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Apple tests if AI assistants can anticipate the consequences of in-app actions
A new study co-authored by Apple looks into how well AI agents really understand the consequences of their actions.
The premise of the study is that most datasets for training UI agents today are composed of relatively harmless stuff: browsing a feed, opening an app, scrolling through options. In the study, recruited participants were tasked with using real mobile apps and recording actions that would make them feel uncomfortable if triggered by an AI without their permission. The result was a framework that helps researchers evaluate whether models consider things like: “Can this be undone in one tap?” “Does it alert someone else?” “Does it leave a trace?”, and take that into account before acting on the user’s behalf.
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