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1<meta name=description content="Artificial intelligence (AI) has become central to debates about the future of music, particularly with the rise of generative systems and their societal, economic, cultural, and legal implications. Public and policy discourse, however, often follows commercial narratives that narrow musicâAI to automated generation and treat music primarily as data or commodified output. This obscures both the broader range of AI applications in music and the longâstanding contributions and responsibilities of the music information retrieval (MIR) community. Addressed primarily to this community, the article argues that MIR is well positioned to contribute to current debates on trustworthy musicâAI but must also critically examine the limitations of its own research practices and incentives. We briefly situate MIRâs methodological development, applications, and shared infrastructures, emphasizing the culturally and socially situated character of music data. We then examine ethical, legal, and governance challenges in musicâAI and propose transparency, accountability, provenance, and sustainability as criteria for assessing current practice and guiding future work. Finally, we identify six interconnected priorities: missionâoriented collaboration; sustainable open infrastructures; rigorous and contextâsensitive evaluation; cultural diversity and responsibility; engagement across research, industry, policy, and society; and interdisciplinary education and mutual capacityâbuilding. We conclude by identifying ways in which the MIR community can translate these priorities into practice through its research, infrastructures, evaluation and publication processes, educational activities, and engagement with musical, industry, policy, and civil society communities."><link rel=alternate hreflang=en-us href=https://evazangerle.at/publication/serra-tismir-2026/><link rel=canonical href=https://evazangerle.at/publication/serra-tismir-2026/><link rel=manifest href=/manifest.webmanifest><link rel=icon type=image/png href=/media/icon_hu15160663797846276485.png><link rel=apple-touch-icon type=image/png href=/media/icon_hu12043829570639752632.png><meta name=theme-color content="#1565c0"><meta property="twitter:card" content="summary"><meta property="twitter:image" content="https://evazangerle.at/media/icon_hu9002677103972937553.png"><meta property="og:type" content="article"><meta property="og:site_name" content="Eva Zangerle"><meta property="og:url" content="https://evazangerle.at/publication/serra-tismir-2026/"><meta property="og:title" content="AI and Music at a Crossroads: The Role of the Music Information Retrieval (MIR) Community in Shaping Trustworthy, Open, and Culturally Inclusive MusicâAI | Eva Zangerle"><meta property="og:description" content="Artificial intelligence (AI) has become central to debates about the future of music, particularly with the rise of generative systems and their societal, economic, cultural, and legal implications. Public and policy discourse, however, often follows commercial narratives that narrow musicâAI to automated generation and treat music primarily as data or commodified output. This obscures both the broader range of AI applications in music and the longâstanding contributions and responsibilities of the music information retrieval (MIR) community. Addressed primarily to this community, the article argues that MIR is well positioned to contribute to current debates on trustworthy musicâAI but must also critically examine the limitations of its own research practices and incentives. We briefly situate MIRâs methodological development, applications, and shared infrastructures, emphasizing the culturally and socially situated character of music data. We then examine ethical, legal, and governance challenges in musicâAI and propose transparency, accountability, provenance, and sustainability as criteria for assessing current practice and guiding future work. Finally, we identify six interconnected priorities: missionâoriented collaboration;
