Philosophy and Artificial Intelligence 2023: Difference between revisions

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<span style="background:#ffff00">14:45 – 15:15 Barry Smith (Buffalo, USI): Summary of the Book
<span style="background:#ffff00">14:45 – 15:15 Barry Smith (Buffalo, USI): Summary of the Book


<span style="background:#ffff00">[https://buffalo.box.com/v/Smith-Introduction-to-USI-Workshop Smith Slides]
<span style="background:#ffff00">[https://buffalo.box.com/s/viaendr1zcnvslqqki029mwu4ne6drzu Smith Slides]


<span style="background:#ffff00">[https://buffalo.box.com/v/Landgrebe-Workshop-Lugano Landgrebe Slides]
<span style="background:#ffff00">[https://buffalo.box.com/v/Landgrebe-Workshop-Lugano Landgrebe Slides]
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[https://buffalo.box.com/v/Digital-Immortality-2023 Slides]
[https://buffalo.box.com/v/Digital-Immortality-2023 Slides]


==Tuesday, May 9 (15:30 - 18:00pm) The Machine Will; AI Limits; AI Safety ==
==Tuesday, May 9 (15:30 - 18:00pm) The Human Will; and the Limits of AI ==


:'''The Limits of Mathematical Models and the Limits of AI'''
[https://buffalo.box.com/v/The-Human-Will Slides]
 
Simple and complex systems
 
The human will
 
The missing machine will
 
Consequences for the limits of AI
 
Preliminary Remarks on ChatGPT and other Large Language Models
<!-- This is a comment
:The Limits of Mathematical Models and the Limits of AI
:[https://buffalo.box.com/s/xnmc8zi1btpnku365bysxmowcgk99epd Slides]
:[https://buffalo.box.com/s/xnmc8zi1btpnku365bysxmowcgk99epd Slides]
::'''Preliminary Remarks on ChatGPT and other Large Language Models'''


::'''Models'''
::'''Models'''
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:::Complex system emulation requires complex systems
:::Complex system emulation requires complex systems
:'''AI and the Ontology of Power, Social Interaction and Ethics'''
:'''AI and the Ontology of Power, Social Interaction and Ethics'''
:[https://www.youtube.com/watch?v=EiBBS8ueyz4 Preliminary Video]
:[https://www.youtube.com/watch?v=EiBBS8ueyz4 Preliminary Video] -->


==Wednesday, May 10 (9:30 - 13:00) Quantum Computation 1 ==
==Wednesday, May 10 (9:30 - 13:00) Quantum Computation 1 ==


:'''Implementing mathematical models in computers'''
1. Introduction to the theory of computation and of Turing machines: What is a Turing machine?, Turing machine elements and structure, example of a Turing machine, recursive functions, non-recursive functions, Church-Turing computability


:: Classical computation
2. Classical logic-gate based computation: binary logic of computers, registers, logic gates and circuits, examples of circuits
::: Turing machines
::: Classical logic-gate based computation
:: Quantum computation
::: Quantum mechanics
::: Quantum computing
::: Why quantum computers are Turing machines


3. Quantum mechanics: superposition, double slit, uncertainty, Stern-Gerlach, Hamiltonian, Hilbert space


1. Computation and Turing machines: What is a Turing machine, Turing machine elements and structure, Turing machine example, recursive function, non-recursive function, Church-Turing computability
Source: Nielsen and Chuang, ''[https://csis.pace.edu/~ctappert/cs837-19spring/QC-textbook.pdf Quantum Computation and Quantum Information]''
 
2. Classical logic-gate based computation : binary logic of computers, registers, logic gates and circuits, examples of circuits


3. Quantum mechanics: superposition, double slit, uncertainty, Stern-Gerlach, Hamiltonian, Hilbert space
[https://youtu.be/_mvoS_H_kA8 Video]


Source: Nielsen and Chuang, ''[https://csis.pace.edu/~ctappert/cs837-19spring/QC-textbook.pdf Quantum Computation and Quantum Information]''
[https://buffalo.box.com/v/Quantum-Computing-1 Slides for Parts 1 and 2]


==Thursday, May 11 (9:30 - 12:00 noon) Quantum Computation 2 ==
==Thursday, May 11 (9:30 - 12:00 noon) Quantum Computation 2 ==
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Continues Wednesday's lecture:
Continues Wednesday's lecture:


4. Quantum computing: quantum bits, registers, quantum gates, simple quantum algorithm, quantum error (correction), future of quantum computing, philosophical interpretation of quantum computing
4. Quantum computing: quantum bits, registers, quantum gates, simple quantum algorithm, quantum error (correction), future of quantum computing


::: Why quantum computers are Turing machines
5. Philosophical interpretation of quantum computing
 
