<?xml version="1.0" encoding="UTF-8"?>
<crossref_result xmlns="http://www.crossref.org/qrschema/3.0" version="3.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/qrschema/3.0 http://www.crossref.org/schemas/crossref_query_output3.0.xsd">
  <query_result>
    <head>
      <doi_batch_id>none</doi_batch_id>
    </head>
    <body>
      <query status="resolved">
        <doi type="book_content">10.14361/9783839467107-011</doi>
        <crm-item name="publisher-name" type="string">Transcript Verlag</crm-item>
        <crm-item name="prefix-name" type="string">Transcript Verlag</crm-item>
        <crm-item name="member-id" type="number">5471</crm-item>
        <crm-item name="citation-id" type="number">157688537</crm-item>
        <crm-item name="book-id" type="number">4680465</crm-item>
        <crm-item name="series-id" type="number">3852662</crm-item>
        <crm-item name="deposit-timestamp" type="number">2024020611515629100</crm-item>
        <crm-item name="owner-prefix" type="string">10.14361</crm-item>
        <crm-item name="last-update" type="date">2026-06-01T14:29:10Z</crm-item>
        <crm-item name="created" type="date">2024-02-05T09:02:05Z</crm-item>
        <crm-item name="citedby-count" type="number">2</crm-item>
        <doi_record>
          <crossref xmlns="http://www.crossref.org/xschema/1.1" xsi:schemaLocation="http://www.crossref.org/xschema/1.1 http://doi.crossref.org/schemas/unixref1.1.xsd">
            <book book_type="edited_book">
              <book_series_metadata language="en">
                <series_metadata>
                  <titles>
                    <title>Edition Museum</title>
                  </titles>
                  <issn media_type="print">2702-3990</issn>
                  <issn media_type="electronic">2702-9026</issn>
                </series_metadata>
                <contributors>
                  <person_name sequence="first" contributor_role="editor">
                    <given_name>Sonja</given_name>
                    <surname>Thiel</surname>
                    <affiliation>Badisches Landesmuseum Karlsruhe, Deutschland</affiliation>
                    <ORCID authenticated="true">https://orcid.org/0000-0002-0443-3685</ORCID>
                  </person_name>
                  <person_name sequence="additional" contributor_role="editor">
                    <given_name>Johannes C.</given_name>
                    <surname>Bernhardt</surname>
                    <ORCID authenticated="true">https://orcid.org/0000-0002-1988-8957</ORCID>
                  </person_name>
                </contributors>
                <titles>
                  <title>AI in Museums</title>
                  <subtitle>Reflections, Perspectives and Applications</subtitle>
                </titles>
                <jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1">
                  <jats:p>Artificial intelligence is becoming an increasingly important topic in the cultural sector. While museums have long focused on building digital object databases, the existing data can now become a field of application for machine learning, deep learning and foundation model approaches. This goes hand in hand with new artistic practices, curation tools, visitor analytics, chatbots, automatic translations and tailor-made text generation. With a decidedly interdisciplinary approach, the volume brings together a wide range of critical reflections, practical perspectives and concrete applications of artificial intelligence in museums, and provides an overview of the current state of the debate.</jats:p>
                </jats:abstract>
                <volume>74</volume>
                <edition_number>1</edition_number>
                <publication_date media_type="print">
                  <month>12</month>
                  <day>12</day>
                  <year>2023</year>
                </publication_date>
                <publication_date media_type="online">
                  <month>12</month>
                  <day>04</day>
                  <year>2023</year>
                </publication_date>
                <isbn media_type="print">978-3-8376-6710-3</isbn>
                <isbn media_type="electronic">978-3-8394-6710-7</isbn>
                <publisher>
                  <publisher_name>transcript Verlag</publisher_name>
                  <publisher_place>Bielefeld, Germany</publisher_place>
                </publisher>
                <ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators">
                  <ai:free_to_read />
