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'''PHI598/498 Special Topics''' [[Philosophy and Artificial Intelligence (Crash Course)]]
'''PHI598/498 Special Topics''' [[Philosophy and Artificial Intelligence (Crash Course)]]


'''Cross-listed with TBD'''
:'''Registration: [http://www.buffalo.edu/class-schedule?switch=showclass&semester=fall&division=GRAD&dept=PHI&regnum=24218 Philosophy]
 
'''Cross-listed with Computer Science and Engineering''': Special Topics [https://cse.buffalo.edu/apps/courses/index.php CSE 510/410 LEC SMIT] 
 
:'''Registration: [http://www.buffalo.edu/class-schedule?switch=showclass&semester=fall&division=GRAD&dept=CSE&regnum=25344 Computer Science ]


'''Schedule''': Weekend of October 2-3, 2021
'''Schedule''': Weekend of October 2-3, 2021
Line 7: Line 11:
'''Faculty''': Barry Smith and Jobst Landgrebe
'''Faculty''': Barry Smith and Jobst Landgrebe


'''Venue:''' UB North Campus (room TBD)
'''Venue:''' 280 Park Hall, UB North Campus
 
:'''1 CREDIT HOUR CRASH COURSE'''
 
:'''Background''': A range of traditional philosophical topics appear in a new light when addressed from the perspective of recent research in artificial intelligence.
:These include
::• consciousness and self-consciousness
::• the nature of human and animal intelligence
::• the relation between mind and body
::• the question of human identity
 
:'''Day 1 (Saturday)''' will begin with an introduction to how AI works. An AI application is a set of algorithms that can process information in a way that partially emulates human behavior. Such algorithms presuppose in every case a certain model of the domain from which their input information is derived. We will explore how such models are built, dealing along the way with philosophical topics such as computability, explanation, and prediction.


:For some domains, we can create models based on physical laws or simple rules. For most domains, however, the complexity of the relations involved prevents successful modeling. It is for this reason that we face difficulties when we try to predict, for example, the behaviour of organisms or of financial markets.


:'''Day 2 (Sunday)''' will use what we have learned on Day 1 to address the opportunities and limits of AI in modelling and emulating
:::::::::::::::::<span style="background:#fc3">'''1 CREDIT HOUR CRASH COURSE'''</span>
::• consciousness and self-consciousness
 
::• human language understanding and conversations (including the Turing test and the Chinese room argument)
The course will begin on day 1 with an introduction to how AI works. AI works well in those domains where we can create models based on physical laws or simple rules. But the complexity of the relations involved in many other types of domains prevents successful AI modeling. It is for this reason that we face difficulties when we try to build self-driving cars or to predict the behavior of financial markets. On day 2 we will use what we have learned on day 1 to address the opportunities and limits of AI in modelling and emulating
::• social behaviour and ethics
:• human consciousness and self-consciousness
::• transhumanism, life extension, digital immortality  
:• human language understanding and conversations (including the Turing test and the Chinese room argument)
::• automation systems for business, engineering, and consumer applications
:• social behaviour and ethics
:• transhumanism, life extension, digital immortality
:We will show that AI will not bring cures for (most) deadly diseases, it will not replace human police with intelligent robots, and – except along certain narrow tracks, including game-playing and image recognition – it will not reach a level of intelligence that surpasses that of human beings.
We will show that AI will not bring cures for (most) deadly diseases, it will not replace human police with intelligent robots, and – except along certain narrow tracks, including game-playing and image recognition – it will not reach a level of intelligence that surpasses that of human beings.


The course is designed to be of interest to both philosophy and computer science and engineering students at both graduate and advanced undergraduate levels


'''Pre-requesites''': This course is designed to be of interest to both philosophy and computer science and engineering students at both graduate and advanced undergraduate levels
'''Pre-requisites''': This course is designed to be of interest to both philosophy and computer science and engineering students at both graduate and advanced undergraduate levels


'''Grading''': Grades will be assigned on the basis of class attendance and an essay on a topic to be selected by the student from the topics treated in the class.
'''Grading''': Grades will be assigned on the basis of class attendance and an essay on a topic to be selected by the student from the topics treated in the class.

Latest revision as of 13:45, 30 July 2021

PHI598/498 Special Topics Philosophy and Artificial Intelligence (Crash Course)

Registration: Philosophy

Cross-listed with Computer Science and Engineering: Special Topics CSE 510/410 LEC SMIT

Registration: Computer Science

Schedule: Weekend of October 2-3, 2021

Faculty: Barry Smith and Jobst Landgrebe

Venue: 280 Park Hall, UB North Campus


1 CREDIT HOUR CRASH COURSE

The course will begin on day 1 with an introduction to how AI works. AI works well in those domains where we can create models based on physical laws or simple rules. But the complexity of the relations involved in many other types of domains prevents successful AI modeling. It is for this reason that we face difficulties when we try to build self-driving cars or to predict the behavior of financial markets. On day 2 we will use what we have learned on day 1 to address the opportunities and limits of AI in modelling and emulating

• human consciousness and self-consciousness
• human language understanding and conversations (including the Turing test and the Chinese room argument)
• social behaviour and ethics
• transhumanism, life extension, digital immortality

We will show that AI will not bring cures for (most) deadly diseases, it will not replace human police with intelligent robots, and – except along certain narrow tracks, including game-playing and image recognition – it will not reach a level of intelligence that surpasses that of human beings.

The course is designed to be of interest to both philosophy and computer science and engineering students at both graduate and advanced undergraduate levels

Pre-requisites: This course is designed to be of interest to both philosophy and computer science and engineering students at both graduate and advanced undergraduate levels

Grading: Grades will be assigned on the basis of class attendance and an essay on a topic to be selected by the student from the topics treated in the class.

Jobst Landgrebe is a scientist and entrepreneur with a background in mathematics, neuroscience, neuroinformatics, and philosophy. Landgrebe is also the founder of Cognotekt, a German AI company which has since 2013 provided working systems used by companies in areas such as insurance claims management, real-estate management, and medical billing.

Barry Smith is Distinguished Professor of Philosophy with cross-appointments in the UB Departments of Biomedical Informatics, Computer Science and Engineering, and Neurology.

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