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ML: AI. Robots and ethics
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ML: AI. Robots and ethics

Informacje ogólne

Kod przedmiotu: WF-OB-GUNKEL2 Kod Erasmus / ISCED: 07.2 / (brak danych)
Nazwa przedmiotu: ML: AI. Robots and ethics
Jednostka: Instytut Ekologii i Bioetyki
Grupy:
Strona przedmiotu: http://gunkelweb.com/robot-ethics
Punkty ECTS i inne: (brak)
zobacz reguły punktacji
Język prowadzenia: angielski
Poziom przedmiotu: zaawansowany
Symbol/Symbole efektów kształcenia: wpisz symbol/symbole efektów kształcenia
Skrócony opis:

This seminar engages students in a critical examination of state-of-the-art thinking in technology and ethics. The course is primarily organized around the reading of seminal texts in the field in order to provide students with a survey of the relevant literature on this subject and the basic knowledge and skills to engage effectively in the debates concerning this new development in moral thinking.

Pełny opis:

One of the enduring concerns of moral philosophy is deciding who or what is deserving of ethical consideration. Although initially limited to "other men," the practice of ethics has developed in such a way that it continually challenges its own restrictions and comes to encompass what had been previously excluded individuals and groups—foreigners, women, animals, and even the environment. Currently, we stand on the verge of another, fundamental challenge to moral thinking. This challenge comes from the autonomous, intelligent machines of our own making, and it puts into question many deep-seated assumptions about who or what constitutes a moral subject. This seminar engages students in a critical examination of state-of-the-art thinking in technology and ethics. The course is primarily organized around the reading of seminal texts in the field in order to provide students with a survey of the relevant literature on this subject and the basic knowledge and skills to engage effectively in the debates concerning this new development in moral thinking.

Literatura:

The Problem

Week 1 – David Gunkel, The Machine Question - Introduction

Sue Halpern, “How Robots & Algorithms are Taking Over”

Tools, Technologies and Machines

Week 2 - Deborah Johnson, “Computer Systems: Moral Entities but not Moral Agents”

J. Storrs Hall, “Ethics for Machines”

Moral Agency

Week 3 – Michael Anderson et al, “Toward Machine Ethics”

Colin Allen et al, “Prolegomena to any Future Artificial Moral Agent”

Week 4 - Kenneth Einar Himma, “Artificial Agency and Consciousness”

John Sullins, “When is a Robot a Moral Agent?”

Week 5 – David Gunkel, The Machine Question - Moral Agency

Moral Patiency

Week 6 – David Calverley, “Imagining a Non-Biological Machine as a Legal Person”

Joanna Bryson, “Robots Should be Slaves”

Week 7 – David Gunkel, The Machine Question - Moral Patiency

Other Approaches

Week 8 – Luciano Floridi, “Information Ethics”

Week 9 – Mark Coeckelbergh, Growing Moral Relations (excerpt)

Week 10 – David Gunkel, The Machine Question - Thinking Otherwise

Efekty kształcenia:

Skills – Students will learn 1) to read and evaluate different kinds of writings in the field machine ethics, robot ethics, and AI ethics; 2) to identify and evaluate the important ethical issues regarding advanced technology, machine intelligence, and autonomous systems; 3) to analyze different kinds of philosophical arguments regarding this subject matter; and 4) to construct and defend philosophical positions and present them persuasively to others.

Students will acquire critical understanding of 1) the influential thinkers and texts in the field of AI, robots and ethics; 2) the innovative moral theories and research methods that have been developed and deployed by philosophers, engineers, and computer scientists; and 3) the opportunities and challenges confronting current and future developments in this new field of study.

Metody i kryteria oceniania:

Student evaluation will take place by way of one of two assessment options: 1) a written comprehensive examination or 2) an individual research paper of approximately 15 pages. Students will have the ability to select which assessment option works best for them and their program of study.

Exam - The exam will consist of 4 short answer questions that will ask students to reflect on the course readings and the lectures. Each question will require students to provide both factual data, drawn from our work in the course, and a critical analysis of an issue or problem in the field of AI, robots, and ethics. The examination questions will be distributed at the end of the last lecture on 15 January 2016. Students will be asked to complete the exam outside class and email their answers to the instructor by 12:00 (Warsaw time) on 19 January 2016. Late examinations will not be evaluated. In responding to the exam questions, students may use any materials they need to construct a thoughtful and persuasive response (course readings, the Internet, their notes from the lectures, etc.).

Paper - The term paper should be an argumentative, philosophical essay of approximately 8,000 words, notes and bibliography included. Students may select any topic or subject matter related to the content of the course, and they are encouraged to pursue their own interests and line of inquiry. Papers should be written in English using any of the standard citation methods (MLA, APA, Chicago, etc.). Completed papers should be delivered in both hard copy to the instructor on the final day of lectures in Warsaw (15 January 2016) and in digital form (pdf document) via email. Late papers will not be accepted or evaluated.

Przedmiot nie jest oferowany w żadnym z aktualnych cykli dydaktycznych.
Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet Kardynała Stefana Wyszyńskiego w Warszawie.