Michael Veale

According to our database1, Michael Veale authored at least 21 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Understanding accountability in algorithmic supply chains.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Disparate Vulnerability to Membership Inference Attacks.
Proc. Priv. Enhancing Technol., 2022

Deploying decentralized, privacy-preserving proximity tracing.
Commun. ACM, 2022

CrowdNotifier: Decentralized Privacy-Preserving Presence Tracing.
Proc. Priv. Enhancing Technol., 2021

Demystifying the Draft EU Artificial Intelligence Act.
CoRR, 2021

Internet Policy Rev., 2020

Decentralized Privacy-Preserving Proximity Tracing.
IEEE Data Eng. Bull., 2020

Decentralized Privacy-Preserving Proximity Tracing.
CoRR, 2020

Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

The Human(s) in the Loop - Bringing AI and HCI Together.
Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Where is the Human?: Bridging the Gap Between AI and HCI.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Enslaving the Algorithm: From a "Right to an Explanation" to a "Right to Better Decisions"?
IEEE Secur. Priv., 2018

Eavesdropping Whilst You're Shopping: Balancing Personalisation and Privacy in Connected Retail Spaces.
CoRR, 2018

Algorithms that Remember: Model Inversion Attacks and Data Protection Law.
CoRR, 2018

Some HCI Priorities for GDPR-Compliant Machine Learning.
CoRR, 2018

Clarity, surprises, and further questions in the Article 29 Working Party draft guidance on automated decision-making and profiling.
Comput. Law Secur. Rev., 2018

Blind Justice: Fairness with Encrypted Sensitive Attributes.
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.
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.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Logics and practices of transparency and opacity in real-world applications of public sector machine learning.
CoRR, 2017

Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation.
Proceedings of the Social Informatics, 2017