activity
20212025
most citedEthics-Based Auditing to Develop Trustworthy AI

260 citations · 1.1k across the 13 of their papers we have counts for

collaborators

14 papers

cs.CY2025

Embodied AI: Emerging Risks and Opportunities for Policy Action

Jared Perlo, Alexander Robey, Fazl Barez +2

The field of embodied AI (EAI) is rapidly advancing. Unlike virtual AI, EAI systems can exist in, learn from, reason about, and act in the physical world. With recent advances in A…

cs.CY2024★ 140 cited

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…

cs.CY2024★ 85 cited

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…

cs.CY2024★ 25 cited

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…

cs.CY2024★ 112 cited

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…

cs.CY2024★ 17 cited

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…

cs.CY2024★ 30 cited

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.…

cs.CY2024

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…

cs.AI2024★ 29 cited

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…

cs.CY2021★ 143 cited

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

Jakob Mokander, Maria Axente, Federico Casolari +1

The proposed European Artificial Intelligence Act (AIA) is the first attempt to elaborate a general legal framework for AI carried out by any major global economy. As such, the AIA…

cs.CY2021★ 62 cited

Ethics-Based Auditing of Automated Decision-Making Systems: Intervention Points and Policy Implications

Jakob Mokander, Maria Axente

Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy…

cs.CY2021★ 197 cited

Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations

Jakob Mokander, Jessica Morley, Mariarosaria Taddeo +1

Important decisions that impact human lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making syst…

cs.CY2021★ 260 cited

Ethics-Based Auditing to Develop Trustworthy AI

Jakob Mokander, Luciano Floridi

A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions con…

cs.CY2021

Ethics as a service: a pragmatic operationalisation of AI Ethics

Jessica Morley, Anat Elhalal, Francesca Garcia +3

As the range of potential uses for Artificial Intelligence (AI), in particular machine learning (ML), has increased, so has awareness of the associated ethical issues. This increas…