@article{41759,
      author = {Drozdz, Aleksandra.},
      url = {http://tind.wipo.int/record/41759},
      title = {Protection of Natural Persons with Regard to Automated  Individual Decision-Making in the GDPR /},
      abstract = {Protection of Natural Persons with Regard to Automated  Individual Decision-Making in the GDPR describes and  analyses the GDPR aimed at protecting natural persons with  regard to automated individual decision-making. The  book’s objective is to examine whether this legislative  act affords sufficient protection of natural persons with  regard to such processing. Increasingly, algorithms  regulate our lives. Personal data is routinely processed on  an unprecedented scale in both private and public sectors.  This shift from more subjective and less structured human  decision-making processes to automated ones has provoked  numerous concerns with regard to the rights and freedoms of  natural persons affected. In particular, those attached to  profiling that can lead to discrimination influencing  crucial opportunities of individuals, such as the ability  to obtain credit, insurance, education, a job or even  medical treatment. To the extent that automated individual  decision-making is based on personal data, in the European  Union it is subject to the GDPR.  What’s in this book:   The author aims at identifying the loopholes that hinder or  prevent its efficacy and the de lege lata rules and de lege  ferenda postulates that could provide individuals with  effective protection in relation to automated individual  decision-making. She provides an in-depth analysis of such  aspects as the following:  the GDPR’s background,  terminology and material and territorial scope of  application; key concerns regarding automated individual  decision-making; specific and general provisions of the  GDPR relevant to protection of natural persons with regard  to automated individual decision-making; special and  general rights of the data subject relevant to automated  individual decision-making provided for in the GDPR; key  limitations to algorithmic transparency; how profiling can  create special categories of personal data by inference  from ‘ordinary’ personal data; and how the version of  reality derived from personal data is often at least  partially inaccurate. To interpret the rules of the GDPR,  the analysis draws on the travaux préparatoires, case law  of the Court of Justice of the European Union and national  courts that concern the previous Data Protection Directive,  guidelines and opinions of the Article 29 Working Party and  the European Data Protection Board, various reports and  recommendations and numerous academic writings.  How this  will help you:  In its consideration of some of the most  controversial issues in the realm of personal data  protection, this book represents a major contribution to  research and legal guidance at the confluence of law and  new technologies concerning algorithmic accountability.  Policymakers, regulators and lawyers active in the ongoing  development of personal data protection law will become  knowledgeable about interpretations and guidelines  formulated by European data-protection authorities.  Understanding the current challenges related to protection  of natural persons with regard to automated individual  decision-making in the GDPR, the analysis carried out in  this book will assist data-protection authorities and  judicature in assessing such systems and interpreting the  GDPR framework in the years to come.},
      recid = {41759},
      pages = {xviii, 158 pages :},
}