printer friendly pageOSPKYOTO 221K: Artificial Intelligence: Principles and Techniques
Artificial intelligence (AI) has had a huge impact in many areas, including medical diagnosis, speech recognition, robotics, web search, advertising, and scheduling. This course focuses on the foundational concepts that drive these applications. In short, AI is the mathematics of making good decisions given incomplete information (hence the need for probability) and limited computation (hence the need for algorithms). Specific topics include search, constraint satisfaction, game playing, Markov decision processes, graphical models, machine learning, and logic. Same as
CS 221. Prerequisites:
CS 103 or
CS 103B/X,
CS 106B or
CS 106X,
CS 107, and
CS 109 (algorithms, probability, and programming experience)
Terms: Aut
| Units: 3-4
PHIL 20N: Philosophy of Artificial Intelligence
Is it really possible for an artificial system to achieve genuine intelligence: thoughts, consciousness, emotions? What would that mean? How could we know if it had been achieved? Is there a chance that we ourselves are artificial intelligences? Would artificial intelligences, under certain conditions, actually be persons? If so, how would that affect how they ought to be treated and what ought to be expected of them? Emerging technologies with impressive capacities already seem to function in ways we do not fully understand. What are the opportunities and dangers that this presents? How should the promises and hazards of these technologies be managed?nnPhilosophers have studied questions much like these for millennia, in scholarly debates that have increased in fervor with advances in psychology, neuroscience, and computer science. The philosophy of mind provides tools to carefully address whether genuine artificial intelligence and artificial personhood are possible. Epistemology (the philosophy of knowledge) helps us ponder how we might be able to know. Ethics provides concepts and theories to explore how all of this might bear on what ought to be done. We will read philosophical writings in these areas as well as writings explicitly addressing the questions about artificial intelligence, hoping for a deep and clear understanding of the difficult philosophical challenges the topic presents.nnNo background in any of this is presupposed, and you will emerge from the class having made a good start learning about computational technologies as well as a number of fields of philosophical thinking. It will also be a good opportunity to develop your skills in discussing and writing critically about complex issues.
Terms: Win
| Units: 3
Instructors:
Etchemendy, J. (PI)
PHIL 72: Contemporary Moral Problems (ETHICSOC 185M, POLISCI 134P)
This course is an introduction to contemporary ethical thought with a focus on the morality of harming others and saving others from harm. It aims to develop students' ability to think carefully and rationally about moral issues, to acquaint them with modern moral theory, and to encourage them to develop their own considered positions about important real-world issues. In the first part of the course, we will explore fundamental topics in the ethics of harm. Among other questions, we will ask: How extensive are one's moral duties to improve the lives of the less fortunate? When is it permissible to inflict harm on others for the sake of the greater good? Does the moral permissibility of a person's action depend on her intentions? Can a person be harmed by being brought into existence? In the second part of the course, we will turn to practical questions. Some of these will be familiar; for example: Is abortion morally permissible? What obligations do we have to protect the planet for the sake of future generations? Other questions we will ask are newer and less well-trodden. These will include: How does the availability of new technology, in particular artificial intelligence, change the moral landscape of the ethics of war? What moral principles should govern the programming and operation of autonomous vehicles?
Terms: Win
| Units: 4-5
| UG Reqs: GER:EC-EthicReas, WAY-ER
Instructors:
Karhu, T. (PI)
PHIL 82: Ethics, Public Policy, and Technological Change (COMM 180, CS 182, ETHICSOC 182, POLISCI 182, PUBLPOL 182)
Examination of recent developments in computing technology and platforms through the lenses of philosophy, public policy, social science, and engineering. Course is organized around four main units: algorithmic decision-making and bias; data privacy and civil liberties; artificial intelligence and autonomous systems; and the power of private computing platforms. Each unit considers the promise, perils, rights, and responsibilities at play in technological developments. Prerequisite:
CS106A.
Terms: Win
| Units: 5
| UG Reqs: WAY-ER
PHIL 134: Phenomenology: Husserl (PHIL 234)
(Graduate students register for 234.) Neuroscience, psychology, linguistics, artificial intelligence, and other related fields face fundamental obstacles when they turn to the study of the mind. Can there be a rigorous science of us? German philosopher Edmund Husserl (1859-1938), founder of phenomenology, devised a method intended to disclose the basic structures of minds. In this class, we will read one of Husserl¿s major later works, Cartesian Meditations, as well as companion essays from both his time and ours. A guiding question for us will be how phenomenology is applied outside of philosophy¿specifically, how has it influenced discussions of the mind in the sciences? Prerequisite: one prior course in philosophy, or permission of instructor.
