SlideShare uma empresa Scribd logo
1 de 14
Opening the door to the Chinese Room:
Intersubjectivity and the
Phenomenology of AI
Open AIED
19 September 2018
DR. ROBERT FARROW
INSTITUTE OF EDUCATIONAL TECHNOLOGY
@philosopher1978
rob.farrow@open.ac.uk
ARTIFICIAL INTELLIGENCE
MAKING HEADLINES
3
PERSPECTIVES FROM PHILOSOPHY OF MIND
ARTIFICIAL INTELLIGENCE
1. The first thing to say is that many computer scientists and engineers are quite uninterested in the
philosophy of artificial intelligence (despite this being where AI comes from as a concept)
2. Philosophers have long been interested in whether a non-human is able to possess a mind or have
the attribute of intelligence
3. This has only been from the perspective of computational theories of mind over the last hundred
years or so, but can be traced back into the history of philosophy as the mind-body problem
4. The so-called ‘hard problem of consciousness’ is a contemporary example of the mind-body problem
5. Machine functionalism presented the mind as an information processor
6. Turing test was presented as a test of intelligence
7. Searle’s response to machine functionalism: the Chinese Room
8. Thoughts on the potential use of AI in education
9. Concluding thoughts
4
WHY DO HUMAN BEINGS EXPERIENCE PHENOMENA AT ALL?
HARD PROBLEM OF CONCIOUSNESS (CHALMERS, 1995)
Information flowQualia
5
HOW CAN PHYSICALISM BE RECONCILED WITH MENTAL PHENOMENA?
THE MIND-BODY PROBLEM
6
HOW CAN PHYSICALISM BE RECONCILED WITH MENTAL PHENOMENA?
THE MIND-BODY PROBLEM
The mental and physical
are separate (dualism)
The mental and physical
interact (mental
causation)
Physics is causally
closed (physicalism)
7
THE MIND AS INFORMATION PROCESSOR
MACHINE FUNCTIONALISM
1. Puttnam (1967) argues in ‘Psychological Predicates’ that psychological states are not in correspondence with physical
states
2. This gives rise to an interest the multiple realisability of mental properties, and hence to functional accounts of the
mental
3. For instance, pain reception can be realised in multiple ways in different organisms, but all of these systems have the
same ‘function’
4. For the functionalist, mental states are reducible to functional states: there are no ‘inner’ mental representations and
no mental/physical dualism
5. Puttnam frames his discussion of functionalism in terms of ‘Turing machines’ which read & write data along a tape
according to a finite set of internal conditions and a consistent symbolic alphabet
8
A TEST OF INTELLIGENCE?
TURING TEST
Turing’s (1950) famous test of ’intelligence’
Turing’s thesis: if two systems are input-output equivalent they have the same psychological status (Kim, 1998)
9
THE CHINESE ROOM THOUGHT EXPERIMENT
JOHN SEARLE (1980)
Searle similarly rejects the mind/body problem as a false dichotomy (i.e. he rejects the premise that mind and body are
separate in favour of the idea that they are different aspects of a single phenomena).
The ‘Chinese Room’ thought experiment is often presented as an argument against ‘Strong AI’ (Dennett)
Strong AI thesis: “The appropriately programmed computer with the right inputs and outputs would thereby have a mind in
exactly the same sense human beings have minds.”
More recently, Searle has framed this thought experiment in terms of the hard problem of consciousness
10
AI IN EDUCATION
INTERSUBJECTIVITY?
1. At The Open University AI is being considered for personalised learner support; it would draw on the
massive amount of data retained by the university about their students
2. For instance, AI could offer personalised feedback on writing and other work
3. AI could effectively replace a large range of functions in education
4. In May 2018 the OpenAIED group heard a very interesting presentation from Mark Nichols (LTI) on
some of the thinking around AI support for students.
5. This drew on Buber’s (1923) account of intersubjectivity which contrasts intersubjective relationships
(“I-Thou”) with the world of things (I-It)
6. The suggestion was that AI interactions should be characterised by intersubjectivity and a sense of
‘human’ interaction
7. It’s important to note that intersubjectivity assumes a kind of symmetry between human relationships
which expresses itself as forms of mutual recognition – the kind of recognition which machines
cannot genuinely reciprocate even if they can simulate it convincingly
11
EVALUATION & MONITORING
BRINGING LEARNING TO LIFE
https://www.theguardian.com/technology/2018/may/11/google-
duplex-ai-identify-itself-as-robot-during-calls
12
SHOULD AI BE RATIONAL, OR BE LIKE HUMANS?
ARTIFICIAL INTELLIGENCE: CONTRASTING VISIONS
Russell and Norvig (1995, 2002, 2009)
13
SOME THOUGHTS
IN CONCLUSION
1. Despite the recent interest in AI from an engineering and computer science perspective there remain
unresolved epistemological and metaphysical controversies
2. I hope to have at least indicated that the philosophical issues around AI do have important
implications for those building ‘practical’ systems
3. In order to resolve the mind-body problem we necessarily end up taking a reductive approach: in the
behaviourist/functionalist tradition mental operations are disregarded in favour of language and
behaviour
4. These are structural issues: machine learning has made little progress with representing higher order
thoughts, higher levels of abstraction, being creative with language, or ‘common sense’ (Russell &
Norvig, 2009)
5. In summary, we might suggest that there is massive hyperbole about the affordances and likely
futures of AI: reports of artificial intelligence are greatly exaggerated and it is human intelligence that
is being extended
6. All of the AI we refer to is essentially ‘weak’ (i.e. task orientated rather than generalised) intelligence
and should perhaps be referred to as ‘augmented’
7. This is to say nothing of the well documented ethical concerns raised by the use of AI in education
THANK YOU
rob.farrow@open.ac.uk
@philosopher1978
Image credits:
Consciousness by sachin modgekar (Noun Project)
Thinking by iconoci (Noun Project)
translate by Graphic Enginer (Noun Project)
Other images believed to be public domain

