When AI systems mislead, discriminate, or get things wrong—who is actually responsible? In this episode of Careful Minds, Rayane El Masri speaks with Dr Joanne Kuai about the growing “responsibility gap” in AI. 

From AI-generated news and election misinformation to invisible labour and global power imbalances, they explore how accountability becomes blurred across developers, platforms, and institutions. This conversation unpacks why these failures aren’t just technical and what it would take to build more responsible and equitable AI systems.

Dr Kuai Joanne Kuai is an Affiliate of the ADM+S at RMIT University. Her research interests include digital journalism, the social implications of automation and algorithms, and data and AI governance.

Research publications discussed in this podcast:

Brantner, C., Karlsson, M., & Kuai, J. (2025). Sourcing behavior and the role of news media in AI-powered search engines in the digital media ecosystem: Comparing political news retrieval across five languages. TelecommunicationsPolicy, 49(5), 102952. https://doi.org/10.1016/j.telpol.2025.102952
Kuai, J., Brantner, C., Karlsson, M., Van Couvering, E., & Romano, S. (2025). AI chatbot accountability in the age of algorithmic gatekeeping: Comparing generative search engine political information retrieval across five languages. New Media & Society, 14614448251321162. https://doi.org/10.1177/14614448251321162This episode is part of the ADM+S Careful Minds series created by ADM+S PhD Student Rayane El Masri.