US EditionTowards Interactive Evaluations for Interaction Harms in Human-AI Systems
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Towards Interactive Evaluations for Interaction Harms in Human-AI Systems
Abstract Current AI evaluation paradigms that rely on static, model-only tests fail to capture harms that emerge through sustained human-AI interaction. As interactive AI systems, such as AI companions, proliferate, this mismatch between evaluation methods and real-world use becomes increasingly consequential. In this work, we propose a paradigm shift towards evaluation centered on interactional ethics, which addresses interaction harms like inap
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