Mais conteúdo relacionado

Mais procurados

Mais procurados (19)

Ai notes
Ai notesAi notes
Ai notes
 
Towards which Intelligence? Cognition as Design Key for building Artificial I...
Towards which Intelligence? Cognition as Design Key for building Artificial I...Towards which Intelligence? Cognition as Design Key for building Artificial I...
Towards which Intelligence? Cognition as Design Key for building Artificial I...
 
Cognitive Science and AI
Cognitive Science and AICognitive Science and AI
Cognitive Science and AI
 
A Computational Framework for Concept Representation in Cognitive Systems and...
A Computational Framework for Concept Representation in Cognitive Systems and...A Computational Framework for Concept Representation in Cognitive Systems and...
A Computational Framework for Concept Representation in Cognitive Systems and...
 
What is knowledge representation and reasoning ?
What is knowledge representation and reasoning ?What is knowledge representation and reasoning ?
What is knowledge representation and reasoning ?
 
ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062
ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062
ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062
 
Artificial intelligence and knowledge representation
Artificial intelligence and knowledge representationArtificial intelligence and knowledge representation
Artificial intelligence and knowledge representation
 
Artificial intel
Artificial intelArtificial intel
Artificial intel
 
REPRESENTATION OF DECLARATIVE KNOWLEDGE
REPRESENTATION OF DECLARATIVE KNOWLEDGEREPRESENTATION OF DECLARATIVE KNOWLEDGE
REPRESENTATION OF DECLARATIVE KNOWLEDGE
 
Physical symbol system
Physical symbol systemPhysical symbol system
Physical symbol system
 
Intelligence and artificial intelligence
Intelligence and artificial intelligenceIntelligence and artificial intelligence
Intelligence and artificial intelligence
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Artificial Intelligent introduction or history
Artificial Intelligent introduction or historyArtificial Intelligent introduction or history
Artificial Intelligent introduction or history
 
Aritificial intelligence
Aritificial intelligenceAritificial intelligence
Aritificial intelligence
 
AI_ 3 & 4 Knowledge Representation issues
AI_ 3 & 4 Knowledge Representation issuesAI_ 3 & 4 Knowledge Representation issues
AI_ 3 & 4 Knowledge Representation issues
 
Philosophy of AI
Philosophy of AIPhilosophy of AI
Philosophy of AI
 
Introduction to AI
Introduction to AIIntroduction to AI
Introduction to AI
 
Introduction to AI
Introduction to AIIntroduction to AI
Introduction to AI
 
Artificial intelligent
Artificial intelligentArtificial intelligent
Artificial intelligent
 

