Reductive, Exclusionary, Normalising: The Limits of Generative AI Music | Transactions of the International Society for Music Information Retrieval

AI music promised freedom from hard-coded rules that were needed in pre-ML approaches to music generation. No theory, no grammar, no bias — just pure music learned directly from data. Our new @tismir.bsky.social article tears down that myth.

transactions.ismir.net/articles/10....

Surveillance on Exhibit: Using Problematic Technology To Teach About Problematic Technology | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

🚨 New Pub! 🚨 Our augmented reality museum installation about data surveillance & rights in Aotearoa NZ used by 128,000x visitors over 2 yrs — we interviewed visitors & present conclusions on how to get the public thinking about problematic technologies!

doi.org/10.1145/3706...

#OpenAccess #chi2025