In this in-depth interview, Joscha Bach shares his insights into AI: what it illuminates about consciousness, how it will develop, and what it means for humanity.
Is AI our only chance at achieving real understanding?
With a free trial, you can watch our full archive of Joscha Bach’s talks and debates at https://iai.tv/home/speakers/joscha-b… Introduction 00:08 What is Artificial General Intelligence, and how far away are we from creating it? 01:08 Do you consider AI humanlike now? 02:43 Why do you defend a computational perspective? 03:44 Is AI the method for the universe to understand itself? 04:26 How is AI transforming society now, and how will it transform society in the next few years? 05:20 Do you think we have the capacity to reconceive how our institutions will function in light of these changes? 06:17 How could AI help us solve the climate crisis, when our biggest problem is inaction? 08:24 Have we become less critical, as a species? 10:40 Would you agree that social media has been detrimental to our society? 12:58 How do you think AGI will be realised? 18:46 What are the differences between evolved systems and designed systems? 20:31 What did you think of the infamous open letter about AI safety? 24:24 How can we solve AI’s misalignment to human values? 25:43 Do you have hope for the future? 27:33 Do you think it’s possible to build a machine that understands? 30:32 Do you think that we are living in base reality? Join cognitive scientist and AI researcher Joscha Bach in this exclusive interview on the limits, risks, and future of AI. From the potential of Artificial General Intelligence to the alignment problem and the fundamental ways AI learns differently from humans, Bach explores whether AI might one day grasp reality on a deeper level than we can. He also examines the systemic failures of institutions in tackling the climate crisis and the COVID-19 pandemic, arguing that the internet’s potential for collective intelligence remains largely untapped. Might AI help us overcome these challenges, or does it merely reflect our own limitations? Interviewed by Darcy Bounsall. #ai #agi #artificialintelligence #artificialgeneralintelligence #consciousness #computerscience Joscha Bach is a cognitive scientist, AI researcher, and philosopher whose research aims to bridge cognitive science and AI by studying how human intelligence and consciousness can be modelled computationally. The Institute of Art and Ideas features videos and articles from cutting edge thinkers discussing the ideas that are shaping the world, from metaphysics to string theory, technology to democracy, aesthetics to genetics. Subscribe today! https://iai.tv/subscribe?utm_source=Y… For debates and talks: https://iai.tv For articles: https://iai.tv/articles For courses: https://iai.tv/iai-academy/courses.
00:00 Introduction.
00:08 What is Artificial General Intelligence, and how far away are we from creating it?
01:08 Do you consider AI humanlike now?
02:43 Why do you defend a computational perspective?
03:44 Is AI the method for the universe to understand itself?
04:26 How is AI transforming society now, and how will it transform society in the next few years?
05:20 Do you think we have the capacity to reconceive how our institutions will function in light of these changes?
06:17 How could AI help us solve the climate crisis, when our biggest problem is inaction?
08:24 Have we become less critical, as a species?
10:40 Would you agree that social media has been detrimental to our society?
12:58 How do you think AGI will be realised?
18:46 What are the differences between evolved systems and designed systems?
20:31 What did you think of the infamous open letter about AI safety?
24:24 How can we solve AI’s misalignment to human values?
25:43 Do you have hope for the future?
27:33 Do you think it’s possible to build a machine that understands?
30:32 Do you think that we are living in base reality?
Join cognitive scientist and AI researcher Joscha Bach in this exclusive interview on the limits, risks, and future of AI. From the potential of Artificial General Intelligence to the alignment problem and the fundamental ways AI learns differently from humans, Bach explores whether AI might one day grasp reality on a deeper level than we can. He also examines the systemic failures of institutions in tackling the climate crisis and the COVID-19 pandemic, arguing that the internet’s potential for collective intelligence remains largely untapped. Might AI help us overcome these challenges, or does it merely reflect our own limitations?
Interviewed by Darcy Bounsall.
It’s becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman’s Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with only primary consciousness will probably have to come first.
What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990’s and 2000’s. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I’ve encountered is anywhere near as convincing.
I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there’s lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order.
My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar’s lab at UC Irvine, possibly. Dr. Edelman’s roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461, and here is a video of Jeff Krichmar talking about some of the Darwin automata, https://www.youtube.com/watch?v=J7Uh9phc1Ow