Semelhante a Opening the door to the Chinese Room: Intersubjectivity and the Phenomenology of AI

Artificial Intelligence A Clarification of Misconceptions, Myths and Desired ...
Artificial Intelligence A Clarification of Misconceptions, Myths and Desired ...Artificial Intelligence A Clarification of Misconceptions, Myths and Desired ...
Artificial Intelligence A Clarification of Misconceptions, Myths and Desired ...
Christiane Moisés
 
Introducting to the Phisology
Introducting to the PhisologyIntroducting to the Phisology
Introducting to the Phisology
MY DEAR CLASS.
 
bhusal2Prepared byDeepak BhusalCWID50259419To P
bhusal2Prepared byDeepak BhusalCWID50259419To Pbhusal2Prepared byDeepak BhusalCWID50259419To P
bhusal2Prepared byDeepak BhusalCWID50259419To P
ChantellPantoja184
 
A paper presentation abstract
A paper presentation abstractA paper presentation abstract
A paper presentation abstract
Jagadeesh Kumar
 

Semelhante a Opening the door to the Chinese Room: Intersubjectivity and the Phenomenology of AI (20)

A Review Of Artificial Intelligence
A Review Of Artificial IntelligenceA Review Of Artificial Intelligence
A Review Of Artificial Intelligence
 
Artificial Intelligence A Clarification of Misconceptions, Myths and Desired ...
Artificial Intelligence A Clarification of Misconceptions, Myths and Desired ...Artificial Intelligence A Clarification of Misconceptions, Myths and Desired ...
Artificial Intelligence A Clarification of Misconceptions, Myths and Desired ...
 
AI CHAPTER 1.pdf
AI CHAPTER 1.pdfAI CHAPTER 1.pdf
AI CHAPTER 1.pdf
 
Introduction to artificial intelligence
Introduction to artificial intelligenceIntroduction to artificial intelligence
Introduction to artificial intelligence
 
Introducting to the Phisology
Introducting to the PhisologyIntroducting to the Phisology
Introducting to the Phisology
 
IB Psychology Cognitive
IB Psychology CognitiveIB Psychology Cognitive
IB Psychology Cognitive
 
An elusive holy grail and many small victories
An elusive holy grail and many small victories An elusive holy grail and many small victories
An elusive holy grail and many small victories
 
Cognitive -Definit,Scope, Evolution.pptx
Cognitive -Definit,Scope, Evolution.pptxCognitive -Definit,Scope, Evolution.pptx
Cognitive -Definit,Scope, Evolution.pptx
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
bhusal2Prepared byDeepak BhusalCWID50259419To P
bhusal2Prepared byDeepak BhusalCWID50259419To Pbhusal2Prepared byDeepak BhusalCWID50259419To P
bhusal2Prepared byDeepak BhusalCWID50259419To P
 
Bhusal2 prepared bydeepak bhusalcwid50259419to p
Bhusal2 prepared bydeepak bhusalcwid50259419to pBhusal2 prepared bydeepak bhusalcwid50259419to p
Bhusal2 prepared bydeepak bhusalcwid50259419to p
 
Machines in the ghost
Machines in the ghostMachines in the ghost
Machines in the ghost
 
Unit 1 ETI notes.pde`e1eeewdddfffffee1q2
Unit 1 ETI  notes.pde`e1eeewdddfffffee1q2Unit 1 ETI  notes.pde`e1eeewdddfffffee1q2
Unit 1 ETI notes.pde`e1eeewdddfffffee1q2
 
Introduction
IntroductionIntroduction
Introduction
 
A paper presentation abstract
A paper presentation abstractA paper presentation abstract
A paper presentation abstract
 
1 Introduction to AI.pptx
1 Introduction to AI.pptx1 Introduction to AI.pptx
1 Introduction to AI.pptx
 
Tutorial 2 agi and consciousness - 3- IIT
Tutorial 2  agi and consciousness - 3- IITTutorial 2  agi and consciousness - 3- IIT
Tutorial 2 agi and consciousness - 3- IIT
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Logic
LogicLogic
Logic
 
Artificial intelligence - Approach and Method
Artificial intelligence - Approach and MethodArtificial intelligence - Approach and Method
Artificial intelligence - Approach and Method
 

