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31: Human-AI interactions in Knowledge work and innovation and the future of learning (Hila Lifshitz)

Updated: Jun 15

Prerecorded session

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Live session

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Required readings

  • Dell’Acqua, F., McFowland III, E., Mollick, E., Lifshitz, H., Kellogg, K. C., Rajendran, S., ... & Lakhani, K. R. (2026). Navigating the jagged technological frontier: Field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality. Organization Science, 37(2), 403-423.

  • Randazzo, S., Lifshitz, H., Kellogg, K. C., Dell'Acqua, F., Mollick, E., Candelon, F., & Lakhani, K. R. (2025). Cyborgs, centaurs and self-automators: The three modes of human-GenAI knowledge work and their implications for skilling and the future of expertise (Harvard Business School Working Paper No. 26-036). Harvard Business School. https://www.hbs.edu/ris/Publication%20Files/26-036_e7d0e59a-904c-49f1-b610-56eb2bdfe6f9.pdf


Discussion questions

  • How do you relate to the three modes of working with AI? Do they depict your way of working with AI for research?

  • What do you find interesting theoretically about the three types?

  • What do you think is the difference between centaurs and cyborg regarding their learning?

  • What and how do you think we can encourage human learning when working with genAI? How would we design studies for it?

  • What do you think are the shifts in these professions' roles as they integrate AI into their work?



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