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Evan Hubinger – Alignment Stress-Testing at Anthropic [Alignment Workshop] Analytics Table

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“We purposely build or discover situations where models might be behaving in misaligned ways” Evan Hubinger shares “Alignment Stress-Testing at @Anthropic,” focusing on two main roles: conducting internal reviews under the Responsible Scaling Policy and using “model organisms” to test AI misalignment risks. These model AIs act as test cases for detecting safety gaps, either validating alignment approaches or exposing real-world risks for proactive intervention. Highlights: 🔹 Responsible Scaling Policy - Framework for internal model reviews to mitigate risk. 🔹 Model Organisms - Testing AI in controlled misaligned scenarios to examine potential failures. 🔹 Misalignment Studies - Example: sleeper agents simulating deceptive behavior against safeguards. 🔹 Real-World Risk Evidence - Model organisms provide concrete risk cases to guide safety measures. The Alignment Workshop is a series of events convening top ML researchers from industry and academia, along with experts in the government and nonprofit sectors, to discuss and debate topics related to AI alignment. The goal is to enable researchers and policymakers to better understand potential risks from advanced AI, and strategies for solving them. If you are interested in attending future workshops, please fill out the following expression of interest form to get notified about future events: https://far.ai/futures-eoi Find more talks on this YouTube channel, and at https://www.alignment-workshop.com/ #AlignmentWorkshop

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