<?xml version="1.0" encoding="UTF-8"?>
<record
    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"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>03114nam a22002891i 4500</leader>
  <controlfield tag="005">20201109105240.0</controlfield>
  <controlfield tag="008">201109t20202019mauoa||g  ||| 001 0 eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9780262043847</subfield>
    <subfield code="c">RM 148.80</subfield>
    <subfield code="q">hardback</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="a">PPAK</subfield>
    <subfield code="b">eng</subfield>
    <subfield code="c">PPAK</subfield>
    <subfield code="e">rda</subfield>
  </datafield>
  <datafield tag="082" ind1="0" ind2="4">
    <subfield code="2">23</subfield>
    <subfield code="a">006.301</subfield>
  </datafield>
  <datafield tag="090" ind1="0" ind2="0">
    <subfield code="a">006.301</subfield>
    <subfield code="b">NOU</subfield>
    <subfield code="d">G</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Nourbakhsh, Illah Reza</subfield>
    <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">AI and Humanity /</subfield>
    <subfield code="c">Illah Reza Nourbakhsh and Jennifer Keating</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="a">Cambridge, Massachusetts :</subfield>
    <subfield code="b">The MIT Press ,</subfield>
    <subfield code="c">2020</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="4">
    <subfield code="c">&#xA9;2019</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">xi, 143 pages :</subfield>
    <subfield code="b">photographs and illustration (black and white) ,</subfield>
    <subfield code="c">24 cm.</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="2">rdacontent</subfield>
    <subfield code="a">text</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="2">rdamedia</subfield>
    <subfield code="a">unmediated</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="2">rdacarrier</subfield>
    <subfield code="a">volume</subfield>
  </datafield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">Includes bibliographical references and index. </subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">Artificial Intelligence is having a new, outsized impact on our world, from politics and business to the economy. This book tackles AI using techniques from literary and cultural studies, formulating a new way of developing language and analyses for the impacts of AI on our humanity by combining the disciplines of the humanities with technical analysis from computer science in a single course reader. AI &amp; Humanity is authentically cross-disciplinary, and this is necessarily the right way to equip all students and citizens today to make sense of how AI is changing the world, and how they each, individually, have a role in ensuring that we bend the future in the best possible direction, in an age of rapidly advancing computational technologies. This book is suitable as a textbook for undergraduate students and is flexibly appropriate for both younger students and for more advanced coursework. It has been proven two years in a row in Carnegie Mellon Grand Challenge courses that draw upon freshman students in both the College of Humanities and the School of Computer Science, earning accolades from the diverse student body. It is appropriate for all students, requiring no specialized skills or background as prerequisite. As a course textbook, AI &amp; Humanity includes discussion questions, is chronologically laid out for a semester or trimester course, and includes rubrics and assignments spanning the whole class as examples for instructor customization. At the same time, this textbook is a reading guide. It contains deep literary and technical analysis, but includes reading assignments in a number of other texts, plays, movies artworks and documentaries. It develops a language across these reading sources, combining broad source work into a coherent understanding of the ways in which Artificial Intelligence is changing our humanity through a study of our own history of power negotiations; key words that derive cultural meaning; and futuring conceptualizations that provide commentary on our possible societal trajectories in movies and stories that are both contemporary and historical"--</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="0">
    <subfield code="a">Artificial intelligence</subfield>
    <subfield code="x">Philosophy.</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="0">
    <subfield code="a">Artificial intelligence</subfield>
    <subfield code="x">Social aspects.</subfield>
  </datafield>
  <datafield tag="650" ind1="2" ind2="0">
    <subfield code="a">Technology</subfield>
    <subfield code="x">Social aspects.</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
    <subfield code="a">Keating, Jennifer,</subfield>
    <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="2">ddc</subfield>
    <subfield code="c">B</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">179748</subfield>
    <subfield code="d">179748</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="b">PPAK</subfield>
    <subfield code="c">G</subfield>
    <subfield code="d">2020-11-12</subfield>
    <subfield code="l">1</subfield>
    <subfield code="o">006.301 NOU</subfield>
    <subfield code="p">A01661332</subfield>
    <subfield code="r">2024-04-18 09:27:30</subfield>
    <subfield code="s">2024-03-31</subfield>
    <subfield code="y">B</subfield>
  </datafield>
</record>
