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Artificial Intelligence and Human Rights: A Business Ethical Assessment

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  • KRIEBITZ, Alexander
  • LÃœTGE, Christoph

Abstract

Artificial intelligence (AI) has evolved as a disruptive technology, impacting a wide range of human rights-related issues ranging from discrimination to supply chain due diligence. Given the increasing human rights obligations of companies and the intensifying discourse on AI and human rights, we shed light on the responsibilities of corporate actors in terms of human rights standards in the context of developing and using AI. What implications do human rights obligations have for companies developing and using AI? In our article, we discuss firstly whether AI inherently conflicts with human rights and human autonomy. Next, we discuss how AI might be linked to the beneficence criterion of AI ethics and how AI might be applied in human rights-related areas. Finally, we elaborate on individual aspects of what it means to conform to human rights, addressing AI-specific problem areas.

Suggested Citation

  • KRIEBITZ, Alexander & LÃœTGE, Christoph, 2020. "Artificial Intelligence and Human Rights: A Business Ethical Assessment," Business and Human Rights Journal, Cambridge University Press, vol. 5(1), pages 84-104, January.
    • Handle: RePEc:cup:buhurj:v:5:y:2020:i:1:p:84-104_4
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    Cited by:

    1. Govindan, Kannan & Kannan, Devika & Jørgensen, Thomas Ballegård & Nielsen, Tim Straarup, 2022. "Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    2. Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
    3. Dmitry A. Ruban, 2022. "Analytical Review of Conjugation of the Ethical Bases of Artificial Intelligence Implementation and Ecologization in Corporate Governance," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 21(2), pages 390-418.

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