Human-in-the-loop Workflows

Human-In-The-Loop Workflows is a workflow design paradigm in which human agents are intentionally integrated into the execution and decision-making processes of automated systems to enhance accuracy, adaptability, and contextual understanding, distinguishing it from fully automated or manual workflow approaches.

75

Publications

3.6K

Citations

290

Authors

121

Institutions

Publications per year

2017–2026

43

Variants

Hitl Workflows

Authors

290

  1. DS
    Daniel S. Weld

    University of Washington, United States

    4 publications · 245 citations

    4

    h-index

  2. MM
    Mausam Mausam

    University of Washington, United States

    4 publications · 245 citations

    4

    h-index

  3. DX
    Doris Xin

    University of California, Berkeley, United States

    3 publications · 187 citations

    3

    h-index

  4. PD
    Peng Dai

    Google (United States), United States

    3 publications · 203 citations

    3

    h-index

  5. SM
    Stephen Macke

    University of Illinois Urbana-Champaign, United States

    3 publications · 187 citations

    3

    h-index

1–5 of 290

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 105 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 223 citations

    3

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 187 citations

    2

    h-index

  4. IEEE Intelligent Systems

    2 publications · 242 citations

    2

    h-index

  5. Communications of the ACM

    1 publications · 70 citations

    1

    h-index

1–5