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Global AI governance must empower LMICs to lead and shape health innovation through inclusive, context-driven collaboration

सेंट्रल बँक्स आपल्या कामकाजात सुधारणा करण्याची ‘एआय’ची

Central banks are cautiously integrating AI, recognising its potential to enhance their functions while being mindful of the risks involved

A user-centric bottom-up approach to ethics in AI could be the answer to regulating AI innovation that is usually too fast and dynamic for a central r

How AI systems impact the environment and how we can be more sustainable in their design, development, and deployment

There continues to be speculation and worry about what will happen next and about when the pandemic will end and what the world will look like after.

Stakeholder groups have produced various guidelines on ethical Artificial Intelligence (AI) in recent years. However, translating principles into practice continues to be a massive challenge, as AI markets expand and AI risks are heightened. AI audits—or the process of investigating an algorithm against existing regulations and known harms—are emerging as a way of bridging the gap between principle and practice. This paper scans the landscape

In recent years, different research institutions, government bodies, and private entities across countries have issued principles and guidelines for the ethical use of Artificial Intelligence (AI). There is little consensus, however, over universal ethical principles and how to implement them. What are the similarities and differences in AI ethics discussions across geographies, and what are the existing gaps? Crucially, if the larger goa