The Data Age Has Transformed Music with Aram Sinnreich & Jesse Gilbert
May 8, 2024
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Aram Sinnreich and Jesse Gilbert discuss how data is revolutionizing the music industry, from algorithmic music discovery to AI-generated music. They touch on the implications of data-driven music, like copyright concerns and increased collaboration in music making. The podcast explores the impact of data on culture, AI ethics, and historical community-building in the music industry.
Data is reshaping music discovery, tours, and AI-generated music, impacting every aspect of the music industry.
Challenges arise from demixing algorithms, data-driven decision-making, and the extraction of creative labor in music production.
Ethical considerations include consent, control, and fair compensation for artists in the era of data-driven technologies.
Deep dives
The Influence of Data on Music Industry Evolution
The podcast delves into how the music industry is adapting to the influx of data and technology. It highlights the shift towards data-driven decision-making and the challenges artists face in this evolving landscape. As society embraces data collection and analysis, the podcast raises questions about the impact on music creation, consumption, and industry operations, emphasizing the need to collectively navigate these transformations.
Different Types of Music Data
The podcast discusses various types of data relevant to music, including digital music formats, metadata, and AI-driven segmentation. It explores how data influences music production, post-production, and distribution processes, particularly in the era of streaming platforms. The conversation also touches on demixing algorithms and the extraction of creative labor, highlighting the impact on music creation and industry trends.
Understanding Audience Interaction with Music Data
The podcast explores the challenges of understanding audience behavior in the digital music landscape. It examines the limitations faced by musicians in accessing detailed information on audience consumption and engagement. The discussion highlights the prevalence of playlist-based streams and the feedback loop between data-driven services and musical content, shaping trends in the music industry.
Ethical Implications of AI and Data in Music Industry
The podcast addresses ethical considerations surrounding AI, data usage, and artist rights in the music industry. It emphasizes the need for consent, control, and fair compensation for creators in the era of data-driven technologies. The conversation reflects on the moral dilemmas arising from technological advancements and calls for a reevaluation of existing systems to ensure equitable treatment of artists.
Cultural Shifts and Collaborations in Music Production
The podcast explores the cultural shifts and collaborative possibilities influenced by data-driven technologies in music production. It considers the impact of algorithms on artistic processes and highlights the potential for new aesthetic practices. By revisiting historical examples of innovation and community collaboration, the discussion envisions a future where technology supports diverse and liberating expressions in music creation.
The age of Mass Data is here. From music discovery based on algorithms, to small artists using fan location data to plan tours, to AI-generated music, data is changing just about every aspect of the music industry. In this episode, Tristra talks to Aram Sinnreich and Jesse Gilbert, authors of The Secret Life of Data. Jesse and Aram show us that today’s music and culture is increasingly set by data. We discuss the scary implications of this new age, how AI-models learning from musicians brings a host of worries around copyright and exploitation. But we also discuss the exciting possibilities, including an explosion in collaboration in music making.
The Music Tectonics podcast goes beneath the surface of the music industry to explore how technology is changing the way business gets done. Visit musictectonics.com to find shownotes and a transcript for this episode, and find us on LinkedIn, Twitter, and Instagram. Let us know what you think!
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