Objectives and competences
During this course, the students will develop philosophical competencies and argumentative skills by gaining a better understanding of artificial intelligence-related problems and discussing their solutions based on a critical evaluation of proposed answers and searching for autonomous and original solutions.
Content (Syllabus outline)
• Philosophy of mind and artificial intelligence: representation, intentionality, computation.
• Artificial intelligence: beginnings, aims, approaches, problems.
• Philosophical questions within artificial intelligence: can machines think, are computers conscious, can machines sense, are computers free in acting.
Learning and teaching methods
? Lectures with discussion;
? Seminars: presentations and discussion.
Intended learning outcomes - knowledge and understanding
Knowledge and understanding:
Upon completion of this course the student will be able to:
•identify underlying issues in all kinds of debates, sensitively interpret texts drawn from a variety of ages and traditions, express and formulate complex and controversial problems precisely.
•analyse and construct sound arguments and recognise logical fallacies, methodological errors, rhetorical devices or unexamined conventional wisdom, invent or discover cases to support or challenge a position, and distinguish those that are relevant from those that are not.
critically examine and independently formulate the best arguments for variety of positions and look for their weakest parts, evaluate views and arguments of others tolerantly and openly, conceptualize her own philosophical activity.
Intended learning outcomes - transferable/key skills and other attributes
During this course, the student will additionally strengthen their:
•Communication skills: writing expression at completing colloquiums, writing expression at making a seminar, writing expression at doing house works, oral expression at collaborating in a discussion, presentation.
•Skills related to the use of information technology: searching for information on the internet.
•Organisation skills: creating a time table for completing a seminar.
•Problem solving skills: scientific-philosophical problems.
Skills related to working in a group: working in a group in a seminar.
Readings
Copeland, J. (2012):. Artificial Intelligence: A Philosophical Introduction. Oxford: Blackwell Publishing.
Boden, M. (2018). Artificial Intelligence: A Very Short Introduction. Oxford: Oxford University Press.
Larson, E. K. (2021). The Myth of Artificial Intelligence: Why Computers Can't Think the Way We Do. Cambridge: Harvard University Press.
Liao, M. S. (ur.) (2020). Ethics of Artificial Intelligence. Oxford: Oxford University Press.
Wooldridge, M. (2021). A Brief History of Artificial Intelligence: What It Is, Where We Are, and Where We Are Going. Oxfotrd: Oxford University Press.
Prerequisits
Prerequisites for attending the course:
None.
Prerequisites for completing the course:
Each of the mentioned commitments must be assessed with a passing grade.
Passing grade of seminar work is required for taking the written exam.
At least 50% attendance at lectures and 80% attendance at tutorials is required.
Additional information on implementation and assessment • Written exam (written exam can be substituted by two midterm exams with passing grades) - 50 %
? Completed seminar with presentation, attendance and active collaboration. - 50 %
Each of the mentioned commitments must be assessed with a passing grade.
