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.

About the Authors

Nicholas Kluge Corr�a is a postdoc researcher at Universit�t Bonn. He received his PhD in philosophy (AI ethics) from the Pontifical Catholic University of Rio Grande do Sul (PUC-RS, Brazil) and Universit�t Bonn. He holds a master's degree in electrical engineering. His thesis “Dynamic Normativity: Necessary and Sufficient Conditions for Value Alignment”, was awarded the Capes Doctoral Thesis Award 2025 by the Brazilian government. His main areas of research are AI ethics, AI safety, and AI alignment.

Julia Maria M�nig (Dr. phil.) ist Philosophin und Projektleiterin des philosophischen Teils des KI.NRW-Leitprojekts �Zertifizierte KI�. Sie forschte an der Hochschule der Medien Stuttgart zu ethischen Fragen des autonomen Fahrens. Nach ihrer Promotion in Philosophie an der Universit�t Passau untersuchte sie an der Vrijen Universiteit Brussel Luxusaspekte des Privaten. Ihre Forschungsschwerpunkte sind Hannah Arendt, Privatheitsforschung, Technikethik, Exilforschung, Bildungs- und Erziehungsphilosophie sowie politische Philosophie.

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