AI

HHS’s new artificial intelligence strategy tests management-based regulation.

Society’s various concerns about AI must suitably be placed into a national legal strategy.

AI regulations should be guided by humility and continuous learning.

Scholar argues that anti-discrimination law alone cannot address bias hidden in algorithms.

Regulations are the product of negotiations and agreements.

Randi Seigel examines the evolving regulatory landscape for digital health tools.

Scholars examine how a dated law shapes liability for artificial intelligence used by social media platforms.

Scholar urges policymakers to reduce the role of clinicians in overseeing AI use in health care.

Effective AI governance demands strong federal standards that preserve state authority.

Scholars argue that energy disclosures increase efficiency and competition without slowing AI development.

The development of credit-reporting regulation offers lessons for AI governance.

Algorithmic efficiency may undermine the very liberal democracy it was meant to improve.