For much of the debate surrounding the EU AI Act, "high-risk" has been treated as a category everyone understood. It turns out that understanding it and applying it are not quite the same thing.
The UK’s privacy regulator has laid out an ambitious program of AI-related guidance, oversight, and public engagement as it seeks to support the government’s push for AI-driven economic growth while maintaining confidence in how personal data is used.
Synthetic media, popularly known as deepfakes, has evolved from an internet curiosity into a material operational and security risk. Generative AI now enables adversaries to fabricate videos, voices, and imagery that mimic reality with alarming precision. The implications extend beyond misinformation: deepfakes can erode trust, distort markets, and destabilize democratic institutions.
For all the excitement surrounding AI agents and their potential to reshape enterprise operations, a new survey from Deloitte suggests many organizations are still building the guardrails long after the engines have already started running.
As organizations continue rushing to integrate artificial intelligence into everything from internal operations to customer-facing services, regulators are trying to address how to move fast without leaving privacy protections behind.
European Union lawmakers reached a provisional agreement early Thursday on a new package of amendments to the bloc’s sweeping AI Act, striking a compromise designed to ease compliance burdens for businesses while tightening restrictions on some of the most controversial uses of artificial intelligence.
In today’s enterprise, change behaves less like a calendar event and more like a weather pattern that refuses to settle down. Markets shift faster than strategies can catch up, teams appear and disappear like pop-up shops, and regulators rewrite the rules just as everyone finishes reading the old ones. Yet most organizations are still using management models that behave like they live in a museum. Reports, governance frameworks, and analytics engines were built for a world where “change management” meant an annual meeting, not a daily lifestyle.