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61 - 70 of 88 results for: artificial intelligence

MED 285: Global Leaders and Innovators in Human and Planetary Health (HRP 285)

Special Focus- US and Global Responses in Combatting Coronavirus/COVID-19nAre you interested in innovative ideas and strategies for addressing urgent challenges in human and planetary health? This lecture series features a selection of noteworthy leaders, innovators and experts across diverse sectors such as: healthcare/medical innovation, foundations/venture capital, biotechnology/pharmaceuticals, social innovation/entrepreneurship health, tech/media and artificial intelligence (AI), human rights, global poverty/development, sustainable agriculture/hunger/nutrition. Co-convened by faculty, fellows and students collaborating across several Stanford centers, the course invites the discussion of global problems, perspectives and solutions in the fields of health and the environment. Students from all backgrounds are encouraged to enroll - registration open to all Stanford students and fellows. May be repeated for credit.
Terms: Aut, Spr | Units: 1-2

MUSIC 223C: Tradition, Experimentation, and Technology in String Quartet Composition and Performance

This course will explore string quartet composition and performance by focusing in on the act of composer-performer collaboration. It will investigate this relationship and its facets through the composition of a work for the Saint Lawrence String Quartet by Patricia Alessandrini based on the SLSQ's relationship with the Opus 76 quartets of Haydn employing Artificial Intelligence (AI) techniques, in addition to workshopping of student exercises and compositions. Students will have the opportunity to participate in the class as performers, composers, technologists, or musicologically, through analysis of the collaborative process informed by concepts such as agency, representation, interpretation, expression, and experimentation.
Terms: Spr | Units: 1-3

OIT 249: MSx: Data and Decisions

Data and Decisions teaches you how to use data and quantitative reasoning to make sound decisions in complex and uncertain environments. The course draws on probability, statistics, and decision theory. Probabilities provide a foundation for understanding uncertainties, such as the risks faced by investors, insurers, and capacity planners. We will discuss the mechanics of probability (manipulating some probabilities to get others) and how to use probabilities to make decisions about uncertain events. Statistics allows managers to use small amounts of information to answer big questions. For example, statistics can help predict whether a new product will succeed or what revenue will be next quarter. The third topic, decision analysis, uses probability and statistics to plan actions, such as whether to test a new drug, buy an option, or explore for oil. In addition to improving your quantitative reasoning skills, this class seeks to prepare you for later classes that draw on this material, including finance, economics, marketing, and operations. At the end we will discuss how this material relates to machine learning and artificial intelligence.
Last offered: Summer 2019

OSPKYOTO 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 (th more »
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

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 t more »
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)
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