#109 - Dr. DAN MCQUILLAN - Resisting AI
YT version: https://youtu.be/P1j3VoKBxbc (references in pinned comment)
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MLST Discord: https://discord.gg/aNPkGUQtc5
Dan McQuillan, a visionary in digital culture and social innovation, emphasizes the importance of understanding technology's complex relationship with society. As an academic at Goldsmiths, University of London, he fosters interdisciplinary collaboration and champions data-driven equity and ethical technology. Dan's career includes roles at Amnesty International and Social Innovation Camp, showcasing technology's potential to empower and bring about positive change. In this conversation, we discuss the challenges and opportunities at the intersection of technology and society, exploring the profound impact of our digital world.
Interviewer: Dr. Tim Scarfe
[00:00:00] Dan's background and journey to academia
[00:03:30] Dan's background and journey to academia
[00:04:10] Writing the book "Resisting AI"
[00:08:30] Necropolitics and its relation to AI
[00:10:06] AI as a new form of colonization
[00:12:57] LLMs as a new form of neo-techno-imperialism
[00:15:47] Technology for good and AGI's skewed worldview
[00:17:49] Transhumanism, eugenics, and intelligence
[00:20:45] Valuing differences (disability) and challenging societal norms
[00:26:08] Re-ontologizing and the philosophy of information
[00:28:19] New materialism and the impact of technology on society
[00:30:32] Intelligence, meaning, and materiality
[00:31:43] The constraints of physical laws and the importance of science
[00:32:44] Exploring possibilities to reduce suffering and increase well-being
[00:33:29] The division between meaning and material in our experiences
[00:35:36] Machine learning, data science, and neoplatonic approach to understanding reality
[00:37:56] Different understandings of cognition, thought, and consciousness
[00:39:15] Enactivism and its variants in cognitive science
[00:40:58] Jordan Peterson
[00:44:47] Relationism, relativism, and finding the correct relational framework
[00:47:42] Recognizing privilege and its impact on social interactions
[00:49:10] Intersectionality / Feminist thinking and the concept of care in social structures
[00:51:46] Intersectionality and its role in understanding social inequalities
[00:54:26] The entanglement of history, technology, and politics
[00:57:39] ChatGPT article - we come to bury ChatGPT
[00:59:41] Statistical pattern learning and convincing patterns in AI
[01:01:27] Anthropomorphization and understanding in AI
[01:03:26] AI in education and critical thinking
[01:06:09] European Union policies and trustable AI
[01:07:52] AI reliability and the halo effect
[01:09:26] AI as a tool enmeshed in society
[01:13:49] Luddites
[01:15:16] AI is a scam
[01:15:31] AI and Social Relations
[01:16:49] Invisible Labor in AI and Machine Learning
[01:21:09] Exploititative AI / alignment
[01:23:50] Science fiction AI / moral frameworks
[01:27:22] Discussing Stochastic Parrots and Nihilism
[01:30:36] Human Intelligence vs. Language Models
[01:32:22] Image Recognition and Emulation vs. Experience
[01:34:32] Thought Experiments and Philosophy in AI Ethics (mimicry)
[01:41:23] Abstraction, reduction, and grounding in reality
[01:43:13] Process philosophy and the possibility of change
[01:49:55] Mental health, AI, and epistemic injustice
[01:50:30] Hermeneutic injustice and gendered techniques
[01:53:57] AI and politics
[01:59:24] Epistemic injustice and testimonial injustice
[02:11:46] Fascism and AI discussion
[02:13:24] Violence in various systems
[02:16:52] Recognizing systemic violence
[02:22:35] Fascism in Today's Society
[02:33:33] Pace and Scale of Technological Change
[02:37:38] Alternative approaches to AI and society
[02:44:09] Self-Organization at Successive Scales / cybernetics
#79 Consciousness and the Chinese Room [Special Edition] (CHOLLET, BISHOP, CHALMERS, BACH)
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YT: https://youtu.be/_KVAzAzO5HU
Panel: Dr. Tim Scarfe, Dr. Keith Duggar
Guests: Prof. J. Mark Bishop, Francois Chollet, Prof. David Chalmers, Dr. Joscha Bach, Prof. Karl Friston, Alexander Mattick, Sam Roffey
The Chinese Room Argument was first proposed by philosopher John Searle in 1980. It is an argument against the possibility of artificial intelligence (AI) – that is, the idea that a machine could ever be truly intelligent, as opposed to just imitating intelligence.
