Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations von Mökander, Jakob, Morley, Jessica, Taddeo, Mariarosaria, Floridi, Luciano

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Artificial Intelligence, Rationalization, and the Limits of Control in the Public Sector: The Case of Tax Policy Optimization von Mökander, Jakob, Schroeder, Ralph

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Ethics as a Service: A Pragmatic Operationalisation of AI Ethics von Morley, Jessica, Elhalal, Anat, Garcia, Francesca, Kinsey, Libby, Mökander, Jakob, Floridi, Luciano

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Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation von Mökander, Jakob, Axente, Maria, Casolari, Federico, Floridi, Luciano

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Ethics-based auditing of automated decision-making systems: intervention points and policy implications von Mökander, Jakob, Axente, Maria

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

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AI and social theory von Mökander, Jakob, Schroeder, Ralph

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From algorithmic accountability to digital governance von Mökander, Jakob, Floridi, Luciano

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Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems von Mökander, Jakob, Sheth, Margi, Watson, David S., Floridi, Luciano

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Challenges and best practices in corporate AI governance: Lessons from the biopharmaceutical industry von Mökander, Jakob, Sheth, Margi, Gersbro-Sundler, Mimmi, Blomgren, Peder, Floridi, Luciano

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Operationalising AI governance through ethics-based auditing: an industry case study von Mökander, Jakob, Floridi, Luciano

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Auditing large language models: a three-layered approach von Mökander, Jakob, Schuett, Jonas, Kirk, Hannah Rose, Floridi, Luciano

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The EU AI Liability Directive (AILD): Bridging Information Gaps von Ziosi, Marta, Mökander, Jakob, Novelli, Claudio, Casolari, Federico, Taddeo, Mariarosaria, Floridi, Luciano

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

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Auditing of AI: Legal, Ethical and Technical Approaches von Mokander, Jakob

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Auditing large language models: a three-layered approach von Mökander, Jakob, Schuett, Jonas, Hannah Rose Kirk, Floridi, Luciano

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On the Limits of Design: What Are the Conceptual Constraints on Designing Artificial Intelligence for Social Good? von Mokander, Jakob

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Operationalising AI governance through ethics-based auditing: An industry case study von Mokander, Jakob, Floridi, Luciano

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A Blueprint for Auditing Generative AI von Mokander, Jakob, Curl, Justin, Kshirsagar, Mihir

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Ethics-Based Auditing to Develop Trustworthy AI von Mokander, Jakob, Floridi, Luciano

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