In this episode, we dive deep into the phenomenon of AI hallucinations — not just as technical glitches, but as fundamental aspects of how large language models (LLMs) work. Joined by our first guest Angela Black, we explore how confabulation better describes what AI systems are really doing, and why this matters in fields like education, academic research, and information ethics.

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We also highlight the emerging role of librarians as crucial guides in navigating AI-generated content, building AI literacy, and safeguarding institutional integrity in a post-truth era.

⏱️ Timestamps

00:00 – The Rise of AI Hallucinations

03:14 – Understanding Confabulation in AI

05:54 – The Role of Librarians in the Age of AI

09:09 – Ethics of AI-Generated Content

12:05 – The Impact of AI on Academic Research

15:02 – Navigating the Ethical Landscape of AI

18:09 – The Future of Research and AI

21:07 – Librarians as Information Shepherds

26:42 – The Nature of AI Hallucinations

28:18 – Understanding Confabulation in AI (Revisited)

33:09 – Teaching AI Literacy to Students

39:13 – The Challenge of Misinformation

42:17 – The Role of Education in Combating Misinformation

49:19 – Developing AI Literacy Frameworks

56:47 – Conclusions

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