The argument goes like this:
Imagine a room in which a person sits at a desk, with a book of rules in front of them. This person does not understand Chinese.
Someone outside the room passes a piece of paper through a slot in the door. On this paper is a Chinese character. The person in the room consults the book of rules and, following these rules, writes down another Chinese character and passes it back out through the slot.
To someone outside the room, it appears that the person in the room is engaging in a conversation in Chinese. In reality, they have no idea what they are doing – they are just following the rules in the book.
The Chinese Room Argument is an argument against the idea that a machine could ever be truly intelligent. It is based on the idea that intelligence requires understanding, and that following rules is not the same as understanding.
in this detailed investigation into the Chinese Room, Consciousness and Syntax vs Semantics, we interview luminaries J.Mark Bishop and Francois Chollet and use unreleased footage from our interviews with David Chalmers, Joscha Bach and Karl Friston. We also cover material from Walid Saba and interview Alex Mattick from Yannic's Discord.
This is probably my favourite ever episode of MLST. I hope you enjoy it! With Keith Duggar.
Note that we are using clips from our unreleased interviews from David Chalmers and Joscha Bach -- we will release those shows properly in the coming weeks. We apologise for delay releasing our backlog, we have been busy building a startup company in the background.
TOC:
[00:00:00] Kick off
[00:00:46] Searle
[00:05:09] Bishop introduces CRA
[00:00:00] Stevan Hardad take on CRA
[00:14:03] Francois Chollet dissects CRA
[00:34:16] Chalmers on consciousness
[00:36:27] Joscha Bach on consciousness
[00:42:01] Bishop introduction
[00:51:51] Karl Friston on consciousness
[00:55:19] Bishop on consciousness and comments on Chalmers
[01:21:37] Private language games (including clip with Sam Roffey)
[01:27:27] Dr. Walid Saba on the chinese room (gofai/systematicity take)
[00:34:36] Bishop: on agency / teleology
[01:36:38] Bishop: back to CRA
[01:40:53] Noam Chomsky on mysteries
[01:45:56] Eric Curiel on math does not represent
[01:48:14] Alexander Mattick on syntax vs semantics
Thanks to: Mark MC on Discord for stimulating conversation, Alexander Mattick, Dr. Keith Duggar, Sam Roffey. Sam's YouTube channel is https://www.youtube.com/channel/UCjRNMsglFYFwNsnOWIOgt1Q
#56 - Dr. Walid Saba, Gadi Singer, Prof. J. Mark Bishop (Panel discussion)
It has been over three decades since the statistical revolution overtook AI by a storm and over two decades since deep learning (DL) helped usher the latest resurgence of artificial intelligence (AI). However, the disappointing progress in conversational agents, NLU, and self-driving cars, has made it clear that progress has not lived up to the promise of these empirical and data-driven methods. DARPA has suggested that it is time for a third wave in AI, one that would be characterized by hybrid models – models that combine knowledge-based approaches with data-driven machine learning techniques.
Joining us on this panel discussion is polymath and linguist Walid Saba - Co-founder ONTOLOGIK.AI, Gadi Singer - VP & Director, Cognitive Computing Research, Intel Labs and J. Mark Bishop - Professor of Cognitive Computing (Emeritus), Goldsmiths, University of London and Scientific Adviser to FACT360.
Moderated by Dr. Keith Duggar and Dr. Tim Scarfe
https://www.linkedin.com/in/gadi-singer/
https://www.linkedin.com/in/walidsaba/
https://www.linkedin.com/in/profjmarkbishop/
#machinelearning #artificialintelligence
#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
00:15:04 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
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