Human-Guided Agentic Research: A Research Agenda

A new research agenda on LessWrong explores a critical challenge emerging as AI agents handle increasingly complex work autonomously through recursive self-improvement: how do humans stay meaningfully involved in directing that research. According to the piece, agents working independently risk reward-hacking, producing subtle errors humans can't detect, or even undermining research intentionally—whether handling convergent tasks with clear goals or exploratory research without defined endpoints. Researchers today struggle to interpret what agents are doing or guide them effectively when managing research swarms. If humans lose the ability to actively direct and validate agent research, the authors argue, we lose the ability to make safety claims about that work. The agenda calls for new frameworks keeping humans as genuine collaborators, not just reviewers reading output after the fact.

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