1 sustainable open infrastructures; rigorous and contextâsensitive evaluation; cultural diversity and responsibility; engagement across research, industry, policy, and society; and interdisciplinary education and mutual capacityâbuilding. We conclude by identifying ways in which the MIR community can translate these priorities into practice through its research, infrastructures, evaluation and publication processes, educational activities, and engagement with musical, industry, policy, and civil society communities."><meta property="og:image" content="https://evazangerle.at/media/icon_hu9002677103972937553.png"><meta property="og:locale" content="en-us"><meta property="article:published_time" content="2026-09-29T04:15:51+00:00"><meta property="article:modified_time" content="2026-09-01T00:00:00+00:00">
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1<title>AI and Music at a Crossroads: The Role of the Music Information Retrieval (MIR) Community in Shaping Trustworthy, Open, and Culturally Inclusive MusicâAI | Eva Zangerle</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents class=page-wrapper data-wc-page-id=74935bdab90098fd7b70c7eb373707ca>
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1<aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class="page-header header--fixed"><header><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Eva Zangerle</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation"> 2<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/>Eva Zangerle</a></div><div class="navbar-collapse main-menu-item collapse justify-content-start" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/#about><span>Home</span></a></li><li class=nav-item><a class=nav-link href=/#news><span>News</span></a></li><li class=nav-item><a class=nav-link href=/#publications><span>Publications</span></a></li><li class=nav-item><a class=nav-link href=/#projects><span>Projects</span></a></li><li class=nav-item><a class=nav-link href=/#service><span>Service</span></a></li><li class=nav-item><a class=nav-link href=/#contact><span>Contact</span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=# aria-label=Search><i class="fas fa-search" aria-hidden=true></i></a></li><li class="nav-item dropdown theme-dropdown"><a href=# class=nav-link data-toggle=dropdown aria-haspopup=true aria-label="Display preferences"><i class="fas fa-moon" aria-hidden=true></i></a><div class=dropdown-menu><a href=# class="dropdown-item js-set-theme-light"><span>Light</span> 3</a><a href=# class="dropdown-item js-set-theme-dark"><span>Dark</span> 4</a><a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></header></div><div class=page-body><div class=pub><div class="article-container pt-3"><h1>AI and Music at a Crossroads: The Role of the Music Information Retrieval (MIR) Community in Shaping Trustworthy, Open, and Culturally Inclusive MusicâAI</h1><div class=article-metadata><div><span>Xavier Serra</span>, <span>Vinoo Alluri</span>, <span>Stefan Balke</span>, <span>Juan Pablo Bello</span>, <span>Emmanouil Benetos</span>, <span>Dmitry Bogdanov</span>, <span>Johanna Devaney</span>, <span>Simon Dixon</span>, <span>Zhiyao Duan</span>, <span>George Fazekas</span>, <span>Arthur Flexer</span>, <span>Frederic Font</span>, <span>Magdalena Fuentes</span>, <span>Ichiro Fujinaga</span>, <span>Emilia Gómez</span>, <span>Masataka Goto</span>, <span>Romain Hennequin</span>, <span>Dorien Herremans</span>, <span>Xiao Hu</span>, <span>Dasaem Jeong</span>, <span>Peter Knees</span>, <span>Filip Korzeniowski</span>, <span>Stefan Lattner</span>, <span>Jin Ha Lee</span>, <span>Alexander Lerch</span>, <span>Cynthia Liem</span>, <span>Brian McFee</span>, <span>Emilio Molina</span>, <span>Meinard Müller</span>, <span>Tomoyasu Nakano</span>, <span>Juhan Nam</span>, <span>Oriol Nieto</span>, <span>Sergio Oramas</span>, <span>Bryan Pardo</span>, <span>Geoffroy Peeters</span>, <span>Preeti Rao</span>, <span>Gaël Richard</span>, <span>MartÃn Rocamora</span>, <span>Ajay Srinivasamurthy</span>, <span>Li Su</span>, <span>Bob L. T. Sturm</span>, <span>George Tzanetakis</span>, <span>Anja Volk</span>, <span>Ye Wang</span>, <span>Gerhard Widmer</span>, <span>Frans Wiering</span>, <span>Christof WeiÃ</span>, <span>Yi-Hsuan Yang</span>, <span>Eva Zangerle</span></div><span class=article-date>September, 2026</span></div><div class="btn-links mb-3"><a href=# class="btn btn-outline-primary btn-page-header