The Ethics of Artificial Intelligence

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000cam a22000004b 4500</leader>
    <controlfield tag="001">MAP20190003803</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20230321114619.0</controlfield>
    <controlfield tag="008">190205s2019    usa||||       ||| ||eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
      <subfield code="d">MAP</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">922.13</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="4">
      <subfield code="a">The Ethics of Artificial Intelligence</subfield>
      <subfield code="c">McKinsey & Company</subfield>
    </datafield>
    <datafield tag="260" ind1=" " ind2=" ">
      <subfield code="a">New York</subfield>
      <subfield code="b">McKinsey & Company</subfield>
      <subfield code="c">2019</subfield>
    </datafield>
    <datafield tag="300" ind1=" " ind2=" ">
      <subfield code="a">14 p.</subfield>
    </datafield>
    <datafield tag="500" ind1=" " ind2=" ">
      <subfield code="a">Podcast transcript</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Executives and companies can enjoy the benefits of artificial intelligence while also being aware of potential drawbacks and taking careful steps to mitigate their effects.
In this episode of the McKinsey Podcast, Simon London speaks with McKinsey Global Institute partner Michael Chui and partner Chris Wigley about the ethical implications of artificial intelligence (AI) and how executives can engage more thoughtfully on the use of AI and its potential repercussions</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080611200</subfield>
      <subfield code="a">Inteligencia artificial</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080538668</subfield>
      <subfield code="a">Ética</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080623791</subfield>
      <subfield code="a">Tecnología de la información</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080626822</subfield>
      <subfield code="a">Creación de valor en la empresa</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20170006503</subfield>
      <subfield code="a">Transformación digital</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20170002338</subfield>
      <subfield code="a">London, Simon</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20090036185</subfield>
      <subfield code="a">Chui, Michael</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20190001489</subfield>
      <subfield code="a">Wigley, Chris</subfield>
    </datafield>
    <datafield tag="710" ind1="2" ind2=" ">
      <subfield code="0">MAPA20080442569</subfield>
      <subfield code="a">McKinsey & Company</subfield>
    </datafield>
  </record>
</collection>