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Proceedings of the 1st Workshop on Human-Centric Music Information Research Systems

Peter Knees; Andres Ferraro; Dmitry Bogdanov; Xavier Serra; Jason Yoon; Lorenzo Porcaro; Carlos Castillo; Emilia Gomez; Christine Bauer; Moritz Hübler; Finn Upham; Masoud Mansoury; Himan Abdollahpouri; Joris Rombouts; Mykola Pechenizkiy


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  <identifier identifierType="DOI">10.5281/zenodo.3547417</identifier>
  <creators>
    <creator>
      <creatorName>Peter Knees</creatorName>
      <affiliation>TU Wien</affiliation>
    </creator>
    <creator>
      <creatorName>Andres Ferraro</creatorName>
      <affiliation>Universitat Pompeu Fabra Barcelona</affiliation>
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      <creatorName>Dmitry Bogdanov</creatorName>
      <affiliation>Universitat Pompeu Fabra Barcelona</affiliation>
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    <creator>
      <creatorName>Xavier Serra</creatorName>
      <affiliation>Universitat Pompeu Fabra Barcelona</affiliation>
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    <creator>
      <creatorName>Jason Yoon</creatorName>
      <affiliation>Kakao Corp</affiliation>
    </creator>
    <creator>
      <creatorName>Lorenzo Porcaro</creatorName>
      <affiliation>Universitat Pompeu Fabra Barcelona</affiliation>
    </creator>
    <creator>
      <creatorName>Carlos Castillo</creatorName>
      <affiliation>Universitat Pompeu Fabra Barcelona</affiliation>
    </creator>
    <creator>
      <creatorName>Emilia Gomez</creatorName>
      <affiliation>Universitat Pompeu Fabra Barcelona</affiliation>
    </creator>
    <creator>
      <creatorName>Christine Bauer</creatorName>
      <affiliation>Johannes Kepler University Linz</affiliation>
    </creator>
    <creator>
      <creatorName>Moritz Hübler</creatorName>
      <affiliation>TU Wien</affiliation>
    </creator>
    <creator>
      <creatorName>Finn Upham</creatorName>
      <affiliation>McGill University</affiliation>
    </creator>
    <creator>
      <creatorName>Masoud Mansoury</creatorName>
      <affiliation>Eindhoven University of Technology, the Netherlands</affiliation>
    </creator>
    <creator>
      <creatorName>Himan Abdollahpouri</creatorName>
      <affiliation>University of Colorado Boulder, USA</affiliation>
    </creator>
    <creator>
      <creatorName>Joris Rombouts</creatorName>
      <affiliation>Eindhoven University of Technology, the Netherlands</affiliation>
    </creator>
    <creator>
      <creatorName>Mykola Pechenizkiy</creatorName>
      <affiliation>Eindhoven University of Technology, the Netherlands</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Proceedings of the 1st Workshop on Human-Centric Music Information Research Systems</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>fairness</subject>
    <subject>machine learning</subject>
    <subject>music information retrieval</subject>
    <subject>fat*</subject>
    <subject>music recommendation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-11-12</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Book</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3547417</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3547416</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/mir</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/mtgupf</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Technology and music have a centuries old history of coexistence: from luthiers to music information research. The emergence of machine learning for artificial intelligence in music technology has the potential to change the way music is experienced, learned, played and listened. This raises concerns related to its fair and transparent use, avoiding discrimination, designing sustainable experimental frameworks, and being aware of the biases the algorithms and datasets have. The first edition of the Workshop Designing Human-Centric Music Information Research systems aims at bringing together people interested in discussing the ethical implications of our technologies and proposing robust ways to assess our system for discrimination, sustainability, and transparency.&lt;/p&gt;

&lt;p&gt;We strongly believe that research on fairness, accountability, transparency advances through multi-disciplinary research. Thus, this first edition hosts two keynotes talks which bring a refreshing perspective from two different fields, economics and human-computer interaction. First, Luis Aguiar, University of Zurich, presents &amp;rdquo;Platforms, Promotion, and Product Discovery: Evidence from Spotify Playlists&amp;rdquo;. Second, Nava Tintarev, Delft University of Technology, presents &amp;rdquo;Supporting User Control for Music Recommendations&amp;rdquo;.&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
We would like to thank our keynote speakers and the participants for their insightful presentations and for contributing to the discussion. Finally, we would like to thank Jaehun Kim and Ginny Ruiter who assisted us in organizing the venue.&lt;/p&gt;</description>
  </descriptions>
</resource>
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