js-cite-modal" data-filename=/publication/serra-tismir-2026/cite.bib>Cite 5</a><a class="btn btn-outline-primary btn-page-header" href=https://doi.org/10.5334/tismir.372 target=_blank rel=noopener>DOI</a></div></div><div class=article-container><h3>Abstract</h3><p class=pub-abstract>Artificial intelligence (AI) has become central to debates about the future of music, particularly with the rise of generative systems and their societal, economic, cultural, and legal implications. Public and policy discourse, however, often follows commercial narratives that narrow musicâAI to automated generation and treat music primarily as data or commodified output. This obscures both the broader range of AI applications in music and the longâstanding contributions and responsibilities of the music information retrieval (MIR) community. Addressed primarily to this community, the article argues that MIR is well positioned to contribute to current debates on trustworthy musicâAI but must also critically examine the limitations of its own research practices and incentives. We briefly situate MIRâs methodological development, applications, and shared infrastru
5ctures, emphasizing the culturally and socially situated character of music data. We then examine ethical, legal, and governance challenges in musicâAI and propose transparency, accountability, provenance, and sustainability as criteria for assessing current practice and guiding future work. Finally, we identify six interconnected priorities: missionâoriented collaboration; sustainable open infrastructures; rigorous and contextâsensitive evaluation; cultural diversity and responsibility; engagement across research, industry, policy, and society; and interdisciplinary education and mutual capacityâbuilding. We conclude by identifying ways in which the MIR community can translate these priorities into practice through its research, infrastructures, evaluation and publication processes, educational activities, and engagement with musical, industry, policy, and civil society communities.</p><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Type</div><div class="col-12 col-md-9"><a href=/publication/#article-journal>Journal article</a></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=row><div class=col-md-1></div><div class=col-md-10><div class=row><div class="col-12 col-md-3 pub-row-heading">Publication</div><div class="col-12 col-md-9"><em>Transactions of the International Society for Music Information Retrieval</em></div></div></div><div class=col-md-1></div></div><div class="d-md-none space-below"></div><div class=space-below></div><div class=article-style></div><div class=share-box><ul class=share><li><a href="https://twitter.com/intent/tweet?url=https%3A%2F%2Fevazangerle.at%2Fpublication%2Fserra-tismir-2026%2F&text=AI+and+Music+at+a+Crossroads%3A+The+Role+of+the+Music+Information+Retrieval+%28MIR%29+Community+in+Shaping+Trustworthy%2C+Open%2C+and+Culturally+Inclusive+Music%E2%80%91AI" target=_blank rel=noopener class=share-btn-twitter aria-label=twitter><i class="fab fa-twitter"></i></a></li><li><a href="https://www.facebook.com/sharer.php?u=https%3A%2F%2Fevazangerle.at%2Fpublication%2Fserra-tismir-2026%2F&t=AI+and+Music+at+a+Crossroads%3A+The+Role+of+the+Music+Information+Retrieval+%28MIR%29+Community+in+Shaping+Trustworthy%2C+Open%2C+and+Culturally+Inclusive+Music%E2%80%91AI" target=_blank rel=noopener class=share-btn-facebook aria-label=facebook><i class="fab fa-facebook"></i></a></li><li><a href="mailto:?subject=AI%20and%20Music%20at%20a%20Crossroads%3A%20The%20Role%20of%20the%20Music%20Information%20Retrieval%20%28MIR%29%20Community%20in%20Shaping%20Trustworthy%2C%20Open%2C%20and%20Culturally%20Inclusive%20Music%E2%80%91AI&body=https%3A%2F%2Fevazangerle.at%2Fpublication%2Fserra-tismir-2026%2F" target=_blank rel=noopener class=share-btn-email aria-label=envelope><i class="fas fa-envelope"></i></a></li><li><a href="https://www.linkedin.com/shareArticle?url=https%3A%2F%2Fevazangerle.at%2Fpublication%2Fserra-tismir-2026%2F&title=AI+and+Music+at+a+Crossroads%3A+The+Role+of+the+Music+Information+Retrieval+%28MIR%29+Community+in+Shaping+Trustworthy%2C+Open%2C+and+Culturally+Inclusive+Music%E2%80%91AI" target=_blank rel=noopener class=share-btn-l
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