Data, AI, & Machine Learning
When AI Agents Go Rogue in Real World Tests
Researchers from MIT, Stanford and Harvard found email leaks, endless loops and system failures when autonomous agents were let loose with real access.
Researchers from MIT, Stanford and Harvard found email leaks, endless loops and system failures when autonomous agents were let loose with real access.
This year, risk has moved from the margins to the center of strategy, redefining how organizations pursue long-term advantage.
Nearly 50% of agentic AI initiatives are expected to fail by 2027. Industry leaders discuss governance, data strategy, and scalable execution to secure real-world impact.
New research emphasizes that AI governance is about establishing practices and structures to align AI investments and management with an organization's strategic interests.