Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Wydział Technologii i Inżynierii Chemicznej - Inżynieria chemiczna i procesowa (S1)

Sylabus przedmiotu Philosophy of Artificial Intelligence:

Informacje podstawowe

Kierunek studiów Inżynieria chemiczna i procesowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta inżynier
Obszary studiów charakterystyki PRK, kompetencje inżynierskie PRK
Profil ogólnoakademicki
Moduł
Przedmiot Philosophy of Artificial Intelligence
Specjalność przedmiot wspólny
Jednostka prowadząca Studium Nauk Humanistycznych i Społecznych
Nauczyciel odpowiedzialny Dariusz Zienkiewicz <Dariusz.Zienkiewicz@zut.edu.pl>
Inni nauczyciele Katarzyna Szymańska <Katarzyna_Szymanska@zut.edu.pl>, Dariusz Zienkiewicz <Dariusz.Zienkiewicz@zut.edu.pl>
ECTS (planowane) 2,0 ECTS (formy) 2,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny 24 Grupa obieralna 2

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW1 30 2,01,00zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1No entry requirements.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The aim of education in the field of philosophy of artificial intelligence is to introduce the student to the history of research and philosophical reflection on the possibilities of an artificial intelligence project. After completing the course, the student will be able to characterize individual philosophical positions regarding artificial intelligence, compare them, argue - pointing out the advantages and disadvantages of individual positions, and make a choice between them depending on the adopted criteria. He will be able to analyze the impact of AI on society and differentiate ethical views on this issue.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
wykłady
T-W-1Artificial intelligence – definitions and history.4
T-W-2Gödel's theorems and their significance for the artificial intelligence project.2
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.2
T-W-4The Turing Test and Searle's Chinese Room Argument.2
T-W-5Intelligence and consciousness (selected concepts of consciousness and intelligence). Can "real" artificial intelligence do without consciousness? The problem of intentionality as the subjective ability to relate to oneself and artificial intelligence.4
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human intelligence)4
T-W-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.4
T-W-8Consequences of AI development (GPT chat – applications, benefits and threats, AI ethics, social changes, cyborgization of society).4
T-W-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.4
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
wykłady
A-W-1participation in lectures30
A-W-2preparation for test10
A-W-3literature analysis8
A-W-4consultations2
50

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1informative lecture
M-2problem lecture
M-3discussion
M-4multimedia presentation
M-5work in groups

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: assessment of activity during discussions, group work and problem-based lectures
S-2Ocena podsumowująca: test

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ICHP_1A_A13b_W01
Knows, understands and is able to characterize individual philosophical positions regarding artificial intelligence.
ICHP_1A_W16C-1T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-8, T-W-9M-1, M-2, M-3, M-4, M-5S-1, S-2

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ICHP_1A_A13b_U01
The student is able to compare various positions regarding artificial intelligence - pointing out their advantages and disadvantages, and is able to choose between them depending on the adopted criteria.
ICHP_1A_U01, ICHP_1A_U14C-1T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-8, T-W-9M-1, M-2, M-3, M-4, M-5S-1, S-2

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaOdniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżynieraCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
ICHP_1A_A13b_K01
The student is ready to make decisions based on the analysis of the impact of AI on society and to differentiate ethical views on this issue.
ICHP_1A_K06, ICHP_1A_K02C-1T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-8, T-W-9M-1, M-2, M-3, M-4, M-5S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
ICHP_1A_A13b_W01
Knows, understands and is able to characterize individual philosophical positions regarding artificial intelligence.
2,0
3,0It characterizes at a basic level the philosophical positions regarding artificial intelligence.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
ICHP_1A_A13b_U01
The student is able to compare various positions regarding artificial intelligence - pointing out their advantages and disadvantages, and is able to choose between them depending on the adopted criteria.
2,0
3,0Demonstrates basic skills in comparing the discussed philosophical positions in relation to artificial intelligence.
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
ICHP_1A_A13b_K01
The student is ready to make decisions based on the analysis of the impact of AI on society and to differentiate ethical views on this issue.
2,0
3,0Demonstrates basic competencies enabling the assessment of the impact of AI on society.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Henry A Kissinger, Eric Schmidt, Daniel Huttenlocher, The Age of AI: And Our Human Future, John Murray Press, 2022
  2. Markus D. Dubber (ed.), Frank Pasquale (ed.), Sunit Das (ed.), The Oxford Handbook of Ethics of AI, Oxford University Press, 2020
  3. Kaplan Jerry, Artificial Intelligence. What everyone needs to know, Oxford University Press, 2016
  4. Stephen Hawking, Will Artificial Intelligence Outsmart Us?, John Murray Press, 2022

