Rethinking AI Terminology
Michael emphasizes the importance of understanding machine learning as a tool for making consequential decisions in the real world, rather than merely a pursuit of intelligence. He critiques the historical choice of the term "AI," suggesting it has led to unrealistic expectations and a misunderstanding of its true capabilities. By advocating for a new terminology, he calls for a more grounded approach to the discipline that reflects its real-world applications and complexities.In this clip
From this podcast
Lex Fridman Podcast
Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74
Related Questions
What are the implications if AI gets the data incorrectly with medical diagnoses or doesn't understand the humane treatment plan versus extending life? What if it doesn't understand how the body responds differently to each treatment plan considering genetic risks, unknown history, or environmental interactions?
What are the implications if AI gets the data incorrectly with medical diagnoses or doesn't understand the humane treatment plan versus extending life? What if it doesn't understand how the body responds differently to each treatment plan considering genetic risks, unknown history, or environmental interactions, as discussed in the episode Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74 and the clip Rethinking AI Terminology?
Has Michael I. Jordan ever talked about how AI could be integrated into medical healthcare, treatment, and diagnosing in the episode Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74 or the clip Rethinking AI Terminology?