SOURCE-LINKED INTELLIGENCE
CAVEAT: Towards Robust Computer-Use Agents in Incentive-Misaligned Environments
Computer-use agents (CUAs) increasingly act on behalf of users online. What happens when the environments they operate in have incentives that do not align with the user's? In online marketplaces, for example, platforms may favor some products over others, potentially steering agents away from the user's objective. Existing CUA benchmarks cover cooperative settings or explicit attacks, but do not test whether agents preserve user objectives when the environment itself has a stake in the outcome. We introduce CAVEAT, a controlled benchmark spanning nine marketplace environments and a taxonomy o
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T03:00:00.000Z
First collected: 2026-09-24T01:22:21.678Z. This is not the publication date.