Mais de Robert Farrow

Understanding OER, Innovation & Business Models
Understanding OER, Innovation & Business ModelsUnderstanding OER, Innovation & Business Models
Understanding OER, Innovation & Business Models
Robert Farrow
 
The Future OER Ecosystem - On Building a Community for OER in Europe
The Future OER Ecosystem - On Building a Community for OER in EuropeThe Future OER Ecosystem - On Building a Community for OER in Europe
The Future OER Ecosystem - On Building a Community for OER in Europe
Robert Farrow
 
The future OER Ecosystem - On building a community for OER in Europe
 The future OER Ecosystem - On building a community for OER in Europe The future OER Ecosystem - On building a community for OER in Europe
The future OER Ecosystem - On building a community for OER in Europe
Robert Farrow
 
A Framework for Understanding Innovation with OER
A Framework for Understanding Innovation with OERA Framework for Understanding Innovation with OER
A Framework for Understanding Innovation with OER
Robert Farrow
 
The OER Ecosystems of Tomorrow
The OER Ecosystems of TomorrowThe OER Ecosystems of Tomorrow
The OER Ecosystems of Tomorrow
Robert Farrow
 
Open Education as Innovation
Open Education as InnovationOpen Education as Innovation
Open Education as Innovation
Robert Farrow
 

Mais de Robert Farrow (20)

From Openness to Opportunity? Strategical Approaches to OERs Uptake and Use f...
From Openness to Opportunity? Strategical Approaches to OERs Uptake and Use f...From Openness to Opportunity? Strategical Approaches to OERs Uptake and Use f...
From Openness to Opportunity? Strategical Approaches to OERs Uptake and Use f...
 
A Typology for OER Business Models
A Typology for OER Business Models A Typology for OER Business Models
A Typology for OER Business Models
 
Open Education Research: Past, Present, Future
Open Education Research: Past, Present, FutureOpen Education Research: Past, Present, Future
Open Education Research: Past, Present, Future
 
Understanding OER, Innovation & Business Models
Understanding OER, Innovation & Business ModelsUnderstanding OER, Innovation & Business Models
Understanding OER, Innovation & Business Models
 
Sharing innovation practices around OER: theory, practice, examples and debates
Sharing innovation practices around OER: theory, practice, examples and debatesSharing innovation practices around OER: theory, practice, examples and debates
Sharing innovation practices around OER: theory, practice, examples and debates
 
ENCORE+: Your Place in the Open Ecosystem
ENCORE+: Your Place in the Open EcosystemENCORE+: Your Place in the Open Ecosystem
ENCORE+: Your Place in the Open Ecosystem
 
ENCORE+: The Open Educational Resources (OER) Innovation Ecosystem
ENCORE+: The Open Educational Resources (OER) Innovation EcosystemENCORE+: The Open Educational Resources (OER) Innovation Ecosystem
ENCORE+: The Open Educational Resources (OER) Innovation Ecosystem
 
Ethics and Educational Technology
Ethics and Educational TechnologyEthics and Educational Technology
Ethics and Educational Technology
 
Open Mining Education, Ethics & AI
Open Mining Education, Ethics & AIOpen Mining Education, Ethics & AI
Open Mining Education, Ethics & AI
 
The Future OER Ecosystem - On Building a Community for OER in Europe
The Future OER Ecosystem - On Building a Community for OER in EuropeThe Future OER Ecosystem - On Building a Community for OER in Europe
The Future OER Ecosystem - On Building a Community for OER in Europe
 
Explicable Artifical Intelligence for Education (XAIED)
Explicable Artifical Intelligence for Education (XAIED)Explicable Artifical Intelligence for Education (XAIED)
Explicable Artifical Intelligence for Education (XAIED)
 
OER: Key Issues & The "Big Picture"
OER: Key Issues & The "Big Picture"OER: Key Issues & The "Big Picture"
OER: Key Issues & The "Big Picture"
 
The future OER Ecosystem - On building a community for OER in Europe
 The future OER Ecosystem - On building a community for OER in Europe The future OER Ecosystem - On building a community for OER in Europe
The future OER Ecosystem - On building a community for OER in Europe
 
