Reuben Binns
Dr Reuben Binns
Wolfson Building, Parks Road, Oxford OX1 3QD
Themes:
Biography
Since October 2015, I am a postdoctoral researcher in Computer Science at the University of Oxford. I am currently funded by the EPSRC's PETRAS Internet of Things Research Hub project 'Respectful Things in Private Spaces'. My research interests include technical, legal and ethical aspects of privacy, machine learning, and decentralised systems. From 2011-2015 I undertook a PhD in Web Science at the University of Southampton. My recent work has focused on two strands: human factors of third-party tracking on the web, mobile and Internet-of-Things devices; and transparency, fairness and accountability in profiling and machine learning.
Most of my recent papers can be found on Scholar.
Selected Publications
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Informing the Design of Privacy−Empowering Tools for the Connected Home
William Seymour Martin J. Kraemer Reuben Binns and Max Van Kleek
In 2020 CHI Conference on Human Factors in Computing Systems. 2020.
Details about Informing the Design of Privacy−Empowering Tools for the Connected Home | BibTeX data for Informing the Design of Privacy−Empowering Tools for the Connected Home | Download (pdf) of Informing the Design of Privacy−Empowering Tools for the Connected Home | DOI (10.1145/3313831.3376264)
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Some HCI Priorities for GDPR−Compliant Machine Learning
Michael Veale‚ Reuben Binns and Max Van Kleek
In arXiv preprint arXiv:1803.06174. 2018.
Details about Some HCI Priorities for GDPR−Compliant Machine Learning | BibTeX data for Some HCI Priorities for GDPR−Compliant Machine Learning
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X−ray refine: Supporting the exploration and refinement of information exposure resulting from smartphone apps
M Van Kleek‚ RDP Binns‚ J Zhao‚ A Slack‚ S Lee‚ D Ottewell and N Shadbolt
2018.
Details about X−ray refine: Supporting the exploration and refinement of information exposure resulting from smartphone apps | BibTeX data for X−ray refine: Supporting the exploration and refinement of information exposure resulting from smartphone apps