Dr. Michael Cary and Megan Wood discussed AI governance in clinical practice, emphasizing values-based oversight, local validation, and human judgment in regulation.
Dr. Michael Cary and Megan Wood discussed AI governance in clinical practice, emphasizing values-based oversight, local validation, and human judgment in regulation.
As investigations grow more complex, regulators are using AI to manage digital evidence while maintaining human judgment, transparency, and procedural fairness.
As AI enters public-facing systems, regulators face false positives, human oversight failures, and accountability gaps, where real-world consequences, not technical performance shape risk and public trust.
As AI becomes embedded in regulation, a fireside chat examined why institutional readiness, governance, and human accountability matter more than tools alone
In his keynote at the AI in Regulation Conference, Dr. Fola Adeleke urged regulators to treat Responsible AI as a matter of oversight, procurement, and accountability.
As the AI in Regulation Conference continues, regulators turn to the practical realities of AI use and what it means for oversight, accountability, and public trust
At the AI in Regulation Conference, regulators examined how AI is reshaping governance, board oversight, and public risk management, with day one emphasizing a use-case-driven, mandate-focused approach.
Carol Anne Hilton warned that as AI systems advance faster than oversight, neutrality risks becoming less a safeguard and more an unspoken concession of authority.
