Research Guides: AI Use in Academic Research: Further Resources

Books in our Library Collection

An interview with Ethan Mollick of the Wharton School

This conversation covers the basics, including which chatbot to choose and techniques for how to get the most useful results. But the conversation goes far beyond that, too — to some of the strange, delightful and slightly unnerving ways that A.I. responds to us, and how you’ll get more out of any chatbot if you think of it as a relationship rather than a tool.
Ethan Mollick is the perfect guide: He’s a professor at the Wharton School at the University of Pennsylvania who’s spent countless hours experimenting with different chatbots, noting his insights in his newsletter One Useful Thing and in a new book, “Co-Intelligence: Living and Working With A.I.”

Measuring trends in AI: 10 top takeaways

1. AI beats humans on some tasks, but not on all.	2. Industry continues to dominate frontier AI research
3. Frontier models get way more expensive.	4. The United States leads China, the EU, and the U.K. as the leading source of top AI models.
5. Robust and standardized evaluations for LLM responsibility are seriously lacking.	6. Generative AI investment skyrockets.
7. The data is in: AI makes workers more productive and leads to higher quality work.	8. Scientific progress accelerates even further, thanks to AI.
9. The number of AI regulations in the United States sharply increases.	10. People across the globe are more cognizant of AI’s potential impact—and more nervous.