260 citations · 1.1k across the 13 of their papers we have counts for
8 papers · 1 filter
Auditing of AI: Legal, Ethical and Technical Approaches
Jakob Mokander
AI auditing is a rapidly growing field of research and practice. This review article, which doubles as an editorial to Digital Societys topical collection on Auditing of AI, provid…
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other?
Jakob Mokander, Prathm Juneja, David Watson +1
On the whole, the U.S. Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still…
AI and Social Theory
Jakob Mokander, Ralph Schroeder
In this paper, we sketch a programme for AI driven social theory. We begin by defining what we mean by artificial intelligence (AI) in this context. We then lay out our model for h…
Operationalising AI governance through ethics-based auditing: An industry case study
Jakob Mokander, Luciano Floridi
Ethics based auditing (EBA) is a structured process whereby an entitys past or present behaviour is assessed for consistency with moral principles or norms. Recently, EBA has attra…
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
Jakob Mokander, Margi Sheth, David Watson +1
Organisations that design and deploy artificial intelligence (AI) systems increasingly commit themselves to high-level, ethical principles. However, there still exists a gap betwee…
Challenges and Best Practices in Corporate AI Governance:Lessons from the Biopharmaceutical Industry
Jakob Mökander, Margi Sheth, Mimmi Gersbro-Sundler +2
While the use of artificial intelligence (AI) systems promises to bring significant economic and social benefits, it is also coupled with ethical, legal, and technical challenges.…
A Blueprint for Auditing Generative AI
Jakob Mokander, Justin Curl, Mihir Kshirsagar
The widespread use of generative AI systems is coupled with significant ethical and social challenges. As a result, policymakers, academic researchers, and social advocacy groups h…
Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization
Jakob Mokander, Ralph Schroeder
The use of artificial intelligence (AI) in the public sector is best understood as a continuation and intensification of long standing rationalization and bureaucratization process…