AES Show 2024 NY

Artificial intelligence (AI) and machine learning (ML) is revolutionizing the music industry, from creation to distribution to consumption. These technologies, and the rapid growth, raise complex legal issues that parties should be aware of to ethically foster innovation while protecting legal rights. This panel will explore the legal challenges and implications of AI in music and music tech, providing insights from industry experts, legal professionals, and technologists, including discussion of topics on intellectual property rights, data privacy, the regulatory landscape, and how to navigate the complex field. Join us for an insightful panel that delves into the intersection of AI, music, and law, offering practical guidance and perspectives on protecting rights, legally and ethically sourcing datasets, and navigating this rapidly evolving landscape.

Topics:
1. Intellectual Property Rights: Understanding copyright issues related to AI-generated music. Was the ML model dataset trained on copyrighted works? Did the company clear the rights to train the model on the material used? Who owns the rights to a song composed by an AI? To what extent, if any? What are the implications for sampling and remixing AI-generated content? How AI impacts the traditional models of licensing and royalties. What changes are necessary to ensure fair compensation for creators?
2. Data Privacy and Security: Addressing concerns about data used in training AI models for music tech. What are the best practices for protecting artists' and users' data? Is data collected and stored properly? Are proper company policies in place?
3. Regulatory Landscape: Reviewing current laws and proposed regulations affecting AI in the music industry. How are different jurisdictions approaching these issues, and what can we expect in the future? Discussing the EU AI Act and other regulations on the horizon.
4. Ethical and Legal Accountability: Exploring the responsibilities of AI developers and users in the music industry. How can we ensure ethical use of AI technologies in music creation and distribution?