Can We Build AI That Does Not Harm Queer People?

This article examines the harmful information generated by artificial intelligence (AI) regarding aspects of the queer community with a focus on what can be done by computer scientists to prevent this problem. First, specific examples are detailed with a look at how they occur then a case study is p...

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Publicado en:Communications of the ACM Vol. 68; no. 5; pp. 21 - 24
Autor principal: Weber, Sabine
Formato: Opinion
Publicado: Association for Computing Machinery May2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Can We Build AI That Does Not Harm Queer People?
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        au: Weber, Sabine
        affil: Otto-Friedrich-Universität Bamberg, Foundations of Natural Language Processing, Bamberg, Bavaria, Germany
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        LGBTQ+ communities
        Artificial intelligence
        Machine learning
        Computer science education
        Employee training
        Computer programmers
        Language models
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          LGBTQ+ communities
          Artificial intelligence
          Machine learning
          Computer science education
          Employee training
          Computer programmers
          Language models
      ab: This article examines the harmful information generated by artificial intelligence (AI) regarding aspects of the queer community with a focus on what can be done by computer scientists to prevent this problem. First, specific examples are detailed with a look at how they occur then a case study is presented. A fictitious software company’s text-to-image system and how software developers can work to overcome harm with direct and indirect methods is the focus on the case study.
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    language: English
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