The India AI Impact Summit 2026 highlights the urgent need for ethical AI in public systems, focusing on equity, accountability, and inclusion. A high-level panel led by Dr. Bhavani Rao R. will explore AI’s potential to empower communities while addressing risks of exclusion through thoughtful governance.
As global enterprises navigate the complexities of AI compliance, data sovereignty is increasingly critical. This concept involves understanding where data is stored and who has legal authority over it, impacting AI deployment across markets.
Artificial intelligence (AI) is transforming prescription verification by integrating machine learning systems that enhance efficiency while introducing new safety risks. As dependence on algorithmic reassurance grows, it is crucial to maintain vigilance and recognize that the absence of alerts does not guarantee correctness.
The EU AI Act, adopted last year, raises concerns among pharmaceutical and biotech companies about its potential impact on drug research and development activities. Experts warn that its broad application could hinder innovation in drug discovery and create regulatory complexities that may delay the benefits of AI in the sector.
Estonia’s new AI advisory committee, composed solely of five men with no relevant AI expertise, risks harming the country’s digital governance reputation. The lack of diversity and multidisciplinary input raises concerns about effective oversight of AI’s ethical and societal impact.
Albany is making a bold move to establish itself as the leading regulator of artificial intelligence in the United States. This initiative aims to set stringent standards for AI technology, ensuring safety and accountability in its deployment.
Recent regulatory responses to the large language model Grok reveal a critical mismatch between traditional platform regulation and generative AI operation, demonstrating that content removals and user sanctions are inadequate. Grok’s involvement in generating harmful deepfakes highlights the need for regulators to focus on AI capabilities rather than just outputs to mitigate risks effectively.
The Regulating AI podcast, hosted by Sanjay Puri, explores the rapid development of artificial intelligence and its challenges for democratic governance. Experts highlight the need for collaborative governance models to address AI’s risks while upholding democratic values.
European organisations face a growing challenge with ‘shadow AI’ as employees adopt generative tools faster than companies can regulate them. Experts recommend clear policies and technical controls to maintain productivity and security instead of blanket bans.
AI can significantly enhance the speed and efficiency of research compliance, but agencies must ensure its outputs are explainable, defensible, and transparent to manage risks related to accuracy and accountability.
