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The United Kingdom is ramping up its regulatory oversight of major technology platforms, with a sharp focus on ensuring ...
With hallucinating chatbots, deepfakes, and algorithmic accidents on the rise, AIUC says the solution to building safer models is pricing the risks.
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 ...
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AI execs used to beg for regulation. Not anymore. - MSNWidespread warnings about AI posing an “existential risk” to humanity and pleas from CEOs for speedy, preemptive regulation on the emerging technology are gone. Instead there is near-consensus ...
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, ...
AI Seoul Summit: 4 Key Takeaways on AI Safety Standards and Regulations Your email has been sent 1. Tech giants committed to publishing safety frameworks for their frontier AI models 2.
So how much is enough? How heavy-handed should regulation of AI be without hindering innovation? Many within the industry caution that it’s still too soon to decide the direction of guardrails.
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 ...
If Congress moves forward with establishing a federal AI safety agency, even with the best of intentions, it risks cementing Big Tech's dominance at the expense of startups.
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