Michael Veale
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British digital rights academic
Michael Veale's AcademicInfluence.com Rankings
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Law
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#3970
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Jurisprudence
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#229
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International Law
#1686
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#1997
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Law
Why Is Michael Veale Influential?
(Suggest an Edit or Addition)According to Wikipedia, Michael Veale is a technology policy academic who focuses on information technology and the law. He is currently associate professor in the Faculty of Laws at University College London . Education Veale holds a PhD in the application of law and policy to the social challenges of machine learning from UCL, a BSc in Government and Economics from the London School of Economics and a MSc in Sustainability, Science and Policy from Maastricht University.
Michael Veale's Published Works
Published Works
- 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (2018) (322)
- Decentralized Privacy-Preserving Proximity Tracing (2020) (279)
- Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (2018) (273)
- Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data (2017) (211)
- Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence (2020) (191)
- Algorithms that remember: model inversion attacks and data protection law (2018) (123)
- Blind Justice: Fairness with Encrypted Sensitive Attributes (2018) (103)
- Enslaving the Algorithm: From a “Right to an Explanation” to a “Right to Better Decisions”? (2018) (102)
- Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation (2017) (95)
- Slave to the Algorithm? Why a 'Right to an Explanation' Is Probably Not the Remedy You Are Looking For (2017) (82)
- Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach (2021) (70)
- Clarity, surprises, and further questions in the Article 29 Working Party draft guidance on automated decision-making and profiling (2018) (61)
- Administration by Algorithm? Public Management Meets Public Sector Machine Learning (2019) (51)
- When data protection by design and data subject rights clash (2018) (46)
- A Critical Take on the Policy Recommendations of the EU High-Level Expert Group on Artificial Intelligence (2019) (34)
- Where is the Human?: Bridging the Gap Between AI and HCI (2019) (31)
- Demystifying the Draft EU Artificial Intelligence Act (2021) (31)
- Disparate Vulnerability to Membership Inference Attacks (2019) (16)
- Certification systems for machine learning: Lessons from sustainability (2021) (14)
- Administration by Algorithm? (2019) (13)
- Some HCI Priorities for GDPR-Compliant Machine Learning (2018) (13)
- The Coronavirus (Safeguards) Bill 2020: Proposed protections for digital interventions and in relation to immunity certificates (2020) (11)
- Logics and practices of transparency and opacity in real-world applications of public sector machine learning (2017) (11)
- Data subjects as data controllers: a Fashion(able) concept? (2019) (10)
- CrowdNotifier: Decentralized Privacy-Preserving Presence Tracing (2021) (9)
- Adtech and Real-Time Bidding under European Data Protection Law (2021) (9)
- Book review: the formula: how algorithms solve all our problems … and create more by Luke Dormehl (2015) (8)
- Analysis of the NHSX Contact Tracing App ‘Isle of Wight’ Data Protection Impact Assessment (2020) (7)
- Getting Data Subject Rights Right A submission to the European Data Protection Board from international data rights academics, to inform regulatory guidance (2020) (6)
- Impossible Asks: Can the Transparency and Consent Framework Ever Authorise Real-Time Bidding After the Belgian DPA Decision? (2022) (6)
- Is That Your Final Decision? Multi-Stage Profiling, Selective Effects, and Article 22 of the GDPR (2021) (6)
- Eavesdropping Whilst You're Shopping: Balancing Personalisation and Privacy in Connected Retail Spaces (2018) (5)
- Promises Made to Be Broken: Performance and Performativity in Digital Vaccine and Immunity Certification (2021) (5)
- Data management and use: Case studies of technologies and governance (2018) (4)
- Smart Technologies and Our Sense of Self: Going Beyond Epistemic Counter-Profiling (2019) (4)
- Cybersecurity for Elections: A Commonwealth Guide on Best Practice (2020) (3)
- Deploying decentralized, privacy-preserving proximity tracing (2022) (3)
- Dark Patterns Post-GDPR: Scraping Consent Interface Designs and Demonstrating their Influence (2020) (3)
- The Need for Sensemaking in Networked Privacy and Algorithmic Responsibility (2018) (3)
- Getting Data Subject Rights Right (2019) (2)
- The Human(s) in the Loop - Bringing AI and HCI Together (2019) (2)
- Moving to metrics: Opportunities and challenges of performance-based sustainability standards (2015) (2)
- Hives of activity: Contestation and coalitions around pesticides, policies and pollinators (2014) (1)
- Governing machine learning that matters (2019) (1)
- Cybersecurity for Elections (2020) (1)
- 'It's Reducing a Human Being to a Percentage'; Perceptions of Procedural Justice in Algorithmic Decisions (2018) (1)
- Cybersecurity (2020) (1)
- Supplementary Written Evidence on COVID-19 Tracing Apps to the Joint Committee on Human Rights (2020) (1)
- Can the Transparency and Consent Frame work Ever Authorise Real-Time Bidding After the Belgian DPA Decision? (2022) (0)
- Disinformation and digital dominance: Regulation through the lens of the election lifecycle (2020) (0)
- Ignore Mark Zuckerberg: His promise that new EU data privacy guidelines will be “rolled out” to American users is misleading (2018) (0)
- Connecting diverse public sector values with the procurement of machine learning systems (2016) (0)
- Book review: fantasy islands: Chinese dreams and ecological fears in an age of climate crisis by Julie Sze (2015) (0)
- Understanding accountability in algorithmic supply chains (2023) (0)
- Responding to Disinformation (2021) (0)
- Book review: action research for sustainability by Jonas Egmose (2015) (0)
- Book review: coffee by Gavin Fridell (2014) (0)
- Book review: Service automation: robots and the future ofwork by Leslie P. Willcocks and Mary C. Lacity (2016) (0)
- Fortifying the algorithmic management provisions in the proposed Platform Work Directive (2023) (0)
- Book review: the problem-solving capacity of the modern state (2015) (0)
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