179 citations · 502 across the 10 of their papers we have counts for
10 papers
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…
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.…
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Claudio Novelli, Federico Casolari, Philipp Hacker +2
The advent of Generative AI, particularly through Large Language Models (LLMs) like ChatGPT and its successors, marks a paradigm shift in the AI landscape. Advanced LLMs exhibit mu…
The Cybersecurity Crisis of Artificial Intelligence: Unrestrained Adoption and Natural Language-Based Attacks
Andreas Tsamados, Luciano Floridi, Mariarosaria Taddeo
The widespread integration of autoregressive-large language models (AR-LLMs), such as ChatGPT, across established applications, like search engines, has introduced critical vulnera…