AI news for: Ai Ethics
Explore AI news and udpates focusing on Ai Ethics for the last 7 days.
Meta launches super PAC to fight AI regulation as state policies mount
Meta is investing 'tens of millions' into a new pro-AI super PAC called the American Technology Excellence Project to fight state-level tech policy th...
Scott Wiener on his fight to make Big Tech disclose AI’s dangers
The California lawmaker is on his second attempt to pass a first-in-the-nation AI safety bill. This time, it might work....
TL;DR
California State Senator Scott Wiener has reintroduced AI safety bill SB 53, focusing on transparency and safety reporting requirements for large AI labs.
Key Takeaways:
Key Takeaways:
- SB 53 requires leading AI labs to publish safety reports for their most capable AI models, similar to voluntary reports from many labs, but with consistency and transparency.
- The bill creates protected channels for employees to report safety concerns and establishes a state-operated cloud computing cluster to provide AI research resources beyond Big Tech companies.
- Governor Newsom is considering the bill, which has gained significant support from Anthropic and is less severe than the previous SB 1047, amid ongoing concerns about AI regulation and federal vs. state oversight.
Meta Ramps Up Spending on A.I. Politics With New Super PAC - The New York Times
Meta Ramps Up Spending on A.I. Politics With New Super PAC The New York TimesExclusive: Meta launches super PAC to fight AI regulation AxiosMeta Creat...
TL;DR
Meta pledged tens of millions of dollars through a new super PAC to fight state politicians that it sees as insufficiently supportive of the artificial intelligence industry.
Key Takeaways:
Key Takeaways:
- Meta has unveiled a new super PAC, the American Technology Excellence Project, to back state politicians supporting the AI industry.
- Meta's new super PACs will likely make the company one of the largest spenders in the 2026 midterm elections.
- Over 1,100 A.I. bills have been proposed across nearly all 50 states this year, with the most in New York, New Jersey, Texas, and California.
DeepMind AI safety report explores the perils of “misaligned” AI - Ars Technica
DeepMind AI safety report explores the perils of “misaligned” AI Ars TechnicaGoogle AI risk document spotlights risk of models resisting shutdown Axio...
TL;DR
DeepMind releases version 3.0 of its AI Frontier Safety Framework to explore risks of misaligned AI and provide guidance for developers to mitigate potential threats.
Key Takeaways:
Key Takeaways:
- DeepMind's AI safety framework identifies critical capability levels (CCLs) that measure an AI model's capabilities and define the point at which its behavior becomes dangerous.
- Developers should take precautions to ensure model security, including proper safeguarding of model weights and using automated monitors to combat potential misalignment or deception.
- The risk of a misaligned AI that can ignore human instructions or produce fraudulent outputs is becoming a concern, with DeepMind researchers acknowledging that it may be difficult to monitor for this behavior in the future.
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