Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements sustained over three main pillars that should be met throughout the system's entire life cycle …
Large language models (LLMs) represent a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and …
In its AI Act, the European Union chose to understand trustworthiness of AI in terms of the acceptability of its risks. Based on a narrative systematic literature review on institutional …
On the whole, the US 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 …
L Floridi - Philosophy & Technology, 2021 - Springer
Some European legislation on artificial intelligence (AI) had been expected at least since 16 July 2019. On that date, Ursula von der Leyen had pledged that, within 100 days of her …
We have developed capAI, a conformity assessment procedure for AI systems, to provide an independent, comparable, quantifiable, and accountable assessment of AI systems that …
Ethics-based auditing (EBA) is a structured process whereby an entity's past or present behaviour is assessed for consistency with moral principles or norms. Recently, EBA has …
The development of processes and tools for ethical, trustworthy, and legal AI is only beginning. At the same time, legal requirements are emerging in various jurisdictions …
AI auditing is a rapidly growing field of research and practice. This review article, which doubles as an editorial to Digital Society's topical collection on 'Auditing of AI', provides an …