In this short video, speakers from the MIT Sloan CIO Symposium and CIO Leadership Award finalists share their advice on which generative AI issues to prioritize.
MIT Sloan Management Review
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topic
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Data, AI, and Machine Learning
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AI and Machine Learning
Given that generative AI continues to advance at a rapid pace, it’s natural to be concerned about the completeness of your implementation plan. To help leaders better understand potential pitfalls, MIT Sloan Management Review We interviewed AI experts and IT practitioners at the recent MIT Sloan CIO Symposium.
In the first video of a two-part series, a distinguished group of leaders from IT, business, and academia weighed in on this question. What blind spots do business leaders currently have when it comes to generative AI?
“The text that GenAI generates is so good and consistent relative to the questions we ask that it looks like the system can reason. But in reality, [it] “Humans can't reason,” said Rodney Brooks, the Panasonic Professor of Robotics Emeritus at the MIT Computer Science and Artificial Intelligence Laboratory. MIT SMR At the event.
Learn more from Brooks and other symposium speakers in the video:
Video credits
Laurie McLaughlin Senior Digital Editor. MIT Sloan Management Review.
M. Sean Reid I'm a multimedia editor. MIT Sloan Management Review.