6. Why quantum computers are Turing machines
 
Mikhail Dyakonov, ''[https://spectrum.ieee.org/the-case-against-quantum-computing The Case Against Quantum Computing]''
 
[https://youtu.be/BB89YcLeAko Video]


==Tuesday May 16 (15:30 - 18:00pm): The Nature of Intelligence: Humans vs. ChatGPT ==
==Tuesday May 16 (15:30 - 18:00pm): The Nature of Intelligence: Humans vs. ChatGPT ==
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==Wednesday May 17 (9:30 - 12:00 noon) Student Presentations and Concluding Survey==
==Wednesday May 17 (9:30 - 12:00 noon) Student Presentations and Concluding Survey==
:'''[https://buffalo.box.com/s/uikip0o09cwwj13ykwdfm2vka3ht5cql Files]'''


:'''Student Presentations'''
:'''Student Presentations'''
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Aaron Wirt: Politics and Digital Technologies
Aaron Wirt: Politics and Digital Technologies


Sven Eichholtz
Sven Eichholtz: A Critique of Cross-modal Vector Space Alignment for Capturing Referential Semantics
 
Jahmaira Archbold: AI to Understand Animal Communication
 
​David Alarcon and ​Davide Casnici: I​n Turing's and Gödel's Shadows: The Inaccessible Horizons of Artificial Intelligence
 
Qianbo Zang: Would machine intelligence, if there is such a thing, be something comparable to human intelligence or something quite different?


==Background Reading==
==Background Reading==

Latest revision as of 22:00, 15 November 2023

Jobst Landgrebe and Barry Smith

MAP, USI, Lugano, Spring 2023

Background

Much of the material for this class is derived from our book Why Machines Will Never Rule the World: Artificial Intelligence without Fear (Routledge 2022). The March 1-2 sessions of the class will be accompanied by afternoon sessions devoted to a conference on the book.

Table of contents, first chapter and references

Faculty

Jobst Landgrebe is the founder and CEO of Cognotekt, GmBH, an AI company based in Cologne specialised in the design and implementation of holistic AI solutions. He has 17 years experience in the AI field, 8 years as a management consultant and software architect. He has also worked as a physician and mathematician.

Barry Smith is one of the world's most widely cited philosophers. He has contributed primarily to the field of applied ontology, which means applying philosophical ideas derived from analytical metaphysics to the concrete practical problems which arise where attempts are made to compare or combine heterogeneous bodies of data.

Course Description

Artificial Intelligence (AI) is the subfield of Computer Science devoted to developing programs that enable computers to display behavior that can (broadly) be characterized as intelligent. On the strong version, the ultimate goal of AI is to create an artificial system that is as intelligent as a human being. Recent striking successes such as AlphaFold have convinced many not only that this objective is obtainable but also that in a not too distant future machines will become even more intelligent than human beings.

The actual and possible developments in AI open up a series of striking questions such as:

  • Can a computer have a conscious mind?
  • Can a computer have desires, a will, and emotions?
  • Can a computer have responsibility for its behavior
  • Would machine intelligence, if there is such a thing, be something comparable to human intelligence or something quite different?

In addition, new developments in the AI field make it possible for us to consider a series of philosophical questions in a new light, including:

  • Could a machine have something like a personal identity? Would I really survive if the contents of my brain were uploaded to the cloud?
  • What is it for a human to behave in an ethical manner? (Could there be something like machine ethics? Could machines used in fighting wars be programmed to behave ethically?)
  • What is a meaningful life? If routine, meaningless work in the future is performed entirely by machines, will this make possible new sorts of meaningful lives on the part of humans?

After introducing the relevant ideas and tools from both AI and philosophy, all the aforementioned questions will be thoroughly addressed in class discussions. The class will close with presentations of papers on relevant topics given by students.


Draft Schedule

Tuesday, Feb 28 (15:30-18:00pm) Why machines will never rule the world

Barry Smith: Overview of the arguments and introduction to the human mind.
Room:
Announcement: Why Machines Will Never Rule the World

Introduction to the class

Smith Slides
Smith Audio

Readings:

John Searle: Minds, Brains, and Programs
Jobst Landgrebe and Barry Smith: There is no Artificial General Intelligence
Max More and Natasha Vita-More (Eds.), The Transhumanist Reader: Classical and Contemporary Essays on the Science, Technology, and Philosophy of the Human Future, Wiley-Blackwell, 2013.

Wednesday March 1 (9:30-12:00 noon): Artificial General Intelligence and Introduction to Stochastic AI

Room:

Artificial General Intelligence

Landgrebe Slides

Bibliography of Why Machines Will Never Rule the World

The classical psychological definitions of intelligence are:  

A. the ability to adapt to new situations (applies both to humans and to animals) 
B. a very general mental capability (possessed only by humans) that, among other things, involves the ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, and learn from experience 

What are the essential marks of human intelligence? 

