The $1 Trillion Question, Mortality in the Age of Generative Ghosts, Your Mind and AI, How to Design AI Tutors for Learning, The Imagining Summit Preview: Adam Cutler, and Helen's Book of the Week.
Magritte's "Son of Man" metaphor explores digital obscurity of reality. AI model collapse mirrors human isolation effects. Minds struggle without diverse input. Balancing AI benefits and genuine human connection crucial. Develop metacognitive skills to navigate this new landscape.
Generative AI promises personalized learning at scale but risks creating dependency. Complementary cognitive artifacts enhance skills; competitive ones replace them. Effective AI tutors balance engagement and autonomy, expanding human cognition without diminishing critical abilities.
In this episode, we talk with Mark Nitzberg who is Executive Director of CHAI or the UC Berkeley Center for Human-Compatible AI and head of strategic outreach for Berkeley AI Research.
We hear a lot about harm from AI and how the big platforms are focused on using AI and user data to enhance their profits. What about developing AI for good for the rest of us? What would it take to design AI systems that are beneficial to humans?
In this episode, we talk with Mark Nitzberg who is Executive Director of CHAI or the UC Berkeley Center for Human-Compatible AI and head of strategic outreach for Berkeley AI Research. Mark began studying AI in the early 1980s and completed his PhD in Computer Vision and Human Perception under David Mumford at Harvard. He has built companies and products in various AI fields including The Blindsight Corporation, a maker of assistive technologies for low vision and active aging, which was acquired by Amazon. Mark is also co-author of The AI Generation which examines how AI reshapes human values, trust and power around the world.
We talk with Mark about CHAI’s goal of reorienting AI research towards provably beneficial systems, why it’s hard to develop beneficial AI, variability in human thinking and preferences, the parallels between management OKRs and AI objectives, human-centered AI design and how AI might help humans realize the future we prefer.
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P.S. Thanks to Jonathan Coulton for our music
The Artificiality Weekend Briefing: About AI, Not Written by AI
