Бакалавриат
2023/2024
Философия искусственного интеллекта
Статус:
Курс по выбору (Философия)
Направление:
47.03.01. Философия
Кто читает:
Школа философии и культурологии
Где читается:
Факультет гуманитарных наук
Когда читается:
3-й курс, 4 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Преподаватели:
Вервурт Луи Поль Дж.
Язык:
английский
Кредиты:
3
Контактные часы:
40
Course Syllabus
Abstract
This course is an introduction to the philosophy and ethics of Artificial Intelligence (AI), and of robots based on AI. AI is a recent technology that is already widely used, and that will become particularly powerful and ubiquitous in the near future. Several researchers and writers have extolled the quasi-unlimited potential of this technology; others have warned for an imminent ‘singularity’ in human history in which superintelligent AI systems will overtake the hegemony over people. We will start with having a look at what AI and Machine Learning are, and at the tasks they can execute for the time being. The main part of the course will be dedicated to questions as: What is the difference between human intelligence and AI? Could computers have a mind and consciousness? Is thinking computing? Can ChatGPT think? How could AI evolve, ideally and less ideally? What are the risks related to AI? Can we ensure that AI behaves ethically? Which ethical principles (and governmental rules) have been proposed for the reasonable use of AI? What is the research done at HSE related to these questions?
Learning Objectives
- Have basic analytic and synthetic knowledge of the main themes and questions related to the philosophy and ethics of AI.
- Be able to critically engage with philosophical literature on the conceptual foundations of AI.
Expected Learning Outcomes
- Know the basic problems and theories on the philosophy and ethics of AI.
- Know key definitions of concepts related to intelligence, mind, consciousness, Turing test, Goedel’s theorem and other concepts seen in the course.
- Understand the difference human / artificial intelligence.
- Know the key ethical issues related to AI.
- Have a conceptual basis for assessing the potential, the possible evolution, the risks of AI.
- Have a basis for thinking creatively about new developments in AI.
- Present and argue for key ideas in the philosophical and scientific debate.
Course Contents
- Intro. What is AI ? What is intelligence ?
- Intro. Artificial Neural Nets (ANN)
- Foundations of AI; some history.
- Foundations of AI; some history2.
- Intro on (normative) ethics. What is ethics?
- Weak AI versus strong AI.
- Ethics of AI 1
- Ethics of AI 2
- Ethics of AI 3
Assessment Elements
- Test 1In week 4 students will do a written in-class test of about 30-45 min about all course content seen in the first 4 weeks.
- OralPres1The students will present in small groups a chapter of a book by using a Powerpoint presentation. Goal is to explain the content of the chapter as clearly as possible to fellow students. The students who do not present are asked to participate in the discussion after the presentation.
- OralPres2The students will present in small groups an original reflection on a problem (drawn from a list of problems/questions). They will present their results of a mini-research project by a Powerpoint presentation (so compared to OralPres1, OralPres2 demands personal, creative thinking).
- ExamIn the last week of the course students will do a written in-class test/exam.
Interim Assessment
- 2023/2024 4th module0.35 * Exam + 0.2 * OralPres1 + 0.2 * OralPres2 + 0.25 * Test 1
Bibliography
Recommended Core Bibliography
- AI ethics, Coeckelbergh, M., 2020
Recommended Additional Bibliography
- Gordon, B. M. (2011). Artificial Intelligence : Approaches, Tools, and Applications. New York: Nova Science Publishers, Inc. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=440805