On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good? - Jakob Mökander (CoRR, 2021)

Ethics-Based Auditing to Develop Trustworthy AI. - Jakob Mökander; Luciano Floridi (Minds Mach., 2021)

Ethics as a Service: A Pragmatic Operationalisation of AI Ethics. - Jessica Morley; Anat Elhalal; Francesca Garcia; Libby Kinsey; Jakob Mökander; Luciano Floridi (Minds Mach., 2021)

Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations. - Jakob Mökander; Jessica Morley; Mariarosaria Taddeo; Luciano Floridi (Sci. Eng. Ethics, 2021)

Models for Classifying AI Systems: the Switch, the Ladder, and the Matrix. - Jakob Mökander; Margi Sheth; David S. Watson; Luciano Floridi (FAccT, 2022)

AI and social theory. - Jakob Mökander; Ralph Schroeder (AI Soc., 2022)

Challenges and best practices in corporate AI governance: Lessons from the biopharmaceutical industry. - Jakob Mökander; Margi Sheth; Mimmi Gersbro-Sundler; Peder Blomgren; Luciano Floridi (Frontiers Comput. Sci., 2022)

Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation. - Jakob Mökander; Maria Axente; Federico Casolari; Luciano Floridi (Minds Mach., 2022)

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other? - Jakob Mökander; Prathm Juneja; David S. Watson; Luciano Floridi (Minds Mach., 2022)

From algorithmic accountability to digital governance. - Jakob Mökander; Luciano Floridi (Nat. Mach. Intell., 2022)

The EU AI Liability Directive (AILD): Bridging Information Gaps. - Marta Ziosi; Jakob Mökander; Claudio Novelli; Federico Casolari; Mariarosaria Taddeo; Luciano Floridi (Eur. J. Law Technol., 2023)

Ethics-based auditing of automated decision-making systems: intervention points and policy implications. - Jakob Mökander; Maria Axente (AI Soc., 2023)

The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. - Jakob Mökander; Margi Sheth; David S. Watson; Luciano Floridi (Minds Mach., 2023)

Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. - Jakob Mökander; Margi Sheth; David S. Watson; Luciano Floridi (Minds Mach., 2023)

Operationalising AI governance through ethics-based auditing: an industry case study. - Jakob Mökander; Luciano Floridi (AI Ethics, 2023)

Correction: Operationalising AI governance through ethics-based auditing: an industry case study. - Jakob Mökander; Luciano Floridi (AI Ethics, 2023)

Auditing of AI: Legal, Ethical and Technical Approaches. - Jakob Mökander (Digit. Soc., 2023)

Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization. - Jakob Mökander; Ralph Schroeder (CoRR, 2024)

A Blueprint for Auditing Generative AI. - Jakob Mökander; Justin Curl; Mihir Kshirsagar (CoRR, 2024)

Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry. - Jakob Mökander; Margi Sheth; Mimmi Gersbro-Sundler; Peder Blomgren; Luciano Floridi (CoRR, 2024)

Auditing large language models: a three-layered approach. - Jakob Mökander; Jonas Schuett; Hannah Rose Kirk; Luciano Floridi (AI Ethics, 2024)

The case for a broader approach to AI assurance: addressing "hidden" harms in the development of artificial intelligence. - Christopher Thomas 009; Huw Roberts; Jakob Mökander; Andreas Tsamados; Mariarosaria Taddeo; Luciano Floridi (AI Soc., 2025)

Correction: The case for a broader approach to AI assurance: addressing "hidden" harms in the development of artificial intelligence. - Christopher Thomas 009; Huw Roberts; Jakob Mökander; Andreas Tsamados; Mariarosaria Taddeo; Luciano Floridi (AI Soc., 2025)

Competing narratives in AI ethics: a defense of sociotechnical pragmatism. - David S. Watson; Jakob Mökander; Luciano Floridi (AI Soc., 2025)