10 articles tagged with Ai Policy
OpenAI floated giving the US government a 5 percent stake worth about $42.6B, modeled on Alaska's oil fund. What happens when the AI regulator also becomes an owner?
Newly released court emails between Dario Amodei and the Pentagon reveal the real fight — whether an AI lab can contractually refuse the state. The precedent will bind every vendor.
On July 1 the UN and ITU launched the AI for Good Global Commission — the first global body to seat frontier-lab CEOs as members. A look at velocity, legitimacy, and the capture question.
EO 14409 created a voluntary federal regime for frontier models with advanced cyber capabilities. What the covered-model designation and 30-day access window mean for AI labs.
Heretic, abliteration, and a year of community tooling have settled the open-weight safety question. Refusal layers are removable in minutes on a laptop, and the deployment math for enterprises, regulators, and frontier labs has to change.
The UK government abandons its AI training data opt-out model after 90 percent of 11,500 respondents rejected it, pivoting to transparency obligations and market-driven licensing. This analysis covers what the decision means for AI companies, creators, and the global regulatory landscape from the EU AI Act to pending US court rulings.
Anthropic and OpenAI-backed PACs have committed over $145 million to opposing sides of the AI regulation debate for the 2026 midterms. This analysis covers the donors, the candidates, the philosophical divide, and what it means.
OpenAI's October 29th policy restricting legal, medical, and financial advice has ignited controversy among paying customers who now get less for the same $20/month. We analyze the fairness debate, enforcement gaps, enterprise impact, and what this signals for AI regulation in 2025.
As AI regulations mature and enterprise adoption accelerates, Q4 2025 presents critical inflection points for VP-level leaders. Navigate EU AI Act enforcement, emerging US frameworks, and shifting market dynamics.
After leading AI governance implementations across Fortune 500 regulated industries, I've learned that successful VPs don't just deploy AI—they architect governance frameworks that scale with evolving compliance demands.