ArticleAI and ethics2023
Operationalising AI governance through ethics-based auditing: an industry case study.
Article in AI and ethics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Auditing clinical AI in oncology: Strengthening assurance frameworks and nursing leadership in the Asia-Pacific context.Asia-Pacific journal of oncology nursing · 2026Article
- Frontier AI developers need an internal audit function.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
- Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI.Journal of clinical medicine · 2025Article
- Simplifying software compliance: AI technologies in drafting technical documentation for the AI Act.Empirical software engineering · 2025Article
- Enhancing audit quality and reducing costs: the impact of AI in banking and financial services.Frontiers in artificial intelligence · 2025Article
- Defining responsible use of AI chatbots in social care for older adults.Nature aging · 2024Article
- Shaping new norms for AI.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Beyond ideals: why the (medical) AI industry needs to motivate behavioural change in line with fairness and transparency values, and how it can do it.AI & society · 2024Article
- Game-theoretic analysis of governance and corruption in China's pharmaceutical industry.Frontiers in medicine · 2024Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Ethics-based auditing (EBA) is a structured process whereby an entity's past or present behaviour is assessed for consistency with moral principles or norms. Recently, EBA has attracted much attention as a governance mechanism that may help to bridge the gap between principles and practice in AI ethics. However, important aspects of EBA-such as the feasibility and effectiveness of different auditing procedures-have yet to be substantiated by empirical research. In this article, we address this knowledge gap by providing insights from a longitudinal industry case study. Over 12 months, we observed and analysed the internal activities of AstraZeneca, a biopharmaceutical company, as it prepared for and underwent an ethics-based AI audit. While previous literature concerning EBA has focussed on proposing or analysing evaluation metrics or visualisation techniques, our findings suggest that the main difficulties large multinational organisations face when conducting EBA mirror classical governance challenges. These include ensuring harmonised standards across decentralised organisations, demarcating the scope of the audit, driving internal communication and change management, and measuring actual outcomes. The case study presented in this article contributes to the existing literature by providing a detailed description of the organisational context in which EBA procedures must be integrated to be feasible and effective.
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