A senior AI safety researcher at Anthropic has resigned, warning that the “world is in peril” as artificial intelligence capabilities accelerate at extraordinary speed.

What is the purpose of AIGP? Without proper testing, evaluation, validation, and verification at each stage of AI development,...

As artificial intelligence becomes deeply embedded in how businesses operate, the need for AI governance has never been more urgent. AI systems can drive productivity, automate decision-making, and uncover insights—but they also introduce serious risks: bias, lack of transparency, privacy breaches, and regulatory exposure. AI governance refers to the structures, processes, and policies that ensure AI is developed and used responsibly, ethically, and in line with laws and stak

Governments are waking up to the risks of powerful AI, but most preparations still assume AI behaves like software that sometimes fails, not like an actor that could strategically resist control. The United Kingdom [1]  has built state-backed evaluation capacity through its AI Safety Institute and is now incorporating frontier AI into national security resilience planning. European Union [2]  law now mandates serious incident reporting, logging and human oversight for high-ri