IDEAS home Printed from
   My bibliography  Save this article

Artificial Intelligence And Law: A Review Of The Role Of Correctness In The General Data Protection Regulation Framework


  • Sorina Mihaela BALAN

    (University of Dimitrie Cantemir, Tirgu Mures, ROMANIA.)


Interest in Artificial Intelligence (AI) research has increased rapidly in recent years, largely due to the many successes of modern machine learning techniques such as deep learning, the availability of large datasets and improvements in computing power. AI is becoming more and more applicable to healthcare and there is a growing list of tasks where the algorithms have matched or exceeded physician performance. Despite the successes, there remain significant concerns and challenges related to the opacity of the algorithm, trust and security of patient data. Despite these challenges, AI technologies will become more and more integrated, for example in emergency medicine in the next years. In 2017, there were many EU and UK legislative initiatives and proposals on the analysis and the impact of artificial intelligence on society, issues of responsibility, legal personality, ethical and legal issues, in the context of increasing volume processing higher data. Since March 2017, the Information Commissioner's Office (UK) has updated its database guide for the development of artificial intelligence and machine learning and to provide GDPR since 25 May 2018. The key challenge for artificial intelligence in personal data processing is to establish that such processing is correct, even with negative social consequences, which are not treated differently by GDPR. The question of the correctness of the regulatory framework is an important part to address the imbalance between big data organisations and personal data subjects, with a series of social and ethical effects to be assessed.

Suggested Citation

  • Sorina Mihaela BALAN, 2019. "Artificial Intelligence And Law: A Review Of The Role Of Correctness In The General Data Protection Regulation Framework," Curentul Juridic, The Juridical Current, Le Courant Juridique, Petru Maior University, Faculty of Economics Law and Administrative Sciences and Pro Iure Foundation, vol. 76, pages 45-53, March.
  • Handle: RePEc:pmu:cjurid:v:76:y:2019:p:45-53

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Artificial Intelligence (AI); General Data; Protection Regulation (GDPR-2016/679); Big Data analytics; Regulations; Collective rights.;
    All these keywords.

    JEL classification:

    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pmu:cjurid:v:76:y:2019:p:45-53. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bogdan Voaidas (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.