Description

This thesis seeks to investigate the use of Artificial Intelligence when reviewing STEM job applications and the human biases that are present in AI system training datasets. Further, it proposes to gender neutralize training dataset terms to evaluate job applications

This thesis seeks to investigate the use of Artificial Intelligence when reviewing STEM job applications and the human biases that are present in AI system training datasets. Further, it proposes to gender neutralize training dataset terms to evaluate job applications based on merit and qualifications, promoting the inclusivity of women in STEM jobs and seeking to eliminate job application system bias from a Utilitarian perspective.

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    Details

    Title
    • The Ethical Implications of Artificial Intelligence from a Utilitarian Perspective
    Contributors
    Date Created
    2023-05
    Resource Type
  • Text
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