collaborators

7 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

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

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

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

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

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…