Making Sense of AI Ethics and Governance Investments

As organisations rapidly adopt artificial intelligence (AI), they encounter a host of complex ethical challenges. These challenges are made even more difficult by the nature of AI itself: it is not a static or uniform technology but rather an evolving ecosystem of tools and systems that interact dynamically with their environments. Managers are under increasing pressure to address these challenges and justify governance investments, while established frameworks for responsible AI governance are still emerging. The central question of thew paper, then, is how managers make sense of these evolving ethical challenges. One productive way to explore this - that we also adopt in this paper - is drawing parallels with the field of Corporate Social Responsibility (CSR). Like AI governance, CSR also involves responding to ambiguous expectations and CSR research provides valuable insights into how organizations engage in "sensemaking" (a process of interpreting and giving meaning to complex situations in order to guide decisions and justify actions). In CSR literature, two dominant forms of sensemaking are identified: "value-driven" and "instrumental". The value-driven approach is rooted in ethical principles and moral commitments; the instrumental approach treats governance as a strategic tool, aligning ethical practices with business goals. Drawing from this conceptual framework, the paper presents a study of managers from diverse sectors to explore how they make sense of AI ethics and governance. The analysis reveals that AI governance sensemaking similarly falls into these two categories, value-driven and instrumental, but importantly, neither approach is sufficient on its own. Instead, our qualitative study finds that managers should blend these two approaches into what we describe as a "holistic sensemaking strategy". By adopting a holistic framework that integrates both perspectives, managers are better equipped to navigate the evolving and ambiguous terrain of AI governance, thus making investments in governance that are both principled and practical.

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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2025-10-15
DOI
https://doi.org/10.1609/aies.v8i1.36559
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Making Sense of AI Ethics and Governance Investments

Nicholas Berente, Marianna Bergamaschi Ganapini, Francesca Maria Rossi, Brian Goehring et al.
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Ethics and Social Impacts of AI
article

Making Sense of AI Ethics and Governance Investments

Nicholas Berente, Marianna Bergamaschi Ganapini, Francesca Maria Rossi, Brian Goehring, Marialena Bevilacqua
article en

Abstract

As organisations rapidly adopt artificial intelligence (AI), they encounter a host of complex ethical challenges. These challenges are made even more difficult by the nature of AI itself: it is not a static or uniform technology but rather an evolving ecosystem of tools and systems that interact dynamically with their environments. Managers are under increasing pressure to address these challenges and justify governance investments, while established frameworks for responsible AI governance are still emerging. The central question of thew paper, then, is how managers make sense of these evolving ethical challenges. One productive way to explore this - that we also adopt in this paper - is drawing parallels with the field of Corporate Social Responsibility (CSR). Like AI governance, CSR also involves responding to ambiguous expectations and CSR research provides valuable insights into how organizations engage in "sensemaking" (a process of interpreting and giving meaning to complex situations in order to guide decisions and justify actions). In CSR literature, two dominant forms of sensemaking are identified: "value-driven" and "instrumental". The value-driven approach is rooted in ethical principles and moral commitments; the instrumental approach treats governance as a strategic tool, aligning ethical practices with business goals. Drawing from this conceptual framework, the paper presents a study of managers from diverse sectors to explore how they make sense of AI ethics and governance. The analysis reveals that AI governance sensemaking similarly falls into these two categories, value-driven and instrumental, but importantly, neither approach is sufficient on its own. Instead, our qualitative study finds that managers should blend these two approaches into what we describe as a "holistic sensemaking strategy". By adopting a holistic framework that integrates both perspectives, managers are better equipped to navigate the evolving and ambiguous terrain of AI governance, thus making investments in governance that are both principled and practical.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 8(1)
University of North Carolina at Charlotte (US), University of Notre Dame (US), IBM (United States) (US), IBM Research - Thomas J. Watson Research Center (US)
Openalex Percentile: Top 71%
Ethics and Social Impacts of AI
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