Literatura dodatkowa

  1. Lennox John C., 2084: Artificial Intelligence and the Future of Humanity, Zondervan, 2020
  2. Y.N. Harari, Homo deus. A bief history of tommorow, Vintage, 2017

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Artificial intelligence – definitions and history.4
T-W-2Gödel's theorems and their significance for the artificial intelligence project.2
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.2
T-W-4The Turing Test and Searle's Chinese Room Argument.2
T-W-5Intelligence and consciousness (selected concepts of consciousness and intelligence). Can "real" artificial intelligence do without consciousness? The problem of intentionality as the subjective ability to relate to oneself and artificial intelligence.4
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human intelligence)4
T-W-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.4
T-W-8Consequences of AI development (GPT chat – applications, benefits and threats, AI ethics, social changes, cyborgization of society).4
T-W-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.4
30

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1participation in lectures30
A-W-2preparation for test10
A-W-3literature analysis8
A-W-4consultations2
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięICHP_1A_A13b_W01Knows, understands and is able to characterize individual philosophical positions regarding artificial intelligence.
Odniesienie do efektów kształcenia dla kierunku studiówICHP_1A_W16ma wiedzę niezbędną do rozumienia pozatechnicznych uwarunkowań działalności inżynierskiej; zna podstawowe zasady bezpieczeństwa i higieny pracy obowiązujące w przemyśle
Cel przedmiotuC-1The aim of education in the field of philosophy of artificial intelligence is to introduce the student to the history of research and philosophical reflection on the possibilities of an artificial intelligence project. After completing the course, the student will be able to characterize individual philosophical positions regarding artificial intelligence, compare them, argue - pointing out the advantages and disadvantages of individual positions, and make a choice between them depending on the adopted criteria. He will be able to analyze the impact of AI on society and differentiate ethical views on this issue.
Treści programoweT-W-1Artificial intelligence – definitions and history.
T-W-2Gödel's theorems and their significance for the artificial intelligence project.
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.
T-W-4The Turing Test and Searle's Chinese Room Argument.
T-W-5Intelligence and consciousness (selected concepts of consciousness and intelligence). Can "real" artificial intelligence do without consciousness? The problem of intentionality as the subjective ability to relate to oneself and artificial intelligence.
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human intelligence)
T-W-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.
T-W-8Consequences of AI development (GPT chat – applications, benefits and threats, AI ethics, social changes, cyborgization of society).
T-W-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.
Metody nauczaniaM-1informative lecture
M-2problem lecture
M-3discussion
M-4multimedia presentation
M-5work in groups
Sposób ocenyS-1Ocena formująca: assessment of activity during discussions, group work and problem-based lectures
S-2Ocena podsumowująca: test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0It characterizes at a basic level the philosophical positions regarding artificial intelligence.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięICHP_1A_A13b_U01The student is able to compare various positions regarding artificial intelligence - pointing out their advantages and disadvantages, and is able to choose between them depending on the adopted criteria.
Odniesienie do efektów kształcenia dla kierunku studiówICHP_1A_U01potrafi pozyskiwać informacje z literatury, baz danych oraz innych źródeł związanych z inżynierią chemiczną i procesową i dziedzinami pokrewnymi, potrafi integrować uzyskane informacje, interpretować oraz wyciągać prawidłowe wnioski i formułować opinie wraz z ich uzasadnieniem
ICHP_1A_U14potrafi wykorzystać nabytą wiedzę do krytycznej analizy i oceny sposobu funkcjonowania, zwłaszcza w zakresie inżynierii chemicznej i procesowej, istniejących rozwiązań technicznych, w szczególności procesów, urządzeń, aparatów, instalacji, obiektów i systemów
