMsycp

“…Data transparency is becoming an essential component of successful AI products. Learn how ethical scorecards help AI providers and organizations sell the integrity of their offerings…” https://lnkd.in/ehaTZWJ9

InformationWeek editorial on data transparency is becoming an essential component of successful AI products. Learn how ethical scorecards help AI providers and organizations sell the integrity of their offerings.

On the ethical use of AI. A youngster had an assignment to write a four-to-five page speech discussing global problems while proffering solutions. Ten minutes later, the four-pager brilliant work of a very high intelligence quotient was turned in. I had thought to myself, how? With absolutely no intention to denigrate. “Oh well, I used AI. I told it what to do with my preferred prompt and it generated the speech for me.” We must applaud the honesty regardless. But then again, don’t imagine me staring back in utmost awe and complete disbelief at the confidence and pride they displayed from pouring outrightly and unreservedly from a machine-generated response. Now this was one of the discussions we had at the just concluded CIPM UK conference. How AI automation can drive workforce innovation, and also discern if AI evolution is a crisis or an opportunity. Some facts were made straight: 💡If governance is in place and the mindset is focused on innovation with ethical frameworks and compliance, then it is an opportunity. 💡It is an opportunity if it is used to augment or align business strategies and empower people, not necessarily a means to replacements. 💡It is a huge crisis if leadership lack clarity on the true use, purpose and value of AI automation and employees begin to fear its deployment as well, then employee morale will nosedive in no time. 💡When ethical practices are flouted upon its use and deployment, then data breaches are imminent and AI automation becomes a crisis. But then again, while the world claps at the opportunities that AI drives, a bigger crisis looms. Its ETHICAL use. Not only for this generation, but for generations to come. I read a post by Ndubuisi Ekekwe and he had said, “If you want your child to thrive in the grand AI creation, let him or her master mathematics and physics.” and that comment was in defence of how young people should rather focus on maths and physics which aid calculations and precision in AI creation as against mere AI usage. I think I failed to add in the comment section “with an additional focus on ethical considerations for both its creators and users”. I believe also, more of knowing when to deploy one’s brain or common reasoning to work, and when to deploy AI. For example, a business automating its customer support unit by 100%, when 80% of their customer base are residents in communities with constant power outages. Where is the common reasoning in that? The same way the calculators were invented to aid mathematical calculations, and not necessarily to defeat our mental capabilities to know what 2+2 equals. In simple words- Ethical and reasonable AI collaboration. Before this post goes beyond the word limit, I certainly have work to do regarding this youngster who needs to know the relationship between Quillbot and plagiarism. #Artificialintelligence #EthicalAI #AICollaboration

The article emphasizes the importance of ethical AI development as AI becomes increasingly integrated into daily life. Key components include transparency in AI systems for trust, fairness to prevent bias, robust data privacy measures, and clear accountability frameworks. Human oversight is crucial to catch AI errors, especially in critical fields like healthcare. Building an ethical culture within organizations and fostering multi-disciplinary collaboration are also vital. The ultimate goal is to balance innovation with ethical responsibility, ensuring AI serves humanity positively and equitably. #EthicalAI #AITransparency #FairAI #DataPrivacy #AccountableAI #HumanOversight #ResponsibleInnovation #AIDevelopment #TechEthics #AIForGood

The article emphasizes the importance of ethical AI development as AI becomes increasingly integrated into daily life. Key components include transparency in AI systems for trust, fairness to prevent bias, robust data privacy measures, and clear accountability frameworks. Human oversight is crucial to catch AI errors, especially in critical fields like healthcare. Building an ethical culture within organizations and fostering multi-disciplinary collaboration are also vital. The ultimate goal is to balance innovation with ethical responsibility, ensuring AI serves humanity positively and equitably. #EthicalAI #AITransparency #FairAI #DataPrivacy #AccountableAI #HumanOversight #ResponsibleInnovation #AIDevelopment #TechEthics #AIForGood

While 78% of organizations say they fully trust AI, only 40% of them invest in ethics frameworks, according to SAS research. SAS' Udo Sglavo tells The Daily Upside that creating a framework for ethical oversight “needs to happen even before you write the first line of code." http://2.sas.com/6046AtIGQ

THIS! Let me tell you, as someone who’s worked with and on AI governance frameworks for going on 8 years, there are way more well-trained tech ethicists looking for work in the field than positions within AI companies to even apply for. I’ve been a delegate on several AI ethics councils for brands either building, borrowing, or beta testing AI models (sometimes all three) and big or small, the ethos has been largely back to move fast and break things. It’s a symptom of the tech mantra of “inevitability” being translated as “adopt now or perish.” The unintended casualties being numerous - compliance failures, data mishandling, loss of user trust, low employee morale and confusion, and yes JOB LOSSES. AI ethics: 😑Isn’t an afterthought 🔝Isn’t optional ⛓️Shouldn’t be last in the chain of design or internal workflows ©️Can’t be branded 🔄Needs to come from the C suite down and from the user’s on up HIRE AI ETHICISTS! #ai #aiethics #aipolicy #techethics #aisecurity

⚖️ Many organizations are investing in AI — but not in ethics. Yet ethics is the foundation, not the accessory, of intelligence. The article points out a striking paradox: while companies pour resources into developing and deploying AI, few invest in the ethical frameworks that give these systems meaning and direction. Ethics is often treated as a cost, when in reality, it is infrastructure — the condition of possibility for any form of responsible intelligence. Without ethical reflection, AI becomes an accelerant of existing inequalities and epistemic blind spots. It automates efficiency without questioning purpose. True innovation demands more than technical capability; it requires ethical orientation — the capacity to situate intelligence within the complex web of social, ecological, and relational contexts it affects. AI ethicists play an essential role in this process. They do not slow innovation; they ensure that innovation remains intelligible, accountable, and humanly — or even more-than-humanly — grounded. If we want AI to be truly transformative, we must begin by recognizing that ethics is not a layer added after deployment. It is the first design principle. #AI #Ethics #ResponsibleAI #AIethicist #PhilosophyOfTechnology #NonAnthropocentricAI #SocioTechnicalSystems #Relationality

"Front-End Ethics" SAS' Udo Sglavo tells The Daily Upside that creating a framework for ethical oversight “needs to happen even before you write the first line of code." Explore more here👉http://2.sas.com/6046AtIGQ