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T05. Human review and approval workflows

Human-in-the-loop and approval research, including automation-induced complacency.

  1. T05-22Candidate approachSince 2025

    What You Approve Is What Executes: Consent Integrity for Black-Box LLM Agents

    Authors
    Xiaoqi Weng
    Year
    2026
    Venue
    arXiv 2026-06 1

    Korean review of T05-22

  2. T05-23Candidate approachSince 2025

    Oversight Has a Capacity: Calibrating Agent Guards to a Subjective, Fatiguing Human

    Authors
    Emre Turan
    Year
    2026
    Venue
    arXiv 2026-06 8

    Korean review of T05-23

  3. T05-24Candidate approach

    Deep reinforcement learning from human preferences

    Authors
    Paul Christiano, Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg, Dario Amodei
    Year
    2017
    Venue
    NIPS 2017 (Advances in Neural Information Processing Systems 30)

    Korean review of T05-24

  4. T05-25Candidate approach

    Human-in-the-loop machine learning: a state of the art

    Authors
    Eduardo Mosqueira-Rey, Elena Hernandez-Pereira, David Alonso-Rios, Jose Bobes-Bascaran, Angel Fernandez-Leal
    Year
    2023
    Venue
    Artificial Intelligence Review vol. 56 no. 4 3005-3054

    Korean review of T05-25

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