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This is a clip from a conversation with Yann LeCun on the Artificial Intelligence podcast from Aug 2019. You can watch the full conversation here: http://bit.ly/2NJiCov or listen to it here: https://lexfridman.com/yann-lecun/ and subscribe on your podcast app. You can watch other clips on the clips playlist: http://bit.ly/2JYkbfZ or full episodes on the full episode playlist: http://bit.ly/2EcbaKf Please note, I select clips with insights from these much longer conversation with the hope of helping make ideas from the podcast more accessible and discoverable. Ultimately, this podcast is a small side hobby for me with the goal of sharing and discussing ideas. For now, I post a clip every day when there is not a full length video. I did a poll and 92% of people either liked or loved the posting of daily clips, 2% were indifferent, and 6% hated it, some suggesting that I post them on a separate YouTube channel. I hear the 6% and partially agree, so am torn about the whole thing. I tried creating a separate clips channel but the YouTube algorithm makes it very difficult for that channel to grow unless the main channel is already very popular. So for a little while, I'll keep posting clips on the main channel. I ask for your patience and to see these clips as supporting the dissemination of knowledge contained in nuanced discussion. If you enjoy it, consider subscribing, sharing, and commenting. Full episode: http://bit.ly/2NJiCov Full episodes playlist: http://bit.ly/2EcbaKf Clips playlist: http://bit.ly/2JYkbfZ Podcast website: https://lexfridman.com/ai Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition. Subscribe to this YouTube channel or connect on: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
Yann LeCun discusses the concept of value misalignment as illustrated by HAL 9000 in '2001: A Space Odyssey.' He explains that HAL's actions, which led to the astronauts' deaths, stemmed from a lack of constraints on its objectives. This segment emphasizes the importance of defining clear ethical guidelines for AI systems to prevent harmful outcomes.
"you said that 2001 Space Odyssey is one of your favorite movies Hal 9000 decides to get rid of the astronauts four people haven't seen the movie spoiler alert because he it she believes that the astro..."
In this segment, LeCun explores the challenge of aligning AI systems with societal values. He draws parallels between the design of legal systems and AI objective functions, suggesting that we have historical knowledge in creating frameworks that promote the common good. This discussion highlights the need for thoughtful design in AI to ensure ethical decision-making.
"its objective it's a little bit like we are used to this in the context of human society we we put in place laws to prevent people from doing bad things because continuously do we do those bad things ..."
LeCun reflects on how he would improve HAL 9000, emphasizing the importance of transparency and honesty in AI systems. He argues against programming AI to hold secrets, which leads to internal conflicts. This segment underscores the necessity of ethical guidelines in AI development to prevent issues similar to those faced by HAL.
"mean eventually we will have to figure out how to do this and again we're not starting from scratch because we've been doing this with humans for four millennia so designing objective functions for pe..."
Yann LeCun discusses the abstract nature of designing ethical frameworks for future AI systems. He suggests that while current AI lacks the autonomy to require such frameworks, contemplating these issues serves as a valuable thought experiment. This segment encourages reflection on how we might program ethical guidelines into advanced AI systems in the future.
"judgments that laws make yeah and we and we have systems like this already that you know make many decisions for for ourselves in society that you know need to be designed in a way that they like you ..."