In recent weeks, there have been urgent warnings about the risks of rapid developments in artificial intelligence (AI). The current obsession is with large language models (LLMs) such as GPT-4, the generative AI system that Microsoft has incorporated into its Bing search engine. However, despite all the concerns about LLMs hallucinating and trying to break up marriages (the former quite real, the latter more on the amusing side), little has been written lately about the vulnerability of many AI-based systems to adversarial attack. A new Stanford and Georgetown report offers stark reminders that the security risks for AI-based systems are real. Moreover, the report—which I signed, along with 16 others from policy research, law, industry, and government—recommends immediately achievable actions that developers and policymakers can take to address the issue. Read More

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