Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Wydział Biotechnologii i Hodowli Zwierząt - Biotechnology (S2)

Sylabus przedmiotu Philosophy of Artificial Intelligence:

Informacje podstawowe

Kierunek studiów Biotechnology
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta magister 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 Katarzyna Szymańska <Katarzyna_Szymanska@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 1,0 ECTS (formy) 1,0
Forma zaliczenia zaliczenie Język polski
Blok obieralny 1 Grupa obieralna 4

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
wykładyW1 15 1,01,00zaliczenie

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.2
T-W-2Gödel's theorems and their significance for the artificial intelligence project.1
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.1
T-W-4The Turing Test and Searle's Chinese Room Argument.1
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.2
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human intelligence)2
T-W-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.2
T-W-8Consequences of AI development (GPT chat – applications, benefits and threats, AI ethics, social changes, cyborgization of society).2
T-W-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.2
15

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
wykłady
A-W-1participation in lectures15
A-W-2preparation for test5
A-W-3literature analysis3
A-W-4consultations2
25

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
BTap_2A_BTA-S-O1.4_W01
Knows, understands and is able to characterize individual philosophical positions regarding artificial intelligence.		BTap_2A_W02, BTap_2A_W03——C-1T-W-8, T-W-3, T-W-4, T-W-9, T-W-7, T-W-5, T-W-1, T-W-2, T-W-6M-4, M-1, M-2, M-5, M-3S-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
BTap_2A_BTA-S-O1.4_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.		BTap_2A_U03, BTap_2A_U05——C-1T-W-7, T-W-5, T-W-2, T-W-3, T-W-6, T-W-8, T-W-9, T-W-4, T-W-1M-1, M-4, M-5, M-2, M-3S-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
BTap_2A_BTA-S-O1.4_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.		BTap_2A_K01, BTap_2A_K07——C-1T-W-2, T-W-4, T-W-5, T-W-6, T-W-9, T-W-3, T-W-8, T-W-7, T-W-1M-4, M-1, M-2, M-3, M-5S-2, S-1

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
BTap_2A_BTA-S-O1.4_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
BTap_2A_BTA-S-O1.4_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
BTap_2A_BTA-S-O1.4_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.2
T-W-2Gödel's theorems and their significance for the artificial intelligence project.1
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.1
T-W-4The Turing Test and Searle's Chinese Room Argument.1
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.2
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human intelligence)2
T-W-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.2
T-W-8Consequences of AI development (GPT chat – applications, benefits and threats, AI ethics, social changes, cyborgization of society).2
T-W-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.2
15

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1participation in lectures15
A-W-2preparation for test5
A-W-3literature analysis3
A-W-4consultations2
25
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięBTap_2A_BTA-S-O1.4_W01Knows, understands and is able to characterize individual philosophical positions regarding artificial intelligence.
Odniesienie do efektów kształcenia dla kierunku studiówBTap_2A_W02has an extended knowledge of economics, quality management, legal and other aspects, useful in the work of a biotechnologist
BTap_2A_W03knows ethical, legal, economic and other conditions of importance in biotechnology
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-8Consequences of AI development (GPT chat – applications, benefits and threats, AI ethics, social changes, cyborgization of society).
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.
T-W-4The Turing Test and Searle's Chinese Room Argument.
T-W-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.
T-W-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.
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-1Artificial intelligence – definitions and history.
T-W-2Gödel's theorems and their significance for the artificial intelligence project.
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human intelligence)
Metody nauczaniaM-4multimedia presentation
M-1informative lecture
M-2problem lecture
M-5work in groups
M-3discussion
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 sięBTap_2A_BTA-S-O1.4_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 studiówBTap_2A_U03knows a foreign language at B2 + proficiency level, communicates in everyday and professional situations, can write a report and a simple essay on a topic familiar to him/her; has the ability to prepare oral presentations in the field of biotechnology vocabulary
BTap_2A_U05can individually and in a group design and implement experimental process, including measurements, applicable in biotechnology; interprets the results obtained and draws conclusions; conducts discussions based on self-knowledge acquired using specialist language
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-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.
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-2Gödel's theorems and their significance for the artificial intelligence project.
T-W-3Universal Turing machine – possibilities and limitations of artificial intelligence.
T-W-6Computational foundations of human intelligence (the concept of two visual pathways, Baysian concepts of perception, simulating human 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.
T-W-4The Turing Test and Searle's Chinese Room Argument.
T-W-1Artificial intelligence – definitions and history.
Metody nauczaniaM-1informative lecture
M-4multimedia presentation
M-5work in groups
M-2problem lecture
M-3discussion
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 sięBTap_2A_BTA-S-O1.4_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 studiówBTap_2A_K01demonstrates the need to constantly improve general and directional knowledge; is aware of the purposefulness of raising the acquired knowledge both in professional activities and personal development
BTap_2A_K07understands the desirability of stimulating individual cognitive activity and raising professional competences; demonstrates independence in acquiring scientific information from various sources
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-2Gödel's theorems and their significance for the artificial intelligence project.
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-9The future of artificial intelligence. How does artificial intelligence affect humans? Hopes and fears.
T-W-3Universal Turing machine – possibilities and 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-7Real and thought experiments resulting from biological research (e.g. brain in a vat) and possible limitations of artificial intelligence.
T-W-1Artificial intelligence – definitions and history.
Metody nauczaniaM-4multimedia presentation
M-1informative lecture
M-2problem lecture
M-3discussion
M-5work in groups
Sposób ocenyS-2Ocena podsumowująca: test
S-1Ocena formująca: assessment of activity during discussions, group work and problem-based lectures
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