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Sunnie S. Y. Kim

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#artificial intelligence Preprint Oct 2026

Babysitting AI Agents: A User-Centered Taxonomy and Study of Agentic Delegation Failures

Users are increasingly delegating tasks to AI agents, allowing agents to perform long-running, multi-step workflows on their behalf. However, agents may perform these tasks in ways that depart from users'expectations for how they should be carried out, leading to what we call agentic delegation failures. We leverage a...

Shravika Mittal, Sunnie S. Y. Kim, Scott Counts et al. · 0 citations

Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026

A randomized experiment and an anonymous post-survey at ICML 2026 investigate how reviewers use LLM-use policies in practice and how different LLM-use policies affect review outcomes, and discusses implications for future peer-review policy and tool design.

Sunnie S. Y. Kim, W. Deng, Jennifer Wortman Vaughan et al. · 1 citation

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