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Responsible AI Adoption Through Private-Sector Governance

In: Responsible Artificial Intelligence

Author

Listed:
  • Sabine Wiesmüller

    (Zeppelin University)

  • Nele Fischer

    (Berlin Ethics Lab)

  • Wenzel Mehnert

    (Berlin University of the Arts)

  • Sabine Ammon

    (TU Berlin)

Abstract

This contribution examines responsible artificial intelligence (AI) adoption in organisations from a private-sector AI governance perspective. Since an increasing number of organisations adopt AI, society interacts with the technologies more frequently due to higher exposure to AI applications. Consequently, companies are confronted with society’s demand to integrate ethical reflections and the perspectives of diverse stakeholders into their decision-making processes. With this, the need for responsible AI adoption rises, too. Yet, neither existing innovation processes nor AI development models address the adoption and development phases entailed in AI lifecycles regarding iterative ethical reflections from a management perspective. Thus, to contribute to filling this research gap, this chapter firstly highlights the need and current lack of systematically integrating ethical reflection in AI adoption processes. Secondly, it proposes a governance model as a first starting point for developing an instrument for responsible AI adoption in organisations, supporting corporate social responsibility in this regard.

Suggested Citation

  • Sabine Wiesmüller & Nele Fischer & Wenzel Mehnert & Sabine Ammon, 2023. "Responsible AI Adoption Through Private-Sector Governance," CSR, Sustainability, Ethics & Governance, in: René Schmidpeter & Reinhard Altenburger (ed.), Responsible Artificial Intelligence, pages 111-132, Springer.
    • Handle: RePEc:spr:csrchp:978-3-031-09245-9_5
    DOI: 10.1007/978-3-031-09245-9_5
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