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  • 1.
    Greenstein, Stanley
    Stockholm University, Faculty of Law, Department of Law.
    At the Mercy of Prediction in the Age of Predictive Models and Scoring2018In: Scandinavian Studies in Law, ISSN 0085-5944, Vol. 65, p. 197-211Article in journal (Other academic)
  • 2.
    Greenstein, Stanley
    Stockholm University, Faculty of Law, Department of Law.
    Legal Status of Standardization2010In: Kluwer International Encyclopedia of Cyber Law: Sweden / [ed] Christine Kirchberger, Netherlands: Kluwer , 2010, p. 82-86Chapter in book (Other academic)
  • 3.
    Greenstein, Stanley
    Stockholm University, Faculty of Law, Department of Law.
    Our Humanity Exposed: Predictive Modelling in a Legal Context2017Doctoral thesis, monograph (Other academic)
    Abstract [en]

    This thesis examines predictive modelling from the legal perspective. Predictive modelling is a technology based on applied statistics, mathematics, machine learning and artificial intelligence that uses algorithms to analyse big data collections, and identify patterns that are invisible to human beings. The accumulated knowledge is incorporated into computer models, which are then used to identify and predict human activity in new circumstances, allowing for the manipulation of human behaviour.

    Predictive models use big data to represent people. Big data is a term used to describe the large amounts of data produced in the digital environment. It is growing rapidly due mainly to the fact that individuals are spending an increasing portion of their lives within the on-line environment, spurred by the internet and social media. As individuals make use of the on-line environment, they part with information about themselves. This information may concern their actions but may also reveal their personality traits.

    Predictive modelling is a powerful tool, which private companies are increasingly using to identify business risks and opportunities. They are incorporated into on-line commercial decision-making systems, determining, among other things, the music people listen to, the news feeds they receive, the content people see and whether they will be granted credit. This results in a number of potential harms to the individual, especially in relation to personal autonomy.

    This thesis examines the harms resulting from predictive modelling, some of which are recognized by traditional law. Using the European legal context as a point of departure, this study ascertains to what extent legal regimes address the use of predictive models and the threats to personal autonomy. In particular, it analyses Article 8 of the European Convention on Human Rights (ECHR) and the forthcoming General Data Protection Regulation (GDPR) adopted by the European Union (EU). Considering the shortcomings of traditional legal instruments, a strategy entitled ‘empowerment’ is suggested. It comprises components of a legal and technical nature, aimed at levelling the playing field between companies and individuals in the commercial setting. Is there a way to strengthen humanity as predictive modelling continues to develop?

  • 4.
    Greenstein, Stanley
    Stockholm University, Faculty of Law, Department of Law.
    Regulation of Cryptography and other Dual-Use Products2010In: Kluwer International Encyclopedia of Cyber Law: Sweden / [ed] Christine Kirchberger, Netherlands: Kluwer , 2010, p. 76-81Chapter in book (Other academic)
  • 5.
    Greenstein, Stanley
    Stockholm University, Faculty of Law, Department of Law.
    The Utilization of Information Technology Solutions as a Response to Present Challenges2011In: European Journal of Law and Technology, ISSN 2042-115X, E-ISSN 2042-115X, Vol. 2, no 1, p. 1-6Article in journal (Other academic)
  • 6.
    Greenstein, Stanley
    Stockholm University, Faculty of Law, Department of Law, The Swedish Law and Informatics Research Institute.
    Vem reglerar informationssamhället?2010Collection (editor) (Other academic)
    Abstract [sv]

    Den 23:e Nordiska konferensen i rättsinformatik ägde rum i Stockholm 2008 och tog sig an temat ”IT Regulations and Policies: from Theory into Practice”. Huvudsyftet med konferensen var att formulera en juridisk agenda för reglering av IT och policy. De frågor som behandlades rörde bland annat hur man bör balansera kraven på ökad juridisk reglering och hur man bör ta hänsyn till de röster som vill ha mindre regler i informationssamhället. Därtill diskuterades vilka juridiska angreppssätt som är mest lämpliga.

    Konferensen tog också upp problem som har blivit relevanta som en följd av samhällets användning av informations- och kommunikationsteknologi, bland annat: 

    • Hur den personliga integriteten ter sig i framtiden.
    • Hur immaterialrätten påverkas i informationssamhället.
    • Hur man kan skydda den personliga integriteten och samtidigt främja informationssäkerheten.
    • Vad begrepp som semantic web och sociala media har för betydelse för utvecklingen av juristers informationssökning.
    • Hur kunskapshanteringssystem kommer att fungera i framtiden. 

    I denna utgåva av Nordisk årsbok i rättsinformatik presenteras bidrag från flera av de talare som medverkade på konferensen. Boken belyser på så vis både aktuella frågor och utvecklingstendenser i informationssamhället.

  • 7. Svantesson, Dan Jerker B.
    et al.
    Greenstein, StanleyStockholm University, Faculty of Law, Department of Law, The Swedish Law and Informatics Research Institute. Stockholm University.
    Internationalisation of Law in the Digital Information Society2013Collection (editor) (Other academic)
1 - 7 of 7
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