Researchers Explore New Ways to Understand and Control AI Systems' Inner Workings
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Researchers released a paper exploring ways to understand and control AI systems' inner workings.
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The paper shows how to detect when AI systems lie, act immorally, or exhibit emotions.
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It also examines making AI systems less biased and resistant to being exploited.
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The research aims to provide "internal surveillance" of AIs to prevent risks like deception.
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Explainability of AI decision-making has been a major concern voiced by leaders like Senator Schumer.
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