Readings:

Linda S. Gottfredson. Mainstream Science on Intelligence. In: Intelligence 24 (1997), pp. 13–23.
Slides from 2022
Video from 2022

The Legg-Hutter Definition of Intelligence

What is it that researchers and engineers are trying to do when they talk of achieving ‘Artificial Intelligence’?

To what extent can AI be achieved? 

Problems with the Legg-Hutter Definition of Intelligence

Theory of complex systems

Readings:

Shane Legg and Marcus Hutter: Universal Intelligence: A Definition of Machine Intelligence
Jobst Landgrebe and Barry Smith: Making AI Meaningful Again
S. Thurner et al. (2018): Introduction to the theory of complex systems (Oxford):

Wednesday March 1 (14:30-18:00): Part 1 of Conference on Why Machines Will Never Rule the World

14:30 – 14:45 Welcome

14:45 – 15:15 Barry Smith (Buffalo, USI): Summary of the Book

Smith Slides

Landgrebe Slides

Video of Opening Presentation by Landgrebe and Smith

15:15 – 15:30 Jobst Landgrebe (Buffalo, USI) "The Core Mathematical Argument"

15:30 –16:00 Landgrebe: "Large Language Models (Galactica, ChatGPT)", Smith: "ChatGPT heuristics" (Examples of ChatGPT hallucinations)

16:00 – 16:15 Q&A

16:15 – 16:30 Coffee Break

16:30 – 18:00 Tim Crane (CEU, Vienna) “Is Artificial General Intelligence Possible?”

Thursday, March 2 (9:30-12:00 noon): Language and Natural Intelligence

Landgrebe Slides

Language Structure and Language Economy (Landgrebe)

Large Language Models (Landgrebe)

Natural Intelligence (Landgrebe)

Thursday March 2 (14:00-18:00): Part 2 of Conference on Why Machines Will Never Rule the World

14:30 – 16:00 Emma Tieffenbach (USI, Zürich) “Making Sense of Singularity”

16:00 – 16:15 Coffee Break

16:15 – 17:45 Stefan Wolf (USI) “agAInst”

17:45 – 18:15 Concluding replies by Jobst Landgrebe & Barry Smith

Friday, March 3 (13:30 - 16:00pm) Digital Immortality and the Meaning of Life

Slides

Tuesday, May 9 (15:30 - 18:00pm) The Human Will; and the Limits of AI

Slides

Simple and complex systems

The human will

The missing machine will

Consequences for the limits of AI

Preliminary Remarks on ChatGPT and other Large Language Models

Wednesday, May 10 (9:30 - 13:00) Quantum Computation 1

1. Introduction to the theory of computation and of Turing machines: What is a Turing machine?, Turing machine elements and structure, example of a Turing machine, recursive functions, non-recursive functions, Church-Turing computability

2. Classical logic-gate based computation: binary logic of computers, registers, logic gates and circuits, examples of circuits

3. Quantum mechanics: superposition, double slit, uncertainty, Stern-Gerlach, Hamiltonian, Hilbert space

Source: Nielsen and Chuang, Quantum Computation and Quantum Information

Video

Slides for Parts 1 and 2

Thursday, May 11 (9:30 - 12:00 noon) Quantum Computation 2

Continues Wednesday's lecture:

4. Quantum computing: quantum bits, registers, quantum gates, simple quantum algorithm, quantum error (correction), future of quantum computing

5. Philosophical interpretation of quantum computing

6. Why quantum computers are Turing machines

Mikhail Dyakonov, The Case Against Quantum Computing

Video

Tuesday May 16 (15:30 - 18:00pm): The Nature of Intelligence: Humans vs. ChatGPT

Human and machine intelligence

Can ChatGPT become intelligent?

Are Large Language Models a threat to humanity?

Capabilities, or: What do IQ tests measure?

Slides

Is Psychology Finished?

Slides

Wednesday May 17 (9:30 - 12:00 noon) Student Presentations and Concluding Survey

Student Presentations

Aaron Wirt: Politics and Digital Technologies

Sven Eichholtz: A Critique of Cross-modal Vector Space Alignment for Capturing Referential Semantics

Jahmaira Archbold: AI to Understand Animal Communication

​David Alarcon and ​Davide Casnici: I​n Turing's and Gödel's Shadows: The Inaccessible Horizons of Artificial Intelligence

Qianbo Zang: Would machine intelligence, if there is such a thing, be something comparable to human intelligence or something quite different?

Background Reading

An Introduction to AI for Philosophers

Video
Slides

(AI experts are invited to criticize what I have to say here)

An Introduction to Philosophy for Computer Scientists

Video
Slides

(Philosophers are invited to criticize what I have to say here)

John McCarthy, "What has AI in common with philosophy?"