| 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions R Binns, M Van Kleek, M Veale, U Lyngs, J Zhao, N Shadbolt Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 46 | 2018 |
| Fairness and accountability design needs for algorithmic support in high-stakes public sector decision-making M Veale, M Van Kleek, R Binns Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 40 | 2018 |
| Better the devil you know: Exposing the data sharing practices of smartphone apps M Van Kleek, I Liccardi, R Binns, J Zhao, DJ Weitzner, N Shadbolt Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 37 | 2017 |
| Fairness in Machine Learning: Lessons from Political Philosophy R Binns Proceedings of Machine Learning Research 81, 1-11, 2017 | 34 | 2017 |
| Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data M Veale, R Binns Big Data & Society 4 (2), 2053951717743530, 2017 | 32* | 2017 |
| Algorithmic accountability and public reason R Binns Philosophy & technology 31 (4), 543-556, 2018 | 20 | 2018 |
| Like trainer, like bot? Inheritance of bias in algorithmic content moderation R Binns, M Veale, M Van Kleek, N Shadbolt International Conference on Social Informatics, 405-415, 2017 | 16 | 2017 |
| Third Party Tracking in the Mobile Ecosystem R Binns, U Lyngs, M Van Kleek, J Zhao, T Libert, N Shadbolt WebSci '18 Proceedings of the 10th ACM Conference on Web Science, 23-31, 2018 | 13 | 2018 |
| Measuring Third Party Tracker Power Across Web and Mobile R Binns, J Zhao, M Van Kleek, N Shadbolt ACM Transactions on Internet Technology (TOIT) 18 (4), 2018 | 9 | 2018 |
| Data protection impact assessments: A meta-regulatory approach R Binns International Data Privacy Law 7 (1), 22-35, 2017 | 9 | 2017 |
| The rise of social machines: the development of a human/digital ecosystem N Shadbolt, M Van Kleek, R Binns IEEE Consumer Electronics Magazine 5 (2), 106-111, 2016 | 9 | 2016 |
| Algorithms that remember: model inversion attacks and data protection law M Veale, R Binns, L Edwards Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018 | 8 | 2018 |
| Privacy Languages: Are we there yet to enable user controls? J Zhao, R Binns, M Van Kleek, N Shadbolt Proceedings of the 25th international conference companion on world wide web …, 2016 | 8 | 2016 |
| X-Ray Refine: supporting the exploration and refinement of information exposure resulting from smartphone apps M Van Kleek, R Binns, J Zhao, A Slack, S Lee, D Ottewell, N Shadbolt Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 7 | 2018 |
| When data protection by design and data subject rights clash M Veale, R Binns, J Ausloos International Data Privacy Law 8 (2), 105-123, 2018 | 7 | 2018 |
| So, Tell Me What Users Want, What They Really, Really Want! U Lyngs, R Binns, M Van Kleek, N Shadbolt Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018 | 6 | 2018 |
| Data havens, or privacy sans frontières?: a study of international personal data transfers RD Binns, D Millard, L Harris Proceedings of the 2014 ACM conference on Web science, 273-274, 2014 | 5 | 2014 |
| My bank already gets this data: Exposure minimisation and company relationships in privacy decision-making R Binns, J Zhao, M Van Kleek, N Shadbolt, I Liccardi, D Weitzner Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017 | 4 | 2017 |
| What Can Political Philosophy Teach Us about Algorithmic Fairness? R Binns IEEE Security & Privacy 16 (3), 73-80, 2018 | 3 | 2018 |
| Some HCI priorities for GDPR-compliant machine learning M Veale, R Binns, M Van Kleek arXiv preprint arXiv:1803.06174, 2018 | 3 | 2018 |