Cel przedmiotuC-1The aim of education in the field of philosophy of artificial intelligence is to introduce the student to the history of research and philosophical reflection on the possibilities of an artificial intelligence project. After completing the course, the student will be able to characterize individual philosophical positions regarding artificial intelligence, compare them, argue - pointing out the advantages and disadvantages of individual positions, and make a choice between them depending on the adopted criteria. He will be able to analyze the impact of AI on society and differentiate ethical views on this issue.
Treści programoweT-W-1Artificial intelligence – definitions and history.
T-W-2Gödel's theorems and their significance for the artificial intelligence project.
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.
T-W-4The Turing Test and Searle's Chinese Room Argument.
T-W-5Intelligence and consciousness (selected concepts of consciousness and intelligence). Can "real" artificial intelligence do without consciousness? The problem of intentionality as the subjective ability to relate to oneself and artificial intelligence.
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human intelligence)
T-W-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.
T-W-8Consequences of AI development (GPT chat – applications, benefits and threats, AI ethics, social changes, cyborgization of society).
T-W-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.
Metody nauczaniaM-1informative lecture
M-2problem lecture
M-3discussion
M-4multimedia presentation
M-5work in groups
Sposób ocenyS-1Ocena formująca: assessment of activity during discussions, group work and problem-based lectures
S-2Ocena podsumowująca: test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Demonstrates basic skills in comparing the discussed philosophical positions in relation to artificial intelligence.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięICHP_1A_A13b_K01The student is ready to make decisions based on the analysis of the impact of AI on society and to differentiate ethical views on this issue.
Odniesienie do efektów kształcenia dla kierunku studiówICHP_1A_K06potrafi myśleć i działać w sposób kreatywny, innowacyjny i przedsiębiorczy
ICHP_1A_K02ma świadomość ważności i rozumie pozatechniczne aspekty i skutki działalności inżynierskiej, w tym jej wpływu na środowisko, i związanej z tym odpowiedzialności za podejmowane decyzje
Cel przedmiotuC-1The aim of education in the field of philosophy of artificial intelligence is to introduce the student to the history of research and philosophical reflection on the possibilities of an artificial intelligence project. After completing the course, the student will be able to characterize individual philosophical positions regarding artificial intelligence, compare them, argue - pointing out the advantages and disadvantages of individual positions, and make a choice between them depending on the adopted criteria. He will be able to analyze the impact of AI on society and differentiate ethical views on this issue.
Treści programoweT-W-1Artificial intelligence – definitions and history.
T-W-2Gödel's theorems and their significance for the artificial intelligence project.
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.
T-W-4The Turing Test and Searle's Chinese Room Argument.
T-W-5Intelligence and consciousness (selected concepts of consciousness and intelligence). Can "real" artificial intelligence do without consciousness? The problem of intentionality as the subjective ability to relate to oneself and artificial intelligence.
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human intelligence)
T-W-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.
T-W-8Consequences of AI development (GPT chat – applications, benefits and threats, AI ethics, social changes, cyborgization of society).
T-W-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.
Metody nauczaniaM-1informative lecture
M-2problem lecture
M-3discussion
M-4multimedia presentation
M-5work in groups
Sposób ocenyS-1Ocena formująca: assessment of activity during discussions, group work and problem-based lectures
S-2Ocena podsumowująca: test
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Demonstrates basic competencies enabling the assessment of the impact of AI on society.
3,5
4,0
4,5
5,0