Michael Veale

University College London, Faculty of Laws

Lecturer in Digital Rights & Regulation

Gower St

London WC1E OEG, WC1E 6BT

United Kingdom

The Alan Turing Institute

Digital Charter Fellow

96 Euston Road

London, NW1 2DB

United Kingdom

SCHOLARLY PAPERS

13

DOWNLOADS
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9,082

SSRN CITATIONS
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SSRN RANKINGS

Top 10,623

in Total Papers Citations

85

CROSSREF CITATIONS

23

Ideas:
“  I'm working on data protection, public sector machine learning, legal aspects of privacy-enhancing technologies, and fairer and less discriminatory uses of data.  ”

Scholarly Papers (13)

1.

Slave to the Algorithm? Why a 'Right to an Explanation' Is Probably Not the Remedy You Are Looking For

16 Duke Law & Technology Review 18 (2017)
Number of pages: 67 Posted: 24 May 2017 Last Revised: 06 Dec 2017
Lilian Edwards and Michael Veale
University of Newcastle - Law School and University College London, Faculty of Laws
Downloads 4,664 (1,988)
Citation 33

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algorithms, machine learning, GDPR, data protection, data mining, KDD, explanations, right to an explanation, computer science, IoT, transparency

2.

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

IEEE Security & Privacy (2018) 16(3), pp. 46-54, DOI: 10.1109/MSP.2018.2701152
Number of pages: 14 Posted: 16 Oct 2017 Last Revised: 15 Jul 2018
Lilian Edwards and Michael Veale
University of Newcastle - Law School and University College London, Faculty of Laws
Downloads 1,333 (16,064)
Citation 7

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GDPR, Data Protection, Right to an Explanation, Right to Explanation, Algorithmic Accountability, Automated Decision-Making, Automated Decisions, General Data Protection Regulation, Council of Europe, Convention 108, CoE 108, Transparency, Judicial Review, Black Boxes, Machine Learning

3.

Administration by Algorithm? Public Management Meets Public Sector Machine Learning

In: Algorithmic Regulation (Karen Yeung and Martin Lodge eds., Oxford University Press, 2019)
Number of pages: 30 Posted: 20 Apr 2019
Michael Veale and Irina Brass
University College London, Faculty of Laws and University College London - Department of Science, Technology, Engineering and Public Policy (STEaPP)
Downloads 581 (51,941)
Citation 6

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algorithmic decision-making, machine learning, public management, public administration, e-government, automated decision-making

4.

When Data Protection by Design and Data Subject Rights Clash

International Data Privacy Law (2018) doi:10.1093/idpl/ipy002
Number of pages: 19 Posted: 09 Dec 2017 Last Revised: 17 Apr 2018
Michael Veale, Reuben Binns and Jef Ausloos
University College London, Faculty of Laws, University of Oxford and University of Amsterdam - Institute for Information Law (IViR)
Downloads 573 (52,833)
Citation 3

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privacy by design, data protection by design, privacy-enhancing technologies, privacy enhancing technologies, privacy, data protection, GDPR, data protection impact assessments, information rights, transparency, access rights, right of access, right to be forgotten, right of erasure, right to object

5.

Algorithms that Remember: Model Inversion Attacks and Data Protection Law

376 Philosophical Transactions of the Royal Society A 20180083, 2018, DOI: 10.1098/rsta.2018.0083
Number of pages: 15 Posted: 06 Aug 2018 Last Revised: 19 Oct 2018
Michael Veale, Reuben Binns and Lilian Edwards
University College London, Faculty of Laws, University of Oxford and University of Newcastle - Law School
Downloads 527 (58,722)
Citation 3

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data protection, gdpr, machine learning, model inversion, membership inference, algorithmic accountability

6.

Clarity, Surprises, and Further Questions in the Article 29 Working Party Draft Guidance on Automated Decision-Making and Profiling

Computer Law & Security Review 34(2) 2018, 398-404, DOI: 10.1016/j.clsr.2017.12.002
Number of pages: 7 Posted: 17 Nov 2017 Last Revised: 15 Jul 2018
Michael Veale and Lilian Edwards
University College London, Faculty of Laws and University of Newcastle - Law School
Downloads 515 (60,484)
Citation 19

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GDPR, Article 22, Profiling, Machine Learning, AI Governance, Data Governance, Right to an Explanation, Right to Explanation, Access Rights, Algorithmic Accountability, Algorithmic Bias, FATML, Article 29 Working Party, A29WP, Article 29

7.

