Auditing large language models: a three-layered approach

J Mökander, J Schuett, HR Kirk, L Floridi - AI and Ethics, 2024 - Springer
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 …

Towards best practices in AGI safety and governance: A survey of expert opinion

J Schuett, N Dreksler, M Anderljung… - arxiv preprint arxiv …, 2023 - arxiv.org
A number of leading AI companies, including OpenAI, Google DeepMind, and Anthropic,
have the stated goal of building artificial general intelligence (AGI)-AI systems that achieve …

Navigating the EU AI Act: implications for regulated digital medical products

M Aboy, T Minssen, E Vayena - npj Digital Medicine, 2024 - nature.com
The newly adopted EU AI Act represents a pivotal milestone that heralds a new era of AI
regulation across industries. With its broad territorial scope and applicability, this …

Open-sourcing highly capable foundation models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives

E Seger, N Dreksler, R Moulange, E Dardaman… - arxiv preprint arxiv …, 2023 - arxiv.org
Recent decisions by leading AI labs to either open-source their models or to restrict access
to their models has sparked debate about whether, and how, increasingly capable AI …

Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic …

Y Walter - Discover Artificial Intelligence, 2024 - Springer
This paper delves into the complexities of global AI regulation and governance,
emphasizing the socio-economic repercussions of rapid AI development. It scrutinizes the …

Risk thresholds for frontier AI

L Koessler, J Schuett, M Anderljung - arxiv preprint arxiv:2406.14713, 2024 - arxiv.org
Frontier artificial intelligence (AI) systems could pose increasing risks to public safety and
security. But what level of risk is acceptable? One increasingly popular approach is to define …

[PDF][PDF] AI risk-management standards profile for general-purpose AI systems (GPAIS) and foundation models

AM Barrett, J Newman, B Nonnecke… - Center for Long-Term …, 2023 - cltc.berkeley.edu
Increasingly multi-purpose AI systems, such as cutting-edge large language models or other
“general-purpose AI” systems (GPAI or GPAIS),“foundation models,” generative AI, and …

Artificial intelligence to manage workplace bullying

MM De Obesso, CAP Rivero, OC Márquez - Journal of Business …, 2023 - Elsevier
This research links the efficiency of artificial intelligence (AI) to the work climate. The aim is
to compare whether workers would feel comfortable dealing with a case of harassment at …

AI cards: towards an applied framework for machine-readable AI and risk documentation inspired by the EU AI Act

D Golpayegani, I Hupont, C Panigutti, HJ Pandit… - Annual Privacy …, 2024 - Springer
With the upcoming enforcement of the EU AI Act, documentation of high-risk AI systems and
their risk management information will become a legal requirement playing a pivotal role in …

Three lines of defense against risks from AI

J Schuett - AI & SOCIETY, 2023 - Springer
Organizations that develop and deploy artificial intelligence (AI) systems need to manage
the associated risks—for economic, legal, and ethical reasons. However, it is not always …