You may be interested to read about our editorial in Information Systems Frontiers on "Artificial Intelligence and the Bright Internet" We are living through a defining moment in the digital age. As global internet connectivity expands and AI becomes increasingly powerful and pervasive, societies are confronted with a dual reality. While these technologies offer transformative benefits—enhancing productivity, decision-making, and quality of life—they also introduce growing risks, from cyberattacks and disinformation to privacy intrusions and ethical failures in automated systems. In response to the complex challenges that may emerge from the adoption and appropriation of AI, the concept of the Bright Internet (Lee, 2015; Lee et al., 2018), and its natural evolution into Bright AI, presents a timely and transformative vision for building a secure, ethical, and human-centered digital future. Driving this emerging vision, we propose a Bright Internet and Bright AI framework—an integrative model that combines secure technologies, responsible AI ethics, and coordinated global governance to transform the internet landscape. The framework is anchored by six foundational pillars: Origin Responsibility: Ensures that digital content and AI-generated outputs are traceable to accountable sources, helping to combat anonymous threats and disinformation. Embedded within this pillar is the concept of source fairness, which calls for the inclusive and equitable creation of digital and AI content. Delivery Responsibility: Focuses on the role of intermediaries, such as internet platforms, service providers, and AI-driven distribution systems. This principle emphasizes the need for secure, ethical, and balanced content dissemination. Personalized AI: Reframes the user-facing pillar around the design of the framework, highlighting the importance of user awareness, digital literacy, and critical engagement with content, especially when interacting with AI-generated information. Privacy Protection: Advances privacy-by-design and data sovereignty. This principle ensures that individuals retain control over their data and that AI systems operate transparently, with user consent and minimal intrusion. Global Collaboration: Emphasizes the necessity of international cooperation among governments, industry, and civil society to harmonize AI and internet governance. AI Principles: Stresses the importance of explainable, fair, and accountable AI. This pillar advocates clear ethical boundaries to prevent misuse, bias, and harm, ensuring that AI remains aligned with human values. It was really great to learn from the collaboration with Indranil Bose, Gene Moo Lee, LEUNG Alvin, Dan J Kim. Also grateful to Prof. Jay Kyu Lee and Prof. Raghav Rao for their feedback for shaping this editorial. https://lnkd.in/dYuFUNfA
Sameer Mathur
1mo
Good one! The responsible organisations and governments will follow this and make AI for welfare, the white hat usage. The black hatters… go unchecked… and cause the damage. At a consumer level we must also find ways to separate the two.
Tushar Gurjar
1mo
Interesting read Prof. Arpan K. Kar, thanks for sharing. Could this also enable "optimized" or "best computing" practices from energy conservation and reduced carbon footprint perspective?
Atanu Lahiri
1mo
Nice! Sort of extends the traditional (and still relevant!) People-Process-Technology framework of information systems to a new era. Keep up the good work.
Well paraphrased and comprehensive about IT future in general and AI future in particular Professor Arpan K. Kar
Digital Transformation Expert | AI & Digital Strategy Expert | Enterprise Architect | Senior Technical Architect | TOGAF Enterprise Architecture Practitioner | Advanced Program in Tech & AI Leadership By IIT Delhi
1moInteresting Article !!