AI and global governance: modalities, rationales, tensions

M Veale, K Matus, R Gorwa - Annual Review of Law and Social …, 2023 - annualreviews.org
Artificial intelligence (AI) is a salient but polarizing issue of recent times. Actors around the
world are engaged in building a governance regime around it. What exactly the “it” is that is …

The foundation model transparency index

R Bommasani, K Klyman, S Longpre, S Kapoor… - arXiv preprint arXiv …, 2023 - arxiv.org
Foundation models have rapidly permeated society, catalyzing a wave of generative AI
applications spanning enterprise and consumer-facing contexts. While the societal impact of …

Real-world machine learning systems: A survey from a data-oriented architecture perspective

C Cabrera, A Paleyes, P Thodoroff… - arXiv preprint arXiv …, 2023 - arxiv.org
Machine Learning models are being deployed as parts of real-world systems with the
upsurge of interest in artificial intelligence. The design, implementation, and maintenance of …

Going public: the role of public participation approaches in commercial AI labs

L Groves, A Peppin, A Strait, J Brennan - Proceedings of the 2023 ACM …, 2023 - dl.acm.org
In recent years, discussions of responsible AI practices have seen growing support for
'participatory AI'approaches, intended to involve members of the public in the design and …

Auditing work: Exploring the New York City algorithmic bias audit regime

L Groves, J Metcalf, A Kennedy, B Vecchione… - The 2024 ACM …, 2024 - dl.acm.org
In July 2023, New York City (NYC) implemented the first attempt to create an algorithm
auditing regime for commercial machine-learning systems. Local Law 144 (LL 144), requires …

Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints

DG Widder - The 2024 ACM Conference on Fairness, Accountability …, 2024 - dl.acm.org
What counts as legitimate AI ethics labor, and consequently, what are the epistemic terms on
which AI ethics claims are rendered legitimate? Based on 75 interviews with technologists …

[PDF][PDF] Practices for governing agentic AI systems

Y Shavit, S Agarwal, M Brundage, S Adler… - Research Paper …, 2023 - cdn.openai.com
Agentic AI systems—AI systems that can pursue complex goals with limited direct
supervision—are likely to be broadly useful if we can integrate them responsibly into our …

Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions

A Brintrup, G Baryannis, A Tiwari, S Ratchev… - arXiv preprint arXiv …, 2023 - arxiv.org
While the increased use of AI in the manufacturing sector has been widely noted, there is
little understanding on the risks that it may raise in a manufacturing organisation. Although …

[HTML][HTML] The ALTAI checklist as a tool to assess ethical and legal implications for a trustworthy AI development in education

A Fedele, C Punzi, S Tramacere - Computer Law & Security Review, 2024 - Elsevier
The rapid proliferation of Artificial Intelligence (AI) applications in various domains of our
lives has prompted a need for a shift towards a human-centered and trustworthy approach to …

Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models

B Laufer, J Kleinberg, H Heidari - Proceedings of the ACM on Web …, 2024 - dl.acm.org
Recent advances in Machine Learning (ML) and Artificial Intelligence (AI) follow a familiar
structure: A firm releases a large, pretrained model. It is designed to be adapted and …