Uniwersytet Warszawski, Wydział Nauk Ekonomicznych - Centralny System Uwierzytelniania
Strona główna

AI Emotions. Affective Computing in Dialogue with Literature, Film, and Philosophy

Informacje ogólne

Kod przedmiotu: 3700-AL-AIE-OG
Kod Erasmus / ISCED: 08.0 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0220) Nauki humanistyczne Kod ISCED - Międzynarodowa Standardowa Klasyfikacja Kształcenia (International Standard Classification of Education) została opracowana przez UNESCO.
Nazwa przedmiotu: AI Emotions. Affective Computing in Dialogue with Literature, Film, and Philosophy
Jednostka: Wydział "Artes Liberales"
Grupy: Przedmioty oferowane przez Kolegium Artes Liberales
Przedmioty ogólnouniwersyteckie humanistyczne
Przedmioty ogólnouniwersyteckie na Uniwersytecie Warszawskim
Przedmioty ogólnouniwersyteckie Wydziału "Artes Liberales"
Punkty ECTS i inne: (brak) Podstawowe informacje o zasadach przyporządkowania punktów ECTS:
  • roczny wymiar godzinowy nakładu pracy studenta konieczny do osiągnięcia zakładanych efektów uczenia się dla danego etapu studiów wynosi 1500-1800 h, co odpowiada 60 ECTS;
  • tygodniowy wymiar godzinowy nakładu pracy studenta wynosi 45 h;
  • 1 punkt ECTS odpowiada 25-30 godzinom pracy studenta potrzebnej do osiągnięcia zakładanych efektów uczenia się;
  • tygodniowy nakład pracy studenta konieczny do osiągnięcia zakładanych efektów uczenia się pozwala uzyskać 1,5 ECTS;
  • nakład pracy potrzebny do zaliczenia przedmiotu, któremu przypisano 3 ECTS, stanowi 10% semestralnego obciążenia studenta.

zobacz reguły punktacji
Język prowadzenia: angielski
Rodzaj przedmiotu:

ogólnouniwersyteckie

Założenia (opisowo):

The only prerequisite is to be able to do the readings in English. The written work will be done either in English or Polish, according to the individual choice of the student (students are also welcome to do their written work in French if they wish to do so).

Skrócony opis:

The course has three main goals:

- To train students’ interpretative skills through reading of philosophical and literary texts (in English), as well as through viewing of movies devoted to the affective interrelation between humans and AI,

- To foster a constructive exchange of ideas in an academic setting,

- To promote the students’ original conceptualization of fundamental questions pertaining to the topic of the course.

The goal of this class is not to promote any particular philosophical or ideological agenda.

Plan of the course: See the “List of topics” in the part B of this form.

Course Materials: They will be available on the Moodle page of the course. In order to get access to this webpage, please contact Prof. Miernowski immediately after registering at jmiernow@wisc.edu

Pełny opis:

Since the famous 1950 article by Alan Turing in the quarterly Mind, Artificial Intelligence has been traditionally conceived in terms of its cognitive potential. Yet quickly Turing’s question “Can machines think?” was supplemented by the question “Do machines have consciousness?” In this seminar, we will shift the focus even further and ask ourselves the question “Do machines have emotions?” This question was raised in 1997 by Roselind W. Picard in her foundational book Affective Computing. Since then, Affective Computing became an important branch of AI design. Over the last two decades, its development coincided with the dynamic unfolding of machine learning.

Philosophy, literature, and cinema react vividly to these technological breakthroughs. They provide a conceptual and a fictional space that allows us to play out the dreams and trace the limits of AI emotionality. Most importantly they persistently restate and question the distinction between what is human and what is non-human in our relationship with machines.

Here are some of the questions studied in this seminar: What are the benefits and risks of likeable machines (“ethopoeia”)? Why AI develops biases (“the alignment problem”)? Is AI capable of ascribing intentions to humans and other machines (“theory of mind”)? What can be done with dead people online (“digital zombies”)? How to not befriend an AI (“Replika”)? Etc.

The seminar will be divided into seven thematic units, each spanning over two class meetings (14 class meetings in total). Each thematic unit will be devoted to an affective and ethical problem stemming from the development of AI in our culture. Our in-class discussions will rely on close reading of articles, fragments of books, and films of manageable length that we will read (or watch), interpret, and discuss in English. The readings of the seminar will be composed of approachable philosophical essays (Brian Christian, David Chalmers, Catherine Malabou, etc.); theatrical plays and fragments of novels (Tom Stoppard, Jordan Harrison, etc.); and movies (Spike Jonze, Alex Garland, etc.). The technical notions will be reduced to the necessary minimum and made understandable through short lectures, to provide the basis for philosophical considerations and literary interpretations. Students will have the option of doing their written work in English, Polish or French.

In the last part of the semester students will be invited to work on their individual (or team) research projects, some of which may include experimental scenarios of interaction between students and AI (freely available companion chatbots). The semester will conclude with a small Seminar Symposium during which students will present their Research Projects.

Efekty uczenia się:

The class is directed at BA and MA students.

K_W08 having organized knowledge on the main trends in philosophical and social thought in a historical and contemporary perspective

 having good organized knowledge on the main trends in philosophical and social thought in a historical and contemporary perspective

K_W13 knowing the main methods of interpreting literary and philosophical texts and textual historical sources

 knowing various methods of interpreting literary and philosophical texts and textual historical sources

K_W14 knowing the main methods of analysis in cultural studies, history, social studies and philosophy in a historical perspective

 comprehensive and in depth knowing of methods of analysis in cultural studies, history, social studies and philosophy in a historical perspective

K_U05 basic skills in using interdisciplinary research methods and tools to analyse phenomena of contemporary culture

K_U08 presenting the results of one’s own analysis of research problems in oral, written and multimedia form

K_K02 understanding the principles, rules and necessity of group work

K_K07 understanding the principles of tolerance and cultural differences

Metody i kryteria oceniania:

In order to be successful in this class you should:

- read carefully all the required readings and work on all the required lectures

- participate actively in all the in-class discussions

- strive to develop your own personal interpretation of readings and your own conceptualization of problems under discussion

- respect the deadlines of all the assignments in this course.

The final grade of the course is composed of:

- 50% for the Research Project;

- 30% for quizzes written during the semester. The quizzes will have the form of “take home exams”: the students will have up to 24 hours to complete each quiz and they will be allowed to use any notes or library sources they wish (all sources have to be acknowledged). 3 out of 4 best grades for the quizzes will count toward the final grade.

- 20% for the preparation of readings and film viewings, as demonstrated by the assiduity and the quality of participation in the discussions in class.

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 Warszawski, Wydział Nauk Ekonomicznych.
ul. Długa 44/50
00-241 Warszawa
tel: +48 22 55 49 126 https://www.wne.uw.edu.pl/
kontakt deklaracja dostępności USOSweb 7.0.3.0 (2024-03-22)