Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Veale, Michael"'
Publikováno v:
Proceedings of the 2024 ACM Conference on Fairness, Accountability and Transparency (FAccT '24) (ACM 2024)
For almost a decade now, scholarship in and beyond the ACM FAccT community has been focusing on novel and innovative ways and methodologies to audit the functioning of algorithmic systems. Over the years, this research idea and technical project has
Externí odkaz:
http://arxiv.org/abs/2406.11855
Autor:
Gorwa, Robert, Veale, Michael
Publikováno v:
(2024) 16(2) Law Innovation and Technology
The AI development community is increasingly making use of hosting intermediaries such as Hugging Face provide easy access to user-uploaded models and training data. These model marketplaces lower technical deployment barriers for hundreds of thousan
Externí odkaz:
http://arxiv.org/abs/2311.12573
Publikováno v:
2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT '23)
Academic and policy proposals on algorithmic accountability often seek to understand algorithmic systems in their socio-technical context, recognising that they are produced by 'many hands'. Increasingly, however, algorithmic systems are also produce
Externí odkaz:
http://arxiv.org/abs/2304.14749
Autor:
Gorwa, Robert1 (AUTHOR), Veale, Michael2,3 (AUTHOR) m.veale@ucl.ac.uk
Publikováno v:
Law, Innovation & Technology. Sep2024, p1-51. 51p. 5 Illustrations.
Publikováno v:
Computer Law Review International (2021), 22(4) 97-112
In April 2021, the European Commission proposed a Regulation on Artificial Intelligence, known as the AI Act. We present an overview of the Act and analyse its implications, drawing on scholarship ranging from the study of contemporary AI practices t
Externí odkaz:
http://arxiv.org/abs/2107.03721
Autor:
Troncoso, Carmela, Payer, Mathias, Hubaux, Jean-Pierre, Salathé, Marcel, Larus, James, Bugnion, Edouard, Lueks, Wouter, Stadler, Theresa, Pyrgelis, Apostolos, Antonioli, Daniele, Barman, Ludovic, Chatel, Sylvain, Paterson, Kenneth, Čapkun, Srdjan, Basin, David, Beutel, Jan, Jackson, Dennis, Roeschlin, Marc, Leu, Patrick, Preneel, Bart, Smart, Nigel, Abidin, Aysajan, Gürses, Seda, Veale, Michael, Cremers, Cas, Backes, Michael, Tippenhauer, Nils Ole, Binns, Reuben, Cattuto, Ciro, Barrat, Alain, Fiore, Dario, Barbosa, Manuel, Oliveira, Rui, Pereira, José
This document describes and analyzes a system for secure and privacy-preserving proximity tracing at large scale. This system, referred to as DP3T, provides a technological foundation to help slow the spread of SARS-CoV-2 by simplifying and accelerat
Externí odkaz:
http://arxiv.org/abs/2005.12273
New consent management platforms (CMPs) have been introduced to the web to conform with the EU's General Data Protection Regulation, particularly its requirements for consent when companies collect and process users' personal data. This work analyses
Externí odkaz:
http://arxiv.org/abs/2001.02479
A membership inference attack (MIA) against a machine-learning model enables an attacker to determine whether a given data record was part of the model's training data or not. In this paper, we provide an in-depth study of the phenomenon of disparate
Externí odkaz:
http://arxiv.org/abs/1906.00389
Autor:
Gaumann, Noëlle1, Veale, Michael1 m.veale@ucl.ac.uk
Publikováno v:
Information & Communications Technology Law. Oct2024, Vol. 33 Issue 3, p276-309. 34p.
Autor:
Mavroudis, Vasilios, Veale, Michael
Physical retailers, who once led the way in tracking with loyalty cards and `reverse appends', now lag behind online competitors. Yet we might be seeing these tables turn, as many increasingly deploy technologies ranging from simple sensors to advanc
Externí odkaz:
http://arxiv.org/abs/1807.05381