Terms: Spr
| Units: 4
| UG Reqs: GER:DB-Hum
Instructors:
Jackson, G. (PI)
PHIL 153L: Computing Machines and Intelligence (PHIL 253L)
In this course we will explore the central question of what intelligence is by adopting artificial intelligence research as a point of reference. Starting with ideas proposed by Alan Turing in his 1950 paper, we will see what the contemporary interpretations are for those questions, and learn what new questions new technologies have brought. Among the subtopics are: Is it possible for a computer to think? What is thought? Are we computers? Could machines feel emotions or be conscious? Can AI die? Is there a relation between AI and decidability? What is the relationship between AI and Neuroscience Research? nThis course is intended for students of different majors interested in learning how the researchers in AI understand today the concept of intelligent machine, and examine what are the philosophical problems associated with the concept of artificial intelligence.
Last offered: Autumn 2018
PHIL 234: Phenomenology: Husserl (PHIL 134)
(Graduate students register for 234.) Neuroscience, psychology, linguistics, artificial intelligence, and other related fields face fundamental obstacles when they turn to the study of the mind. Can there be a rigorous science of us? German philosopher Edmund Husserl (1859-1938), founder of phenomenology, devised a method intended to disclose the basic structures of minds. In this class, we will read one of Husserl¿s major later works, Cartesian Meditations, as well as companion essays from both his time and ours. A guiding question for us will be how phenomenology is applied outside of philosophy¿specifically, how has it influenced discussions of the mind in the sciences? Prerequisite: one prior course in philosophy, or permission of instructor.
Terms: Spr
| Units: 4
Instructors:
Jackson, G. (PI)
PHIL 253L: Computing Machines and Intelligence (PHIL 153L)
In this course we will explore the central question of what intelligence is by adopting artificial intelligence research as a point of reference. Starting with ideas proposed by Alan Turing in his 1950 paper, we will see what the contemporary interpretations are for those questions, and learn what new questions new technologies have brought. Among the subtopics are: Is it possible for a computer to think? What is thought? Are we computers? Could machines feel emotions or be conscious? Can AI die? Is there a relation between AI and decidability? What is the relationship between AI and Neuroscience Research? nThis course is intended for students of different majors interested in learning how the researchers in AI understand today the concept of intelligent machine, and examine what are the philosophical problems associated with the concept of artificial intelligence.
Last offered: Autumn 2018
POLISCI 134P: Contemporary Moral Problems (ETHICSOC 185M, PHIL 72)
This course is an introduction to contemporary ethical thought with a focus on the morality of harming others and saving others from harm. It aims to develop students' ability to think carefully and rationally about moral issues, to acquaint them with modern moral theory, and to encourage them to develop their own considered positions about important real-world issues. In the first part of the course, we will explore fundamental topics in the ethics of harm. Among other questions, we will ask: How extensive are one's moral duties to improve the lives of the less fortunate? When is it permissible to inflict harm on others for the sake of the greater good? Does the moral permissibility of a person's action depend on her intentions? Can a person be harmed by being brought into existence? In the second part of the course, we will turn to practical questions. Some of these will be familiar; for example: Is abortion morally permissible? What obligations do we have to protect the planet for the sake of future generations? Other questions we will ask are newer and less well-trodden. These will include: How does the availability of new technology, in particular artificial intelligence, change the moral landscape of the ethics of war? What moral principles should govern the programming and operation of autonomous vehicles?
Terms: Win
| Units: 4-5
| UG Reqs: GER:EC-EthicReas, WAY-ER
Instructors:
Karhu, T. (PI)
POLISCI 182: Ethics, Public Policy, and Technological Change (COMM 180, CS 182, ETHICSOC 182, PHIL 82, PUBLPOL 182)
Examination of recent developments in computing technology and platforms through the lenses of philosophy, public policy, social science, and engineering. Course is organized around four main units: algorithmic decision-making and bias; data privacy and civil liberties; artificial intelligence and autonomous systems; and the power of private computing platforms. Each unit considers the promise, perils, rights, and responsibilities at play in technological developments. Prerequisite:
CS106A.
Terms: Win
| Units: 5
| UG Reqs: WAY-ER
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