Machine Learning Street Talk (MLST) #108 - Dr. JOEL LEHMAN - Machine Love [Staff Favourite]
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Mar 16, 2023 Dr. Joel Lehman, a machine learning research scientist, explores the intricate relationship between AI and human flourishing. He discusses how AI can embody principles of love and responsibility, drawing from psychology and philosophy. The conversation delves into the complexities of representing emotions in machine learning and the need for AI to align with human values. Lehman critiques traditional self-help approaches and highlights the importance of fostering creativity and personal growth amidst rapid technological change.
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Machine Love Concept
- Machine love abstracts love's principles, focusing on supporting human aspirations, not simulating emotions.
- This approach uses Maslow's hierarchy and Fromm's principles, implemented in a "grid world" with language models.
Subjectivity in Machine Love
- Subjectivity encompasses the hard problem of consciousness, qualitative experiences, and individual values.
- These intertwine, influencing worldviews and posing challenges for objective function creation in machine learning.
Balancing Open-Endedness and Safety
- Joel Lehman acknowledges a tension between open-ended exploration and safety, both individually and societally.
- Machine love extends open-endedness by helping individuals explore their life paths while mitigating risks.
