If you’re a senior leader, handling innovation has actually never ever been more difficult– specifically as companies have a hard time to release generative expert system. Given that ChatGPT burst into the mainstream a year and a half earlier, everybody has actually been rushing to understand how to utilize these tools, what they can and can’t do, and what they indicate for our work and our groups.
Tech at Work is a four-part unique series from HBR IdeaCastSign up with senior tech editors Juan Martinez and Tom Stackpole for research study, stories, and suggestions to make innovation work for you and your group. New episodes release in the IdeaCast feed every other Thursday beginning May 2, after the routine Tuesday episode.
In this episode, Ethan Mollicka management teacher at The Wharton School of the University of Pennsylvania and author of the brand-new book Co-Intelligence: Living and Working with AIdiscusses what he’s discovered through direct experimentation with these tools, where he sees the most possible, and why companies are having a hard time to produce worth with them.
And please let us understand what you think about the series and which innovation subjects you desire us to cover at ideacast@hbr.org
Additional reading:
- ChatGPT Is a Tipping Point for AI (Ethan Mollick)
- Why You (and Your Company) Need to Experiment with ChatGPT Now (HBR IdeaCast)
- The Social Cost of Algorithmic Management (Armin Granulo, Sara Caprioli, Christoph Fuchs, and Stefano Puntoni)
- Release of algorithms in management jobs minimizes prosocial inspiration (Armin Granulo, Sara Caprioli, Christoph Fuchs, and Stefano Puntoni)
- When AI Teammates Come On Board, Performance Drops (Juan Martinez)
- Super Mario Meets AI: Experimental Effects of Automation and Skills on Team Performance and Coordination (Fabrizio Dell’Acqua, Bruce Kogut, and Patryk Perkowski)