Alignment Problem

The "Alignment Problem" is a theoretical framework within the philosophy of artificial intelligence that specifies the challenge of ensuring advanced artificial agents act in accordance with human intentions, values, and ethical principles, distinguishing it from related technical control problems by its focus on normative and meta-ethical coherence in agent objectives.

292

Publications

20.8K

Citations

835

Authors

373

Institutions

Publications per year

2017–2026

105

Variants

Ai Alignment Problem

Authors

835

  1. DH
    Dylan Hadfield-Menell

    University of California, Berkeley, United States

    4 publications · 532 citations

    4

    h-index

  2. TK
    Tamer Kahveci

    University of Florida, United States

    4 publications · 73 citations

    4

    h-index

  3. PF
    Pascal Frossard

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 88 citations

    4

    h-index

  4. HN
    Hermann Ney

    RWTH Aachen University, Germany

    4 publications · 1.1K citations

    4

    h-index

  5. FA
    Ferhat Ay

    La Jolla Institute for Immunology, United States

    3 publications · 63 citations

    3

    h-index

1–5 of 835

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 734 citations

    11

    h-index

  2. Bioinformatics

    11 publications · 622 citations

    10

    h-index

  3. 4

    h-index

  4. Journal of Computational Biology

    4 publications · 204 citations

    4

    h-index

  5. IEEE Transactions on Image Processing

    4 publications · 185 citations

    4

    h-index

1–5