#043 Prof J. Mark Bishop – Artificial Intelligence Is Stupid and Causal Reasoning won't fix it.
Professor Mark Bishop does not think that computers can be conscious or have phenomenological states of consciousness unless we are willing to accept panpsychism which is idea that mentality is fundamental and ubiquitous in the natural world, or put simply, that your goldfish and everything else for that matter has a mind. Panpsychism postulates that distinctions between intelligences are largely arbitrary.
Mark’s work in the ‘philosophy of AI’ led to an influential critique of computational approaches to Artificial Intelligence through a thorough examination of John Searle’s ‘Chinese Room Argument’
Mark just published a paper called artificial intelligence is stupid and causal reasoning wont fix it. He makes it clear in this paper that in his opinion computers will never be able to compute everything, understand anything, or feel anything.
00:00:00 Tim Intro
00:18:49 Introduction to Marks ideas
00:25:49 Some problems are not computable
00:29:57 the dancing was Pixies fallacy
00:32:36 The observer relative problem, and its all in the mapping
00:43:03 Conscious Experience
00:53:30 Intelligence without representation, consciousness is something that we do
01:02:36 Consciousness helps us to act autonomously
01:05:13 The Chinese room argument
01:14:58 Simulation argument and computation doesn’t have phenomenal consciousness
01:17:44 Language informs our colour perception
01:23:11 We have our own distinct ontologies
01:27:12 Kurt Gödel, Turing and Penrose and the implications of their work
Pod version: https://anchor.fm/machinelearningstreettalk/episodes/043-Prof-J–Mark-Bishop—Artificial-Intelligence-Is-Stupid-and-Causal-Reasoning-wont-fix-it-eqkkrd
Prof J. Mark Bishop
Professor of Cognitive Computing (Emeritus), Goldsmiths, University of London and Scientific Adviser to FACT360.
Artificial Intelligence is stupid and causal reasoning won’t fix it – John Mark Bishop
Mind in Life: Biology, Phenomenology, and the Sciences of Mind – Evan Thompson
Cognitive Wheels: The Frame Problem of AI – Daniel Dennett
Dancing with pixies: strong artificial intelligence and panpsychism – John Mark Bishop
Views into the Chinese Room: New Essays on Searle and Artificial Intelligence – John Preston and Mark Bishop
Autopoiesis and Cognition – Maturana, H.R., Varela, F. J.
Godel, Escher, Bach: An Eternal Golden Braid
Shadows Of The Mind: A Search for the Missing Science of Consciousness – Roger Penrose
The Embodied Mind – Francisco J. Varela, Eleanor Rosch and Evan Thompson
Understanding Computers and Cognition: A New Foundation for Design – Terry Winograd, Fernando Flores
Representation and Reality – Hilary Putnam
COMPUTING MACHINERY AND INTELLIGENCE (The Imitation Game) – Alan Turing
Intelligence without representation – Rodney Brooks
Does a Rock Implement Every Finite-State Automaton? – David J. Chalmers
Clarification on the introduction — Wittgenstein definitely DID NOT say that “the meaning of a COMPUTATION is in its use”; a well-known aphorism of his – from the Philosophical Investigations – in which he asserts, “The meaning of a word lies in its use”.
We used a couple of clips from numberphile on Godel (Thanks!) – https://www.youtube.com/watch?v=mccoBBf0VDM
We feel this falls under fair use i.e. MLST is non-commercial, educational and we add substantially to the discussion of Godel