<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>The impact of the General Data Protection Regulation (GDPR) on artificial intelligence</title>
  </titleInfo>
  <name type="personal">
    <namePart>Sartor, Giovanni</namePart>
  </name>
  <name type="corporate">
    <namePart>Parlamento Europeo</namePart>
    <namePart>Dirección General de Servicios de Estudios Parlamentarios.</namePart>
    <namePart>Unidad de Prospectiva Científica.</namePart>
    <role>
      <roleTerm type="text">STOA</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Parlamento Europeo</namePart>
    <namePart>Dirección General de Servicios de Estudios Parlamentarios</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="text">Brussels</placeTerm>
    </place>
    <publisher>European Union</publisher>
    <dateIssued>June 2020</dateIssued>
    <dateIssued encoding="marc">2020</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>99 pág.</extent>
  </physicalDescription>
  <abstract>The   study  discusses  the   tensions   and   proximities  between AI  and data  protection principles, such as in particular purpose limitation and data minimisation. It   makes  a  thorough  analysis   of  automated  decision-making, considering the extent to which it is admissible, the  safeguard measures  to be  adopted, and  whether data  subjects have  a  right to  individual  explanations. The study then considers the extent to which the GDPR provides for a preventive risk-based approach, focused on data protection by design and by default.</abstract>
  <targetAudience authority="marctarget">adult</targetAudience>
  <subject authority="lcsh">
    <topic>Inteligencia Artificial</topic>
  </subject>
  <subject>
    <topic>AI</topic>
  </subject>
  <subject>
    <topic>general data protection regulation</topic>
  </subject>
  <subject>
    <topic>GDPR</topic>
  </subject>
  <subject>
    <topic>AI application</topic>
  </subject>
  <subject>
    <topic>personal data</topic>
  </subject>
  <subject>
    <topic>data protection principles</topic>
  </subject>
  <relatedItem type="series">
    <titleInfo>
      <title>EPRS Studies</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn"> 978-92-8 46-6 771-0 </identifier>
  <identifier type="uri">https://www.europarl.europa.eu/RegData/etudes/STUD/2020/641530/EPRS_STU(2020)641530_EN.pdf</identifier>
  <identifier type="uri">https://www.europarl.europa.eu/stoa/en/document/EPRS_STU(2020)641530</identifier>
  <location>
    <url displayLabel="Acceso al documento">https://www.europarl.europa.eu/RegData/etudes/STUD/2020/641530/EPRS_STU(2020)641530_EN.pdf</url>
  </location>
  <location>
    <url displayLabel="Información relacionada">https://www.europarl.europa.eu/stoa/en/document/EPRS_STU(2020)641530</url>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">ES-MaONT</recordContentSource>
    <recordCreationDate encoding="marc">200630</recordCreationDate>
    <recordChangeDate encoding="iso8601">20240117092034.0</recordChangeDate>
    <recordIdentifier source="ES-MaONT">00006031</recordIdentifier>
  </recordInfo>
</mods>
