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Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
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Operationalising AI governance through ethics-based auditing: an industry case study.

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  • 1Oxford Internet Institute, University of Oxford, 1 St Giles', Oxford, OX1 3JS UK.

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This summary is machine-generated.

Ethics-based auditing (EBA) helps align AI ethics principles with practice. A 12-month case study at AstraZeneca revealed that EBA

Keywords:
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Area of Science:

  • AI Ethics and Governance
  • Organizational Auditing
  • Corporate Social Responsibility

Background:

  • Ethics-based auditing (EBA) is increasingly recognized as a governance mechanism to bridge the gap between AI ethics principles and practical implementation.
  • Existing research on EBA primarily focuses on evaluation metrics and visualization techniques, with limited empirical evidence on the feasibility and effectiveness of auditing procedures.
  • The application of EBA in large multinational organizations, particularly within the biopharmaceutical sector, requires further investigation.

Purpose of the Study:

  • To address the knowledge gap regarding the empirical aspects of ethics-based auditing (EBA) in artificial intelligence (AI).
  • To provide insights into the practical challenges and organizational dynamics of conducting an EBA within a large multinational corporation.
  • To analyze the feasibility and effectiveness of EBA procedures in a real-world industry setting.

Main Methods:

  • A longitudinal case study design was employed over a 12-month period.
  • Observation and analysis of internal activities within AstraZeneca, a biopharmaceutical company, during preparation for and execution of an ethics-based AI audit.
  • Qualitative data collection and analysis focusing on organizational processes and challenges encountered during the EBA.

Main Results:

  • The primary challenges encountered in conducting EBA within a large organization mirror traditional governance issues.
  • Key difficulties include harmonizing standards across decentralized structures, defining audit scope, managing internal communication and change, and measuring tangible outcomes.
  • The study highlights that the integration of EBA procedures into the existing organizational context is crucial for their feasibility and effectiveness.

Conclusions:

  • Implementing ethics-based auditing (EBA) in AI requires addressing fundamental governance challenges common to large, complex organizations.
  • Successful EBA integration depends on effective change management, clear communication, and standardized procedures across decentralized units.
  • This case study underscores the importance of organizational context in the practical application and success of AI ethics auditing.