Fairer Machine Learning in the Real World: Mitigating Discrimination Without Collecting Sensitive Data

Big Data & Society 4(2), doi:10.1177/2053951717743530
Number of pages: 17 Posted: 30 Oct 2017 Last Revised: 10 Dec 2017
Michael Veale and Reuben Binns
University College London, Faculty of Laws and University of Oxford
Downloads 283 (120,742)
Citation 2

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machine learning, algorithmic accountability, discrimination-aware data mining, fairness-aware machine learning, protected characteristics, anti-discrimination law, FATML, algorithmic regulation, algorithmic bias, data protection, gdpr, discrimination, redlining

8.

A Critical Take on the Policy Recommendations of the EU High-Level Expert Group on Artificial Intelligence

European Journal of Risk Regulation 2020 doi:10/ggjdjs, Faculty of Laws University College London Law Research Paper, No. 8, 2019
Number of pages: 9 Posted: 10 Nov 2019 Last Revised: 26 Jan 2020
Michael Veale
University College London, Faculty of Laws
Downloads 164 (203,548)
Citation 4

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artificial intelligence, high-level expert group, AI ethics, european commission

9.

'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 (CHI'18), DOI: 10.1145/3173574.3173951
Number of pages: 14 Posted: 16 Feb 2018 Last Revised: 18 May 2018
University of Oxford, University of Oxford - Computing Laboratory, University College London, Faculty of Laws, University of Oxford - Computing Laboratory, University of Oxford - Computing Laboratory and University of Oxford - Computing Laboratory
Downloads 144 (225,608)
Citation 6

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GDPR, article 22, automated decision-making, algorithmic accountability, right to an explanation, right to explanation, explanation facilities, procedural justice

10.

Some HCI Priorities for GDPR-Compliant Machine Learning

Paper presented at The General Data Protection Regulation: An Opportunity for the CHI Community? (CHI-GDPR 2018), Workshop at ACM CHI'18, 22 April 2018, Montreal, Canada
Number of pages: 8 Posted: 22 Mar 2018 Last Revised: 29 Mar 2018
Michael Veale, Reuben Binns and Max Van Kleek
University College London, Faculty of Laws, University of Oxford and University of Oxford - Computing Laboratory
Downloads 110 (276,528)

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GDPR, data protection, machine learning, artificial intelligence, human-computer interaction, user interfaces, discrimination, anti-discrimination, algorithmic accountability

11.

Smart Technologies and Our Sense of Self: Going Beyond Epistemic Counter-Profiling

Life and the Law in the Era of Data-Driven Agency, Mireille Hildebrandt & Kieron O'Hara (eds.), 2020, Edward Elgar Publishing Ltd.
Number of pages: 19 Posted: 05 Jun 2019 Last Revised: 29 Oct 2019
Sylvie Delacroix and Michael Veale
University of Birmingham - Birmingham Law School and University College London, Faculty of Laws
Downloads 88 (320,250)
Citation 2

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counter-profiling, personalisation, ethical agency, Hannah Arendt, serendipity, optimisation

12.

Getting Data Subject Rights Right

(2019) 10 JIPITEC 283
Number of pages: 27 Posted: 26 Mar 2020
Jef Ausloos, Rene Mahieu and Michael Veale
University of Amsterdam - Institute for Information Law (IViR), Vrije Universiteit Brussel (VUB), LSTS, Interdisciplinary Research Group on Law Science Technology & Society and University College London, Faculty of Laws
Downloads 57 (406,385)

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13.

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 (CHI'18) doi:10.1145/3173574.3174014, ISBN: 978-1-4503-5620-6
Number of pages: 14 Posted: 23 May 2018
Michael Veale, Max Van Kleek and Reuben Binns
University College London, Faculty of Laws, University of Oxford - Computing Laboratory and University of Oxford
Downloads 43 (458,505)
Citation 9

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machine learning, algorithmic accountability, accountability, fairness, public sector, decision-support, policing, child welfare, taxation