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Humanities-Centered AI: From Machine Learning to Machine Training

Ralf Möller*

*Corresponding author for this work

Abstract

In the essay it is argued that machine learning controlled by IT specialists must be replaced with machine training, such that domain experts, e.g., humanities scholars. Furthermore, it is argued that training a machine for a particular task must have a positive impact also on related but different tasks. Only then, one can speak of "true learning"or machine education, an area that is investigated in the emerging field of Humanities-Centred Artificial Intelligence.

Original languageEnglish
Title of host publicationHumanities-Centred Artificial Intelligence, CHAI 2021 : CEUR Workshop Proceedings
Volume3093
Publication date2021
Pages40-44
Publication statusPublished - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  5. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  6. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  7. SDG 15 - Life on Land
    SDG 15 Life on Land

Research Areas and Centers

  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)
  • Research Area: Intelligent Systems

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