(in Polish) Philosophy of Artificial Intelligence FIL-ENG-SM>mono03
Lecture 1: Introduction to AI and the Philosophy of Artificial Intelligence
An overview of intelligence as a concept, the interdisciplinary character of AI, and the main philosophical questions it raises.
Lecture 2: History of AI – The Beginnings
From logic and computability to Turing, and the birth of AI as a scientific field up to 1956.
Lecture 3: History of AI – Further Development
Expert systems, AI winters, probabilistic paradigms, machine learning, and the rise of deep learning.
Lecture 4: Machine Learning and Neural Networks
Introduction to learning approaches, neural networks, deep learning, and the transformer architecture.
Lecture 5: Language Models and ChatGPT
The development of language models, their applications, and philosophical questions about human vs. machine language.
Lecture 6: Embodied Intelligence, Robotics, and Biology
Situated robotics, embodied cognition, self-organization, brain–computer interfaces, synthetic biology, and medical applications of AI.
Lecture 7: Information and the Ontology of AI
Philosophical perspectives on information and the ontological status of artificial intelligence.
Lecture 8: Consciousness, Meaning, and Intentionality
The problem of machine consciousness, meaning in AI, and philosophical accounts of intentionality.
Lecture 9: Ethics and Artificial Intelligence
Moral implications of AI: agency, accountability, justice, bias, transparency, and AI in warfare, labor, and surveillance.
Lecture 10: Distributed Epistemology and AI Creativity
The shared production of knowledge between humans and machines, quantum models of epistemology, and AI-driven creativity.
Lecture 11: Artificial General Intelligence (AGI)
Definitions, current status of research, limitations, hybrid models, and philosophical implications.
Lecture 12: Superintelligence and Transhumanism
Concepts of superintelligence, technological personality, transhumanist visions, and eschatological challenges.
Lecture 13: AI and the Challenges for Religion and Theology
Theological implications of AI, the intelligent design paradox, and the impact of AI on human and divine concepts.
Lecture 14: Conclusion – AI as a Philosophical and Cultural Challenge
A synthesis of the course, highlighting philosophical, ethical, and cultural perspectives on the future of AI.
(in Polish) Tryb zajęć
Course coordinators
Assessment criteria
The course ends with the final oral exam based on the list of basic problems covered in class. The list will be made available at the end of semester.
Participation in the lecture is NOT OBLIGATORY.
Bibliography
Boden M.A., Artificial intelligence: a very short introduction, Oxford University Press, Oxford, United Kingdom 2018.
Bostrom N., Superinteligencja: scenariusze, strategie, zagrożenia, Wydawnictwo Helion, Gliwice 2016.
Kurzweil R., Nadchodzi osobliwość: kiedy człowiek przekroczy granice biologii, Kurhaus Publishing, Warszawa 2016.
Kurzweil R., Osobliwość coraz bliżej: kiedy połączymy się z AI, Grupa Wydawnicza Relacja sp. z o.o, Warszawa 2024.
Leliwa G., Sztuczna inteligencja. O czym myśli, gdy nikt nie patrzy?, Helion, Gliwice 2025.
Lennox J.C., 2084: sztuczna inteligencja i przyszłość ludzkości, Fundacja Prodoteo, Warszawa 2023.
Marciszewski W., Sztuczna inteligencja, Znak, Kraków 1998.
Schneider S., Artificial you: AI and the future of your mind, Princeton University Press, Princeton 2021.
Tegmark M., Life 3.0: being human in the age of artificial intelligence, Penguin Books, [London] UK [New York, NY] USA [Toronto] Canada 2018.
Trypuz R., Prosto o AI: jak działa i myśli sztuczna inteligencja?, Helion, Gliwice 2024.
Uria-Recio P., How AI will shape our future: understand artificial intelligence and stay ahead, Pedro Uria-Recio, Place of publication not identified 2024.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: