Assessing AI-generated music detection in real-world broadcast monitoring
The proliferation of AI-generated music in broadcast media raises concerns about transparency and fair compensation, but reliable detection under real broadcast conditions remains unresolved. Existing studies report substantial performance degradation in this domain, yet their evaluations are limited to synthetic broadcast data. To address this gap, we introduce BAMM (Broadcast AI-Music Monitoring), a 40-hour dataset of real-world television recordings containing AI-generated and human-made musi
Record details
Published: 7 August 2026
Source: arXiv
Category: Research
Topics: Transparency
Retrieved: 10 August 2026
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ethics.ai (7 August 2026), “Assessing AI-generated music detection in real-world broadcast monitoring,” evidence record 17800, https://ethics.ai/record/17800 (originally published by arXiv).
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