A Framework for Understanding Innovation with OER
A Framework for Understanding Innovation with OERA Framework for Understanding Innovation with OER
A Framework for Understanding Innovation with OER
 
ENCORE+ Innovation and Business Models Circle 2
ENCORE+ Innovation and Business Models Circle 2ENCORE+ Innovation and Business Models Circle 2
ENCORE+ Innovation and Business Models Circle 2
 
OER Ecosystem(s) of Tomorrow #oer22
OER Ecosystem(s) of Tomorrow #oer22OER Ecosystem(s) of Tomorrow #oer22
OER Ecosystem(s) of Tomorrow #oer22
 
The OER Ecosystems of Tomorrow
The OER Ecosystems of TomorrowThe OER Ecosystems of Tomorrow
The OER Ecosystems of Tomorrow
 
Conceptual Frameworks for Doctoral Research into Open Education
Conceptual Frameworks for Doctoral Research into Open EducationConceptual Frameworks for Doctoral Research into Open Education
Conceptual Frameworks for Doctoral Research into Open Education
 
Innovation with Open Educational Resources: The State of the Art
Innovation with Open Educational Resources: The State of the ArtInnovation with Open Educational Resources: The State of the Art
Innovation with Open Educational Resources: The State of the Art
 
Open Education as Innovation
Open Education as InnovationOpen Education as Innovation
Open Education as Innovation
 

Último

Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
KarakKing
 
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdfVishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
ssuserdda66b
 

Último (20)

On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdfVishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
 

Opening the door to the Chinese Room: Intersubjectivity and the Phenomenology of AI

