Jakob Mökander

Orcid: 0000-0002-8691-2582

According to our database1, Jakob Mökander authored at least 21 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Auditing large language models: a three-layered approach.
AI Ethics, November, 2024

Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry.
CoRR, 2024

A Blueprint for Auditing Generative AI.
CoRR, 2024

Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization.
CoRR, 2024

2023
Auditing of AI: Legal, Ethical and Technical Approaches.
Digit. Soc., December, 2023

Correction: Operationalising AI governance through ethics-based auditing: an industry case study.
AI Ethics, May, 2023

Operationalising AI governance through ethics-based auditing: an industry case study.
AI Ethics, May, 2023

Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems.
Minds Mach., March, 2023

The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems.
Minds Mach., March, 2023

Ethics-based auditing of automated decision-making systems: intervention points and policy implications.
AI Soc., February, 2023

The EU AI Liability Directive (AILD): Bridging Information Gaps.
Eur. J. Law Technol., 2023

2022
From algorithmic accountability to digital governance.
Nat. Mach. Intell., 2022

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?
Minds Mach., 2022

Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation.
Minds Mach., 2022

Challenges and best practices in corporate AI governance: Lessons from the biopharmaceutical industry.
Frontiers Comput. Sci., 2022

AI and social theory.
AI Soc., 2022

Models for Classifying AI Systems: the Switch, the Ladder, and the Matrix.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations.
Sci. Eng. Ethics, 2021

Ethics as a Service: A Pragmatic Operationalisation of AI Ethics.
Minds Mach., 2021

Ethics-Based Auditing to Develop Trustworthy AI.
Minds Mach., 2021

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


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