                  <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
                </ai:program>
                <doi_data>
                  <doi>10.14361/9783839467107</doi>
                  <resource>https://www.transcript-open.de/isbn/6710</resource>
                </doi_data>
              </book_series_metadata>
              <content_item component_type="chapter" publication_type="full_text">
                <contributors>
                  <person_name sequence="first" contributor_role="author">
                    <given_name>Baptiste</given_name>
                    <surname>Caramiaux</surname>
                    <ORCID authenticated="true">https://orcid.org/0000-0002-4590-106X</ORCID>
                  </person_name>
                </contributors>
                <titles>
                  <title>AI with Museums and Cultural Heritage</title>
                </titles>
                <jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1">
                  <jats:p>This paper discusses AI in the context of cultural heritage. First, I contextualize what we call AI, particularly with respect to infrastructure. With this representation in mind, my first objective is to outline the opportunities that AI can bring to these sec- tors, as identified in a series of reports and white papers edited by European institu- tions. In these reports, we have, however, barely grasped the need for stakeholders in these sectors to have their say on how they see this technology and how it should be integrated into their practice and organizations. My second objective is thus to highlight the fact that AI is not just a source of opportunities, as this would obscu- re the sociocultural and sociotechnical implications of integrating AI into existing practices.</jats:p>
                </jats:abstract>
                <publication_date media_type="print">
                  <month>12</month>
                  <day>12</day>
                  <year>2023</year>
                </publication_date>
                <publication_date media_type="online">
                  <month>12</month>
                  <day>04</day>
                  <year>2023</year>
                </publication_date>
                <pages>
                  <first_page>117</first_page>
                  <last_page>130</last_page>
                </pages>
                <ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators">
                  <ai:free_to_read />
                  <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
                </ai:program>
                <doi_data>
                  <doi>10.14361/9783839467107-011</doi>
                  <resource>https://www.transcript-open.de/doi/10.14361/9783839467107-011</resource>
                  <collection property="list-based" multi-resolution="unlock">
                    <item label="Inlibra" setbyID="tscr">
                      <resource>https://www.inlibra.com/10.14361/9783839467107-011</resource>
                    </item>
                  </collection>
                </doi_data>
                <citation_list>
                  <citation key="ref1">
                    <doi provider="crossref">10.2139/ssrn.2245322</doi>
                    <unstructured_citation>Barocas, Solon/ Hood, Sophie/Matle Ziewitz (2013). Provocation Piece | Governing Algorithms. Available online at https://governingalgorithms.org/resources/provocation-piece/ (all URLS here accessed in August 2023).</unstructured_citation>
                  </citation>
                  <citation key="ref2">
                    <doi provider="crossref">10.1093/sf/soz162</doi>
                    <unstructured_citation>Benjamin, Ruha (2019). Race after Technology: Abolitionist Tools for the New Jim Code. Cambridge/Medford, Polity.</unstructured_citation>
                  </citation>
                  <citation key="ref3">
                    <unstructured_citation>Buolamwini, Joy/Gebru, Timnit (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Conference on Fairness, Accountability and Transparency. PMLR, 77–91. Available online at https://proceedings.mlr.press/v81/buolamwini18a.html.</unstructured_citation>
                  </citation>
                  <citation key="ref4">
                    <unstructured_citation>Caramiaux, Baptiste/Lotte, Fabien/Geurst, Joost et al. (2019). AI in the Media and Creative Industries. ArXiv:1905.04175. https://doi.org/10.48550/arXiv.1905.04175.</unstructured_citation>
                  </citation>
                  <citation key="ref5">
