Freedom at Work: Understanding, Alienation, and the AI-Driven Workplace

Abstract This paper explores a neglected normative dimension of algorithmic opacity in the workplace and the labor market. It argues that explanations of algorithms and algorithmic decisions are of noninstrumental value. That is because explanations of the structure and function of parts of the social world form the basis for reflective clarification of our practical orientation toward the institutions that play a central role in our life. Using this account of the noninstrumental value of explanations, the paper diagnoses distinctive normative defects in the workplace and economic institutions which a reliance on AI can encourage, and which lead to alienation.

• Publication year

  2022

• Venue

  Canadian Journal of Philosophy

• Publication date

  2022-01-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1017/can.2021.39
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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