Michael Veale

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Sensitive Attributes

Artificially Intelligent

Privacy Preservation

Top Venues

Proc. Priv. Enhancing Technol.

Publications

Petros Terzis, Michael Veale, Noëlle Gaumann
Law and the Emerging Political Economy of Algorithmic Audits. FAccT (2024)
Petros Terzis, Michael Veale, Noëlle Gaumann
Law and the Emerging Political Economy of Algorithmic Audits. CoRR (2024)
Jennifer Cobbe, Michael Veale, Jatinder Singh
Understanding accountability in algorithmic supply chains. FAccT (2023)
Bettina Könighofer, Joshua A. Kroll, Ruzica Piskac, Michael Veale, Filip Cano Córdoba
Accountable Software Systems (Dagstuhl Seminar 23411). Dagstuhl Reports 13 (10) (2023)
Robert Gorwa, Michael Veale
Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries. CoRR (2023)
Jennifer Cobbe, Michael Veale, Jatinder Singh
Understanding accountability in algorithmic supply chains. CoRR (2023)
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) (2022)
Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso
Disparate Vulnerability to Membership Inference Attacks. Proc. Priv. Enhancing Technol. 2022 (1) (2022)
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) (2021)
Michael Veale, Frederik J. Zuiderveen Borgesius
Demystifying the Draft EU Artificial Intelligence Act. CoRR (2021)
Michael Veale, Ian Brown
Cybersecurity. Internet Policy Rev. 9 (4) (2020)
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 (2020)
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)
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 (2020)
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) (2020)
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)
Tom Gross, Kori Inkpen, Brian Y. Lim, Michael Veale
The Human(s) in the Loop - Bringing AI and HCI Together. INTERACT (4) (2019)
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)
Lilian Edwards, Michael Veale
Enslaving the Algorithm: From a "Right to an Explanation" to a "Right to Better Decisions"? CoRR (2018)
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 (2018)
Vasilios Mavroudis, Michael Veale
Eavesdropping Whilst You're Shopping: Balancing Personalisation and Privacy in Connected Retail Spaces. CoRR (2018)
Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller
Blind Justice: Fairness with Encrypted Sensitive Attributes. CoRR (2018)
Lilian Edwards, Michael Veale
Enslaving the Algorithm: From a "Right to an Explanation" to a "Right to Better Decisions"? IEEE Secur. Priv. 16 (3) (2018)
Michael Veale, Max Van Kleek, Reuben Binns
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making. CHI (2018)
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) (2018)
Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller
Blind Justice: Fairness with Encrypted Sensitive Attributes. ICML (2018)
Michael Veale, Max Van Kleek, Reuben Binns
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making. CoRR (2018)
Michael Veale, Reuben Binns, Lilian Edwards
Algorithms that Remember: Model Inversion Attacks and Data Protection Law. CoRR (2018)
Michael Veale, Reuben Binns, Max Van Kleek
Some HCI Priorities for GDPR-Compliant Machine Learning. CoRR (2018)
Reuben Binns, Michael Veale, Max Van Kleek, Nigel Shadbolt
Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation. SocInfo (2) (2017)
Reuben Binns, Michael Veale, Max Van Kleek, Nigel Shadbolt
Like trainer, like bot? Inheritance of bias in algorithmic content moderation. CoRR (2017)
Michael Veale, Reuben Binns
Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data. Big Data Soc. 4 (2) (2017)
Michael Veale
Logics and practices of transparency and opacity in real-world applications of public sector machine learning. CoRR (2017)