Stanley Greenstein

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Title: LL.D. in Law and Information Technology
Telephone: +46 8 16 25 98
E-mail: stanley.greenstein@juridicum.su.se

Presentation

Stanley Greenstein is a researcher and lecturer in law and information technology at the Department of Law, Stockholm University. Stanley is a Junior Lecturer (Adjunkt) at the Department of Law and in 2017 was awarded the LL.D. degree in Law and Information Technology from Stockholm University. He has a Bachelor of Arts and Bachelor of Laws degree from the University of Cape Town, South Africa. He has a Master in Law and IT degree from Stockholm University as well as a computer networking background. He has been a co-worker at the Swedish Law and Informatics Research Institute (IRI) since 2006.

Stanley teaches and leads seminars as part of the undergraduate course ‘rättsinformatik’ at Stockholm University. He is the course director of the optional course called Law and Information Communication Technology (ICT). He supervises theses, teaches on various optional courses at the Department of law and is regularly invited to take part in conferences. He is a member of the Swedish Society for IT and Law (Siju) election committee and sits on the Board of The Trust for Legal Information (Stiftelsen för Rättsinformation).

Doctoral Project

Our Humanity Exposed: Predictive Modelling in a Legal Context
Predictive modelling is exposing our humanity. Based on applied statistics, mathematics, machine learning and artificial intelligence, it uses algorithms to analyse big data and identify patterns invisible to humans. The knowledge is then incorporated into computer models, and used to identify and predict human activity – allowing for the manipulation of human behaviour. Predictive modelling is a powerful tool used by companies to identify business risks and opportunities. But its use can result in harms to the individual, especially in relation to personal autonomy.

This thesis examines predictive modelling from a legal perspective. It ascertains to what extent legal regimes address the threats to personal autonomy from the use of predictive models. In particular, it analyses Article 8 of the European Convention on Human Rights (ECHR) as well as the General Data Protection Regulation (GDPR) adopted by the EU. Considering the shortcomings of traditional legal instruments, a strategy of ‘empowerment’ is suggested aimed at levelling the playing field between companies and individuals. Is there a way to strengthen humanity as predictive modelling continues to develop?

Publications

Greenstein, Stanley (red.), Vem reglerar informationssamhället?, Nordisk årsbok i rättsinformatik 2006 – 2008, Jure AB, Stockholm 2010.

Svantesson, Dan Jerker B. and Greenstein, Stanley (eds.), Internationalisation of Law in the Digital Information Society, Nordic yearbook of law and informatics 2010-2012, Ex Tuto, 2012.

Greenstein, Stanley, Our Humanity Exposed: Predictive Modelling in a Legal Context, Dissertation in Law and Information Technology, Department of Law, Stockholm University, Stockholm, 2017, available at http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-141657.