  • 1. Opening the door to the Chinese Room: Intersubjectivity and the Phenomenology of AI Open AIED 19 September 2018 DR. ROBERT FARROW INSTITUTE OF EDUCATIONAL TECHNOLOGY @philosopher1978 rob.farrow@open.ac.uk
  • 3. 3 PERSPECTIVES FROM PHILOSOPHY OF MIND ARTIFICIAL INTELLIGENCE 1. The first thing to say is that many computer scientists and engineers are quite uninterested in the philosophy of artificial intelligence (despite this being where AI comes from as a concept) 2. Philosophers have long been interested in whether a non-human is able to possess a mind or have the attribute of intelligence 3. This has only been from the perspective of computational theories of mind over the last hundred years or so, but can be traced back into the history of philosophy as the mind-body problem 4. The so-called ‘hard problem of consciousness’ is a contemporary example of the mind-body problem 5. Machine functionalism presented the mind as an information processor 6. Turing test was presented as a test of intelligence 7. Searle’s response to machine functionalism: the Chinese Room 8. Thoughts on the potential use of AI in education 9. Concluding thoughts
  • 4. 4 WHY DO HUMAN BEINGS EXPERIENCE PHENOMENA AT ALL? HARD PROBLEM OF CONCIOUSNESS (CHALMERS, 1995) Information flowQualia
  • 5. 5 HOW CAN PHYSICALISM BE RECONCILED WITH MENTAL PHENOMENA? THE MIND-BODY PROBLEM
  • 6. 6 HOW CAN PHYSICALISM BE RECONCILED WITH MENTAL PHENOMENA? THE MIND-BODY PROBLEM The mental and physical are separate (dualism) The mental and physical interact (mental causation) Physics is causally closed (physicalism)
  • 7. 7 THE MIND AS INFORMATION PROCESSOR MACHINE FUNCTIONALISM 1. Puttnam (1967) argues in ‘Psychological Predicates’ that psychological states are not in correspondence with physical states 2. This gives rise to an interest the multiple realisability of mental properties, and hence to functional accounts of the mental 3. For instance, pain reception can be realised in multiple ways in different organisms, but all of these systems have the same ‘function’ 4. For the functionalist, mental states are reducible to functional states: there are no ‘inner’ mental representations and no mental/physical dualism 5. Puttnam frames his discussion of functionalism in terms of ‘Turing machines’ which read & write data along a tape according to a finite set of internal conditions and a consistent symbolic alphabet
  • 8. 8 A TEST OF INTELLIGENCE? TURING TEST Turing’s (1950) famous test of ’intelligence’ Turing’s thesis: if two systems are input-output equivalent they have the same psychological status (Kim, 1998)
  • 9. 9 THE CHINESE ROOM THOUGHT EXPERIMENT JOHN SEARLE (1980) Searle similarly rejects the mind/body problem as a false dichotomy (i.e. he rejects the premise that mind and body are separate in favour of the idea that they are different aspects of a single phenomena). The ‘Chinese Room’ thought experiment is often presented as an argument against ‘Strong AI’ (Dennett) Strong AI thesis: “The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds.” More recently, Searle has framed this thought experiment in terms of the hard problem of consciousness
  • 10. 10 AI IN EDUCATION INTERSUBJECTIVITY? 1. At The Open University AI is being considered for personalised learner support; it would draw on the massive amount of data retained by the university about their students 2. For instance, AI could offer personalised feedback on writing and other work 3. AI could effectively replace a large range of functions in education 4. In May 2018 the OpenAIED group heard a very interesting presentation from Mark Nichols (LTI) on some of the thinking around AI support for students. 5. This drew on Buber’s (1923) account of intersubjectivity which contrasts intersubjective relationships (“I-Thou”) with the world of things (I-It) 6. The suggestion was that AI interactions should be characterised by intersubjectivity and a sense of ‘human’ interaction 7. It’s important to note that intersubjectivity assumes a kind of symmetry between human relationships which expresses itself as forms of mutual recognition – the kind of recognition which machines cannot genuinely reciprocate even if they can simulate it convincingly
  • 11. 11 EVALUATION & MONITORING BRINGING LEARNING TO LIFE https://www.theguardian.com/technology/2018/may/11/google- duplex-ai-identify-itself-as-robot-during-calls
  • 12. 12 SHOULD AI BE RATIONAL, OR BE LIKE HUMANS? ARTIFICIAL INTELLIGENCE: CONTRASTING VISIONS Russell and Norvig (1995, 2002, 2009)
  • 13. 13 SOME THOUGHTS IN CONCLUSION 1. Despite the recent interest in AI from an engineering and computer science perspective there remain unresolved epistemological and metaphysical controversies 2. I hope to have at least indicated that the philosophical issues around AI do have important implications for those building ‘practical’ systems 3. In order to resolve the mind-body problem we necessarily end up taking a reductive approach: in the behaviourist/functionalist tradition mental operations are disregarded in favour of language and behaviour 4. These are structural issues: machine learning has made little progress with representing higher order thoughts, higher levels of abstraction, being creative with language, or ‘common sense’ (Russell & Norvig, 2009) 5. In summary, we might suggest that there is massive hyperbole about the affordances and likely futures of AI: reports of artificial intelligence are greatly exaggerated and it is human intelligence that is being extended 6. All of the AI we refer to is essentially ‘weak’ (i.e. task orientated rather than generalised) intelligence and should perhaps be referred to as ‘augmented’ 7. This is to say nothing of the well documented ethical concerns raised by the use of AI in education
  • 14. THANK YOU rob.farrow@open.ac.uk @philosopher1978 Image credits: Consciousness by sachin modgekar (Noun Project) Thinking by iconoci (Noun Project) translate by Graphic Enginer (Noun Project) Other images believed to be public domain

Notas do Editor

  1. AI regularly hits the headlines these days – but has the quality of AI improved?
  2. Machines may be intelligent, but few claim they are conscious If information flow is all that matters from the perspective of intelligence, then what's the point of conscious experiences? Is our phenomenal experience constitutive of human intelligence? If the answer is affirmative then what is the role of the phenomenal experiences in artificial intelligence when AI’s don’t have them (as far as we can tell)
  3. This is a recent reformulation of the mind/body problem: It should be noted that some philosophers in the continental tradition reject the mind/body distinction as it is customarily formulated
  4. This is a recent reformulation of the mind/body problem: one of the three premises must be rejected to remove contradiction It should be noted that some philosophers in the continental tradition reject the mind/body distinction as it is customarily formulated
  5. Prior to MR it was thought that mental states and physical states were correlated with each other: if my brain state is that same as yours then we have the same mental state
  6. The test involves interacting with an entity through a kind of chat text – if the subject cannot distinguish the responses of human and machine then the machine is considered ‘intelligent’ The test is heavily skewed towards the affordances of a machine and the bar for successful deception (confusion) is low
  7. Is rationality or behaving like a human the more reliable indicator of intelligence? Which is the more desirable in an AI?