AI, Trump and action plan
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Cryptopolitan on MSNWhite House to cut AI funds for states with “burdensome” regulationsThe White House’s new AI Action Plan would block federal dollars from states that impose heavy‑handed rules on artificial intelligence, the administration said.
Despite the Senate’s July 1 vote to protect states’ rights to keep residents safe, a moratorium is expected to once again rear its ugly head.
The Trump administration on Wednesday unveiled its AI action plan, a package of initiatives and policy recommendations meant to cement the United States as a global leader in a technology that’s expected to be as influential as the internet itself.
A federal proposal that would ban states and local governments from regulating AI for 10 years could soon be signed into law, as Sen. Ted Cruz (R-TX) and other lawmakers work to secure its inclusion into a GOP megabill ahead of a key July 4 deadline.
AI regulation is critical, but it can easily do much more harm than good. This is why it’s important for there to be a thoughtful approach that focuses on finding the right balance between ...
Many policy discussions on AI safety regulation have focused on the need to establish regulatory "guardrails" to protect the public from the risks of AI technology. In a new paper published in the ...
AI companies say they’re actually looking forward to government regulation in the form of a new safety consortium Many are already doing work similar to what NIST is intended to accomplish, founders note — so collaboration could help get everyone on the same page.
OpenAI signs the EU AI Code while Meta rejects it revealing divergent strategies on regulation, market expansion, and the future of global AI governance.
AI crucially depends on large volumes of high-quality data. Model accuracy and outcomes directly reflect the data it was trained on. Hence, data regulation is central to AI regulation. AI likely magnifies data privacy concerns. The United States has no national data privacy law; the EU builds on GDPR.
Artificial intelligence (AI) in health care is rapidly advancing beyond traditional applications. Autonomous AI agents are gaining significant attention for their potential to fundamentally transform medicine.