The relationship between AI, ethics, societal values and standardization is complex. The contributors to this volume discuss the challenges and opportunities involved in standardizing AI ethics, including algorithmic audits, stakeholder participation and certification mechanisms. They offer a comprehensive and interdisciplinary approach to AI ethics governance, covering topics such as auditing auditors, deceptive robots, HR perspectives on AI in job hiring, and how existing citizen infrastructures can inform standardization processes for ethical AI applications.

The relationship between AI, ethics, societal values and standardization is complex. The contributors to this volume discuss the challenges and opportunities involved in standardizing AI ethics, including algorithmic audits, stakeholder participation and certification mechanisms. They offer a comprehensive and interdisciplinary approach to AI ethics governance, covering topics such as auditing auditors, deceptive robots, HR perspectives on AI in job hiring, and how existing citizen infrastructures can inform standardization processes for ethical AI applications.