Episode 8: AI in Academia: Promise, Pitfalls, and Productivity

Artificial intelligence has entered the academic workflow. Can we trust it?

In this episode, we share how we use large language models (LLMs) like ChatGPT in our daily work: from drafting emails, organizing messy thoughts, and processing large datasets, to searching through the overwhelming flood of new research.

But it’s not all smooth sailing. We also dive into the current struggles and limitations; inaccurate information, fabricated references, and the risk of leaning too heavily on a tool that doesn’t always get it right.

We ask the big question: Is AI the next step in how we process and synthesize science, or just another imperfect tool we’ll have to learn to manage?

New episodes streaming on all platforms. Just search Gopu & Zane or visit https://lybrandlab.org/jospod