Collaborate Disseminate
The commission is mulling whether to begin regulating bias in AI systems. Critics say they’re overstepping their legal authority and infringing on free speech.
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The company rolled out “Red” and “Blue” programs for defenders, introduced a new model and announced partnerships with 16 major cybersecurity vendors.
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Research finds your AI generated security patch is more likely to fail than fully fix a vulnerability. It might even introduce brand new flaws to exploit along the way.
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AI chatbots are avoiding some of the obvious errors that plagued earlier models, but they still fall short giving voters the full picture compared to state and local sources.
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Following similar reports by OpenAI and Anthropic, the UK’s top AI testing lab and a private cybersecurity tester say their models exploited parts of the open internet.
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Headlined by the Kids Online Safety Act, a key committee will look to clear major legislation governing how minors interact with the internet.
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Other signatories of the letter include Meta, Palantir, Perplexity, Mistral, NVIDIA, Mozilla, The Linux Foundation, Hugging Face, Dell Technologies and IBM.
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While distillation attacks by foreign governments and companies have real national security implications, questions around who ultimately owns the data in AI systems are fraught.
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At the time, Hugging Face said it wasn’t clear which LLM was used in the attack. OpenAI confirmed it was one of their models being tested for “maximal” cyber capabilities.
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New research from the UK shows how nearly every model tested tried to cheat, scam or cut corners on its way to solving problems.
The post AI models keep getting caught cheating appeared first on CyberScoop.