Chapter
Using AI for Personalized Music Recommendations
52:00 - 55:37 (03:37)
Can AI have conversations to determine music preferences? The speaker explores the idea of using natural language processing to provide personalized music recommendations.
Clips
The podcast discusses the challenges of building effective recommender systems that provide accurate recommendations without compromising user privacy.
52:00 - 53:09 (01:09)
Summary
The podcast discusses the challenges of building effective recommender systems that provide accurate recommendations without compromising user privacy.
ChapterUsing AI for Personalized Music Recommendations
Episode#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
PodcastLex Fridman Podcast
The speaker values the uniqueness of human beings and believes that companies should not try to use AI to figure out people and control their behavior.
53:09 - 54:17 (01:07)
Summary
The speaker values the uniqueness of human beings and believes that companies should not try to use AI to figure out people and control their behavior. Instead, he suggests that companies should provide a creative and interesting space for individuals to explore without invading their privacy.
ChapterUsing AI for Personalized Music Recommendations
Episode#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
PodcastLex Fridman Podcast
The podcast discusses the potential for AI to mimic the role of close friends and family in recommending personalized music based on natural language interactions, rather than just tracking listening behavior.
54:17 - 55:37 (01:20)
Summary
The podcast discusses the potential for AI to mimic the role of close friends and family in recommending personalized music based on natural language interactions, rather than just tracking listening behavior. This approach may have a positive impact in combating the negative influence of online anonymity on mental health.