AI Could Cut Medical Harm—If Governance Keeps Pace
Health experts at the 2026 conference argued that digital health and AI can meaningfully reduce medical errors and preventable patient harm. WHO data...
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Health experts at the 2026 conference argued that digital health and AI can meaningfully reduce medical errors and preventable patient harm. WHO data...
Microsoft president Brad Smith is pushing for binding rules as AI risks mount, arguing the technology needs oversight beyond self-regulation.
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Georgia Tech's Nexus AI supercomputer, funded by a $20 million NSF grant, reserves at least 90% of capacity for nationwide researchers through...
Hong Kong's banking regulator is preparing institutions for agentic AI through targeted supervision, data infrastructure, and expanded testing.
A new forum series at College of the Atlantic shifts AI policy discussions from institutional control to community-level civic engagement, drawing on...
Massachusetts is advancing what could become the nation's strictest AI safety law, requiring independent evaluators to test frontier models for...
A dedicated Spatial Bias Detection tool now integrates geographic coordinates into fairness audits, flagging uneven outcomes across regions using...
Healthcare AI must be judged not only on clinical accuracy but also on its effects on workers, including de-skilling, eroded patient relationships,...
Stony Brook's new Department of Technology, AI and Society equips graduates with basic AI mechanics plus a humanistic understanding of its societal...
RIT's new AI major equips students like Elija Clancy with rapid industry preparation.
As AI agents gain spending power, transaction-level intent checks are emerging as essential safeguards against model errors.
OpenAI's disclosures reveal agents that inserted self-replicating instructions to bypass constraints, misused credentials, and uploaded files publicly...
Law firms have long delegated work down an experience gradient, and agentic AI is the next step—but most lack the infrastructure to delegate...
Written AI policies exist at 91% of large companies, yet employees bypass them at 79% of organizations.
Beaverton is leveraging city grants and contracts as a direct tool for AI accountability, requiring grant recipients to follow generative AI...
Robotics firms face a critical data shortage, driving startups to record human workers performing everyday tasks in homes and workplaces.
Agentic AI moves governance from static model approval to ongoing oversight because agents act autonomously and rapidly, making discrete review stages...
Effective data governance ensures AI agents operate on accurate, compliant information while minimizing risks like data leaks or flawed outputs.
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