Reflections on the Financial and Ethical Implications of Music Generated by Artificial Intelligence
Citation:
Clancy, Martin, Reflections on the Financial and Ethical Implications of Music Generated by Artificial Intelligence, Trinity College Dublin.School of Creative Arts, 2021Download Item:
Abstract:
This work analyses the financial and ethical implications of music generated by Artificial
Intelligence (AI). The primary concern of this work relates to issues of employment in the
music industry challenged by AI technologies. A theoretical model of the ‘music ecosystem’
(containing philosophical contributions including ANT, UN SDGs and posthumanities) was
developed to address this concern and to study the complex engagement with AI technologies
among different actors.
AI music actors comprise three sectors: the academy, transnational corporations, and
start-up companies. The interlinked economic consequences of the creation and exploitation
of intellectual property (IP) by these sectors on the music ecosystem were examined.
To explore the legal complexities offered by AI music products and services, concepts of
legal personhood for AI, the status of non-human actors and relevant legal cases were
presented. It led to an observation that music copyright is not currently capable of responding
to the financial implications of AI. The work argues, instead, an equitable approach can only
occur through an ethical response from stakeholders of the music ecosystem.
To examine this ethical imperative, the thesis explored and built a commonality of socalled ‘human-centred’ ethical principles communicated in the major reports on AI
development (including the UN’s, EU’s and IEE’s). A case study of an AI music start-up
then showed how real-world frameworks can broker the financial and ethical entanglements
of AI in an equitable and pragmatic context. The thesis concludes that a globally recognised
and legislatively enforceable AI ‘music mark’ can be an important part of actionable
proposals that support a sustainable music ecosystem for all its human and non-human
members.
Author: Clancy, Martin
Advisor:
Duckworth, RichardAdams, Martin
Qualification name:
Doctor of PhilosophyType of material:
ThesisAvailability:
Full text availableKeywords:
Artificial intelligence, AI, Music ecosystem, Music industry, UN SDGs, Posthumanism, Transhumanism, Intellectual property, Music copyright, Legal personhood, AI ethics, Computer creativity, Jacques Attali, IEEE EAD, Music technology, Copyright infringement, Novacene, Ray Kurzweil, Machine learning, Deep learning, DeepMind, Sophia Android, Article 13, The value gap, Google Magenta, IBM Deep Blue, Sony Flow Machines, TikTok, DJ, Ableton, David Cope, Francisco Vico, Gil Weinberg, Emily Howell, James Lovelock, Narrow AI, AGI, Superintelligence, Concurrent Neural Networks, Martin Heidegger, The Singularity, Actor-Network Theory, Bruno Latour, Tencent, Jukedeck, Music authenticityMetadata
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