What do tech pioneers think about the AI revolution? - BBC World Service
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Published 2024-08-10
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Intelligent machines are remaking our world. The speed of their improvement is accelerating fast and every day there are more things they can do better than us. There are risks, but the opportunities for human society are enormous.
Three engineers at the forefront of that revolution come to London to join Caroline Steel and a public audience at the Great Hall of Imperial College.
Regina Barzilay from MIT created a major breakthrough in detecting early stage breast cancer. She also led the team that used machine learning to discover Halicin, the first new antibiotic in 30 years.
David Silver is Principal Research Scientist at Google DeepMind. He led the AlphaGo team that built the AI to defeat the worldās best human player of Go.
Paolo Pirjanian founded Embodied, and is a pioneer in developing emotionally intelligent robots to aid child development.
Producer: Charlie Taylor
00:00 Introduction
02:10 How AI could be used to detect cancer early
03:47 Gaming and reinforcement learning
05:42 Robot companions
07:08 What can AI do to detect cancer that humans can't?
08:12 Can computers learn to be intuitive?
09:45 How robots can build emotional bonds
10:42 The first AI influenced antibiotic
12:26 Narrow AI vs Artificial general intelligence
13:43 Why isn't AI used in medicine more?
15:05 Can "emotional" AI help humanity to be come better?
16:23 Should we use AI to create art and culture?
17:43 Audience questions
18:15 Should you have to understand the consequences of AI before using it?
20:09 Are robots going to take all our jobs?
21:39 Can AI help with sport performance?
22:59 Will depending on AI stop humans from learning?
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All Comments (9)
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Very informative
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"I think if you work as a radiologist, you are like the coyote thatās already out of the edge of the cliff but hasnāt yet looked down. We should stop training radiologists now. It's just completely obvious that within five years, deep learning is going to do better than radiologists.ā Geoffrey Hinton, 2016
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My sincere thanks for sharing it. ą¤ą¤Æ ą¤¹ą¤æą¤Øą„ą¤¦, ą¤ą¤Æ ą¤ą¤¾ą¤°ą¤¤, ą¤¶ą„ą¤°ą„ą¤·ą„ą¤ ą¤ą¤¾ą¤°ą¤¤ą„¤šš¼
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very interesting
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Thank you very much, I love your contentšš
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Super... woww... I'm really interested in this , need to study AI further.., but how find resources.. Please help me.. ā¤ā¤ā¤ā¤ā¤
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While a fascinating talk, every one of them is looking at the question of how it will handicap us in terms of their own desires to learn which developed in a world without these technologies. If we know one thing about humans it's that if you don't find a way to create struggle, you get weaker and die. That is why we have gyms now that we don't have to hunt for our food and we see what not having to hunt for our food did to obesity, mental health, and the general health of our species. AI is wonderful and has huge potential and yet if we don't limit it such that it doesn't write all our code, all our books, all our music, all our relationships, all our struggles, we will perish.
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End Days šļøšŖ¦āļøš¤”
