Preprint10.17605/OSF.IO/WM6YKScience and Technology PolicyBusinessBusiness Law, Public Responsibility, and Ethics BusinessScience and Technology LawTechnology and InnovationBusiness IntelligencePrivacy LawComputer LawLawSocial and Behavioral SciencesPublic Affairs, Public Policy and Public AdministrationVeale, MichaelMichaelVealehttps://osf.io/6mec8/0000-0002-2342-8785Binns, ReubenReubenBinnshttps://osf.io/hpfe5/Van Kleek, MaxMaxVan Kleekhttps://osf.io/7vuxk/Some HCI Priorities for GDPR-Compliant Machine LearningLawArXiv20182018-03-19T13:22:17.370221+00:00https://osf.io/wm6ykCite as Michael Veale, Reuben Binns and Max Van Kleek (2018) Some HCI Priorities for GDPR-Compliant Machine Learning. The General Data Protection Regulation: An Opportunity for the CHI Community? (CHI-GDPR 2018), Workshop at ACM CHI'18, 22 April 2018, Montreal, Canada. In this short paper, we consider the roles of HCI in enabling the better governance of consequential machine learning systems using the rights and obligations laid out in the recent 2016 EU General Data Protection Regulation (GDPR)---a law which involves heavy interaction with people and systems. Focussing on those areas that relate to algorithmic systems in society, we propose roles for HCI in legal contexts in relation to fairness, bias and discrimination; data protection by design; data protection impact assessments; transparency and explanations; the mitigation and understanding of automation bias; and the communication of envisaged consequences of processing.CC-By Attribution 4.0 International