A new study suggests that designing AI systems with varied reasoning and ethical approaches can help prevent any single model from dominating decision-making, offering a fresh perspective on the AI ...

AI is already embedded across healthcare and life sciences. Most organizations are deploying it, and confidence in its potential is high. Yet for many, the real challenge is only just beginning. This ...

Vanta reports that with AI's rapid adoption, organizations face compliance challenges that call for appropriate frameworks to ...

The way enterprises design AI today will shape the cultural and economic trajectory of creativity for years to come.​ ...

Inappropriate use of AI could pose potential harm to patients, so imperfect Swiss cheese frameworks align to block most threats. The emergence of Artificial Superintelligence (ASI) in healthcare ...

Artificial intelligence has reached a critical juncture where its behaviors are no longer confined to theoretical models or controlled lab settings. Species explores a striking example of this shift, ...

Forbes contributors publish independent expert analyses and insights. An HBS Executive Fellow, Paul Baier writes about enterprise AI. Regulated enterprises face a higher bar when pursuing AI-driven ...

Higher education institutions are investing heavily in ERP modernization, analytics, and AI-driven capabilities. Yet even with these investments, many are running into the same issue: turning insight ...

Autonomous or agentic artificial intelligence will create challenges for public trust in the technology. That is why building systems of accountability and safety is essential to AI’s future ...

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...

Opinion: AI's velocity can make a bad problem catastrophic. This means alignment is now a central priority for enterprises, ...