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2020 – today
- 2024
[c9]Petros Terzis
, Michael Veale, Noëlle Gaumann:
Law and the Emerging Political Economy of Algorithmic Audits. FAccT 2024: 1255-1267- [i16]Petros Terzis, Michael Veale, Noëlle Gaumann:
Law and the Emerging Political Economy of Algorithmic Audits. CoRR abs/2406.11855 (2024) - 2023
- [c8]Jennifer Cobbe, Michael Veale, Jatinder Singh:
Understanding accountability in algorithmic supply chains. FAccT 2023: 1186-1197 - [i15]Jennifer Cobbe, Michael Veale, Jatinder Singh:
Understanding accountability in algorithmic supply chains. CoRR abs/2304.14749 (2023) - [i14]Robert Gorwa, Michael Veale:
Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries. CoRR abs/2311.12573 (2023) - [i13]Bettina Könighofer, Joshua A. Kroll, Ruzica Piskac, Michael Veale, Filip Cano Córdoba:
Accountable Software Systems (Dagstuhl Seminar 23411). Dagstuhl Reports 13(10): 24-49 (2023) - 2022
- [j8]Carmela Troncoso, Dan Bogdanov, Edouard Bugnion, Sylvain Chatel, Cas Cremers, Seda F. Gürses, Jean-Pierre Hubaux, Dennis Jackson, James R. Larus, Wouter Lueks, Rui Oliveira, Mathias Payer, Bart Preneel, Apostolos Pyrgelis, Marcel Salathé, Theresa Stadler, Michael Veale:
Deploying decentralized, privacy-preserving proximity tracing. Commun. ACM 65(9): 48-57 (2022) - [j7]Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso:
Disparate Vulnerability to Membership Inference Attacks. Proc. Priv. Enhancing Technol. 2022(1): 460-480 (2022) - 2021
- [j6]Wouter Lueks, Seda F. Gürses, Michael Veale, Edouard Bugnion, Marcel Salathé, Kenneth G. Paterson, Carmela Troncoso:
CrowdNotifier: Decentralized Privacy-Preserving Presence Tracing. Proc. Priv. Enhancing Technol. 2021(4): 350-368 (2021) - [i12]Michael Veale, Frederik J. Zuiderveen Borgesius:
Demystifying the Draft EU Artificial Intelligence Act. CoRR abs/2107.03721 (2021) - 2020
- [j5]Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James R. Larus, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda Gurses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira:
Decentralized Privacy-Preserving Proximity Tracing. IEEE Data Eng. Bull. 43(2): 36-66 (2020) - [j4]Michael Veale, Ian Brown:
Cybersecurity. Internet Policy Rev. 9(4) (2020) - [c7]Midas Nouwens, Ilaria Liccardi, Michael Veale, David R. Karger, Lalana Kagal:
Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence. CHI 2020: 1-13 - [i11]Midas Nouwens, Ilaria Liccardi, Michael Veale, David R. Karger, Lalana Kagal:
Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence. CoRR abs/2001.02479 (2020) - [i10]Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James R. Larus, Edouard Bugnion, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda F. Gürses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira:
Decentralized Privacy-Preserving Proximity Tracing. CoRR abs/2005.12273 (2020)
2010 – 2019
- 2019
- [c6]Kori Inkpen, Stevie Chancellor, Munmun De Choudhury, Michael Veale, Eric P. S. Baumer:
Where is the Human?: Bridging the Gap Between AI and HCI. CHI Extended Abstracts 2019 - [c5]Tom Gross, Kori Inkpen, Brian Y. Lim, Michael Veale:
The Human(s) in the Loop - Bringing AI and HCI Together. INTERACT (4) 2019: 731-734 - 2018
- [j3]Michael Veale, Lilian Edwards:
Clarity, surprises, and further questions in the Article 29 Working Party draft guidance on automated decision-making and profiling. Comput. Law Secur. Rev. 34(2): 398-404 (2018) - [j2]Lilian Edwards, Michael Veale:
Enslaving the Algorithm: From a "Right to an Explanation" to a "Right to Better Decisions"? IEEE Secur. Priv. 16(3): 46-54 (2018) - [c4]Reuben Binns, Max Van Kleek, Michael Veale, Ulrik Lyngs, Jun Zhao, Nigel Shadbolt:
'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions. CHI 2018: 377 - [c3]Michael Veale, Max Van Kleek, Reuben Binns:
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making. CHI 2018: 440 - [c2]Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller:
Blind Justice: Fairness with Encrypted Sensitive Attributes. ICML 2018: 2635-2644 - [i9]Reuben Binns, Max Van Kleek, Michael Veale, Ulrik Lyngs, Jun Zhao, Nigel Shadbolt:
'It's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions. CoRR abs/1801.10408 (2018) - [i8]Michael Veale, Max Van Kleek, Reuben Binns:
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making. CoRR abs/1802.01029 (2018) - [i7]Michael Veale, Reuben Binns, Max Van Kleek:
Some HCI Priorities for GDPR-Compliant Machine Learning. CoRR abs/1803.06174 (2018) - [i6]Lilian Edwards, Michael Veale:
Enslaving the Algorithm: From a "Right to an Explanation" to a "Right to Better Decisions"? CoRR abs/1803.07540 (2018) - [i5]Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller:
Blind Justice: Fairness with Encrypted Sensitive Attributes. CoRR abs/1806.03281 (2018) - [i4]Michael Veale, Reuben Binns, Lilian Edwards:
Algorithms that Remember: Model Inversion Attacks and Data Protection Law. CoRR abs/1807.04644 (2018) - [i3]Vasilios Mavroudis, Michael Veale:
Eavesdropping Whilst You're Shopping: Balancing Personalisation and Privacy in Connected Retail Spaces. CoRR abs/1807.05381 (2018) - 2017
- [j1]Michael Veale, Reuben Binns:
Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data. Big Data Soc. 4(2): 205395171774353 (2017) - [c1]Reuben Binns, Michael Veale, Max Van Kleek, Nigel Shadbolt:
Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation. SocInfo (2) 2017: 405-415 - [i2]Michael Veale:
Logics and practices of transparency and opacity in real-world applications of public sector machine learning. CoRR abs/1706.09249 (2017) - [i1]Reuben Binns, Michael Veale, Max Van Kleek, Nigel Shadbolt:
Like trainer, like bot? Inheritance of bias in algorithmic content moderation. CoRR abs/1707.01477 (2017)
Coauthor Index
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