The use of AI in writing performance reviews is discussed, with the speaker expressing concern over whether AI can accurately capture the nuances and details necessary for a comprehensive review. The speaker highlights the importance of human touch and effort in crafting meaningful letters of recommendation, suggesting that AI may not be able to match the quality of a personalized review. The speaker questions the implications of allowing AI to take over tasks requiring a human touch within organizations, pondering the impact on the quality and authenticity of such processes.
Co-host Michael Chui talks with business professor Ethan Mollick. He is an associate professor at the Wharton School at the University of Pennsylvania. Mollick covers topics including the following:
- What is generative AI?
- How substantial are the performance improvements workers can gain from using generative AI
- How to use human management skills to get better results from generative AI
- What generative AI means for the future of work and trust
- What he learned when he made the use of generative AI mandatory in his classes
See www.mckinsey.com/privacy-policy for privacy information