                    <doi provider="crossref">10.23974/ijol.2020.vol5.1.162</doi>
                    <unstructured_citation>Coleman, Catherine Nicole (2020). Managing Bias when Library Collections Become Data. International Journal of Librarianship 5 (1), 8–19. https://doi.org/10.23974/ijol.2020.vol5.1.162. </unstructured_citation>
                  </citation>
                  <citation key="ref6">
                    <doi provider="crossref">10.12987/9780300252392</doi>
                    <unstructured_citation>Crawford, Kate (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven/London, Yale University Press. https://doi.org/10.12987/9780300252392.</unstructured_citation>
                  </citation>
                  <citation key="ref7">
                    <doi provider="crossref">10.3917/rac.015.0001</doi>
                    <unstructured_citation>Denis, Jérôme/ Pontille, David (2012). Travailleurs de l’écrit, matières de l’information. Revue d’anthropologie des connaissances 6 (1). https://doi.org/10.3917/rac.015.0001.</unstructured_citation>
                  </citation>
                  <citation key="ref8">
                    <unstructured_citation>French, Ariana/Villaespesa, Elena (2019). AI Visitor Experience, and Museum Operations: A Closer Look at the Possible. In: Humanizing the Digital: Unproceedings from the MCN 2018 Conference, 101–13. Available online at https://www.artsmetrics.com/wp-content/uploads/2019/10/AI-Visitor-Experience-and-Museum-Operations-A-closer-look-at-the-possible-.pdf.</unstructured_citation>
                  </citation>
                  <citation key="ref9">
                    <doi provider="crossref">10.1145/3351095.3372829</doi>
                    <unstructured_citation>Jo, Eun So/Gebru, Timnit (2020). Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning. In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 306–16. https://doi.org/10.1145/3351095.3372829.</unstructured_citation>
                  </citation>
                  <citation key="ref10">
                    <unstructured_citation>Neudecker, Clemens (2022). Cultural Heritage as Data: Digital Curation and Artificial Intelligence in Libraries. CEUR Workshop Proceedings, 3234. Available online at https://ceur-ws.org/Vol-3234/paper2.pdf.</unstructured_citation>
                  </citation>
                  <citation key="ref11">
                    <doi provider="crossref">10.2307/j.ctt1pwt9w5</doi>
                    <unstructured_citation>Noble, Safiya Umoja (2018). Algorithms of Oppression. New York, NYU Press. https://doi.org/10.2307/j.ctt1pwt9w5.</unstructured_citation>
                  </citation>
                  <citation key="ref12">
                    <unstructured_citation>O’Neil, Cathy (2017). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York, Crown.</unstructured_citation>
                  </citation>
                  <citation key="ref13">
                    <doi provider="crossref">10.1145/3476058</doi>
                    <unstructured_citation>Scheuerman, Morgan Klaus/Hanna, Alex/Denton, Emily (2021). Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. Proceedings of the ACM on Human‐Computer Interaction 5, CSCW2 (October 2021), 1–37. https://doi.org/10.1145/3476058.</unstructured_citation>
                  </citation>
                  <citation key="ref14">
                    <doi provider="crossref">10.1177/2053951717738104</doi>
                    <unstructured_citation>Seaver, Nick (2017). Algorithms as Culture: Some Tactics for the Ethnography of Algorithmic Systems. Big Data &amp; Society 4 (2). https://doi.org/10.1177/205395171773810.</unstructured_citation>
                  </citation>
                  <citation key="ref15">
                    <doi provider="crossref">10.1177/00027649921955326</doi>
                    <unstructured_citation>Star, Susan Leigh (1999). The Ethnography of Infrastructure. American Behavioral Scientist 43 (3), 377–91. https://doi.org/10.1177/00027649921955326.</unstructured_citation>
                  </citation>
                  <citation key="ref16">
                    <doi provider="crossref">10.1145/3488666</doi>
                    <unstructured_citation>Whittaker, Meredith (2021). The Steep Cost of Capture. Interactions 28 (6), 50–55. https://doi.org/10.1145/3488666.</unstructured_citation>
                  </citation>
                </citation_list>
              </content_item>
            </book>
          </crossref>
        </doi_record>
      </query>
    </body>
  </query_result>
</crossref_result>