#57 - Prof. Melanie Mitchell - Why AI is harder than we think - podcast episode cover

#57 - Prof. Melanie Mitchell - Why AI is harder than we think

Jul 25, 20213 hr 31 minSeason 1Ep. 57
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Episode description

Since its beginning in the 1950s, the field of artificial intelligence has vacillated between periods of optimistic predictions and massive investment and periods of disappointment, loss of confidence, and reduced funding. Even with today’s seemingly fast pace of AI breakthroughs, the development of long-promised technologies such as self-driving cars, housekeeping robots, and conversational companions has turned out to be much harder than many people expected.  Professor Melanie Mitchell thinks one reason for these repeating cycles is our limited understanding of the nature and complexity of intelligence itself.

YT vid- https://www.youtube.com/watch?v=A8m1Oqz2HKc

Main show kick off [00:26:51]


Panel: Dr. Tim Scarfe, Dr. Keith Duggar, Letitia Parcalabescu (https://www.youtube.com/c/AICoffeeBreak/)

#57 - Prof. Melanie Mitchell - Why AI is harder than we think | Machine Learning Street Talk (MLST) podcast - Listen or read transcript on Metacast