Michael Veale

According to our database, Michael Veale authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Law and the Emerging Political Economy of Algorithmic Audits.

Petros Terzis, Michael Veale, Noëlle Gaumann

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Accountable Software Systems (Dagstuhl Seminar 23411).

Bettina Könighofer, Joshua A. Kroll, Ruzica Piskac, Michael Veale, Filip Cano Córdoba

Dagstuhl Reports, 2023

Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries.

Robert Gorwa, Michael Veale

CoRR, 2023

Understanding accountability in algorithmic supply chains.

Jennifer Cobbe, Michael Veale, Jatinder Singh

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Disparate Vulnerability to Membership Inference Attacks.

Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso

Proc. Priv. Enhancing Technol., 2022

Deploying decentralized, privacy-preserving proximity tracing.

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

Commun. ACM, 2022

2021

CrowdNotifier: Decentralized Privacy-Preserving Presence Tracing.

Wouter Lueks, Seda F. Gürses, Michael Veale, Edouard Bugnion, Marcel Salathé, Kenneth G. Paterson, Carmela Troncoso

Proc. Priv. Enhancing Technol., 2021

Demystifying the Draft EU Artificial Intelligence Act.

Michael Veale, Frederik J. Zuiderveen Borgesius

CoRR, 2021

2020

Cybersecurity.

Michael Veale, Ian Brown

Internet Policy Rev., 2020

Decentralized Privacy-Preserving Proximity Tracing.

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

IEEE Data Eng. Bull., 2020

Decentralized Privacy-Preserving Proximity Tracing.

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

CoRR, 2020

Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence.

Midas Nouwens, Ilaria Liccardi, Michael Veale, David R. Karger, Lalana Kagal

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

The Human(s) in the Loop - Bringing AI and HCI Together.

Tom Gross, Kori Inkpen, Brian Y. Lim, Michael Veale

Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Where is the Human?: Bridging the Gap Between AI and HCI.

Kori Inkpen, Stevie Chancellor, Munmun De Choudhury, Michael Veale, Eric P. S. Baumer

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Enslaving the Algorithm: From a "Right to an Explanation" to a "Right to Better Decisions"?

Lilian Edwards, Michael Veale

IEEE Secur. Priv., 2018

Eavesdropping Whilst You're Shopping: Balancing Personalisation and Privacy in Connected Retail Spaces.

Vasilios Mavroudis, Michael Veale

CoRR, 2018

Algorithms that Remember: Model Inversion Attacks and Data Protection Law.

Michael Veale, Reuben Binns, Lilian Edwards

CoRR, 2018

Some HCI Priorities for GDPR-Compliant Machine Learning.

Michael Veale, Reuben Binns, Max Van Kleek

CoRR, 2018

Clarity, surprises, and further questions in the Article 29 Working Party draft guidance on automated decision-making and profiling.

Michael Veale, Lilian Edwards

Comput. Law Secur. Rev., 2018

Blind Justice: Fairness with Encrypted Sensitive Attributes.

Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller

Proceedings of the 35th International Conference on Machine Learning, 2018

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making.

Michael Veale, Max Van Kleek, Reuben Binns

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions.

Reuben Binns, Max Van Kleek, Michael Veale, Ulrik Lyngs, Jun Zhao, Nigel Shadbolt

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data.

Michael Veale, Reuben Binns

Big Data Soc., December, 2017

Logics and practices of transparency and opacity in real-world applications of public sector machine learning.

Michael Veale

CoRR, 2017

Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation.

Reuben Binns, Michael Veale, Max Van Kleek, Nigel Shadbolt

Proceedings of the Social Informatics, 2017