Home
9

Governance

9

Privacy Policy

9

Cookie Policy

Members
News & Media
Education & Training
9

Summer Academy For Global Privacy Law 2022

Engineering the data regulation(s) in an age of reform

9

BPH Privacy & Data Protection

Doctoral Seminars

9

Visiting Scholars Programme

Events
9

Meet the Author Series

9

Brussels Privacy Symposium

9

Data Protection In the World Series

9

Enforcing Europe Series 2

9

Data Sustainability Series

9

Ad-Hoc Events

Publications
9

Working Papers

Data Protection & Privacy

9

Workshop Summaries

From BPH Events

9

Reports

Projects
9

Data Protection in Humanitarian Action

Contact
9

Contact

The International Observatory on Vulnerable People In data protection

Resources

Disclaimer: The resources are arranged per thematic sections to facilitate the consultation. However, we are aware of the intersections and overlaps thereof. We are also aware that pre-identifying categories of vulnerable people in data processing is not possible, vulnerability being a largely contextual and elusive concept. We are not claiming to be exhaustive, but to initiate a discussion.

Do you have any suggestions as to how improve the repository? Have you come across any resource that should be included in the repository? Contact us.

Non-discrimination, AI and data protection

- Academic writings

Caplan, R.  et al. (2018). Algorithmic Accountability: A Primer. Data & Society report. https://datasociety.net/library/algorithmic-accountability-a-primer/

Crawford, K. (2021). The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven: Yale University Press https://yalebooks.yale.edu/book/9780300264630/atlas-of-ai/ 

Kamiran, F.,  Calders, T.,  & Pechenizkiy, M. (2013). Techniques for Discrimination-Free Predictive Models, in Custers et al. (eds) Discrimination and Privacy in the Information Society, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-30487-3_12

Kasy, M., & Abebe, R. (2021, March). Fairness, equality, and power in algorithmic decision-making. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 576-586. https://doi.org/10.1145/3442188.3445919

Krupiy, Tetyana. “Why the Proposed Artificial Intelligence Regulation Does Not Deliver on the Promise to Protect Individuals from Harm.” European Law Blog, 2021. https://europeanlawblog.eu/2021/07/23/why-the-proposed-artificial-intelligence-regulation-does-not-deliver-on-the-promise-to-protect-individuals-from-harm/

Krupiy, Tetyana (Tanya). “A Vulnerability Analysis: Theorising the Impact of Artificial Intelligence Decision-Making Processes on Individuals, Society and Human Diversity from a Social Justice Perspective.” Computer Law and Security Review 38 (2020): 105429. https://doi.org/10.1016/j.clsr.2020.105429

Leavy, S. (2018). Gender Bias in Artificial Intelligence: The Need for Diversity and Gender Theory in Machine Learning,” 2018 IEEE/ACM 1st International Workshop on Gender Equality in Software Engineering (GE), 14-16.

Mesch, G. S., & Dodel, M. (2018). Low self-control, information disclosure, and the risk of online fraud. American Behavioral Scientist62(10), 1356-1371 https://doi.org/10.1177/0002764218787854

Mullaney et al. (eds.) (2021). Your Computer Is on Fire. MIT Press. https://direct.mit.edu/books/book/5044/Your-Computer-Is-on-Fire

Patton, D. U., Brunton, D. W., Dixon, A., Miller, R. J., Leonard, P., & Hackman, R. (2017). Stop and frisk online: Theorizing everyday racism in digital policing in the use of social media for identification of criminal conduct and associations. Social Media+ Society3(3). https://doi.org/10.1177/2056305117733344

Tzanou, Maria. “The Future of Eu Data Privacy Law: Towards a More Egalitarian Data Privacy.” Journal of International and Comparative Law 7, no. 2 (2020): 449–70. https://ssrn.com/abstract=3710528

- NGO Reports & Articles

- Data Protection Authorities' Guidance

- Laws

- Case Law

- European Court of Human Rights

- Court of Justice of the European Union

- Policy documents

- Global Developments

- Others