Philosophy of Artificial Intelligence
Code: 100315 ECTS Credits: 6| Degree | Type | Year | Semester |
|---|---|---|---|
| 2500246 Philosophy | OT | 3 | 1 |
| 2500246 Philosophy | OT | 4 | 1 |
Contact
- Name:
- Maria Pilar Dellunde Clave
- Email:
- pilar.dellunde@uab.cat
Teaching groups languages
You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.
Teachers
- Maria Pilar Dellunde Clave
Prerequisites
None.
Objectives and Contextualisation
Can a machine be creative? Can a machine think, have emotions? Artificial intelligence is present in our daily life, in science, in art, and unfortunately also in war. What are the main issues to be addressed from a philosophical point of view regarding artificial intelligence? Do we need alternative logics for the representation of these new knowledge?
In this course we will discuss the ethical limits of the application of artificial intelligences, and the possibilities of designing a general artificial intelligence. A new society where people and agents of artificial intelligence coexist creating communities with completely different norms and potentials than the ones we have lived up to now. All the intelligence of the humanities is needed to face these new challenges. Would you like to join us in the creation of these alphabets for the future?
Competences
- Philosophy
- Students must have and understand knowledge of an area of study built on the basis of general secondary education, and while it relies on some advanced textbooks it also includes some aspects coming from the forefront of its field of study.
- Using the symbology and procedures of the formal sciences in the analysis and building of arguments.
Learning Outcomes
- Establishing relationships between science, philosophy, art, religion, politics, etc.
- Explaining the specific notions of the History of Philosophy.
- Formulating arguments for and against an issue, using proper vocabulary, conceptual precision and argumentative coherence.
- Recognising and using the several forms of reasoning in the history of philosophy.
- Regularising arguments of any source and calculating its logical correctness.
- Rigorously building philosophical arguments.
Content
- What is Artificial Intelligence (AI)? Machines and algorithms. Symbolic AI vs. Subsymbolic AI.
- Ethical, social and epistemological challenges of machine learning.
- Gender perspective in AI.
- Reflections on the creativity of AI.
- Knowledge representation, natural language and explainability.
- Roboethics.
- Future perspectives. Is a general AI possible?
Methodology
-
Combination of theoretical and practical classes.
- Discussion of case-studies.
- Joint resolution of exercises.
- Use of science fiction to work on philosophical creativity.
- Self-learning activities
- Philosophical mmersive role-playing games.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Activities
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Collaborative practice of Applied Philosophy | 40 | 1.6 | 1, 2, 3, 4 |
| Workshop on philosophical creativity | 40 | 1.6 | 6, 2, 3, 4 |
| Type: Supervised | |||
| Study of the basic notions of AI and knowledge representation | 30 | 1.2 | 6, 2, 5 |
| Type: Autonomous | |||
| Reading texts of Philosophy of the AI | 24 | 0.96 | 6, 1, 4 |
Assessment
The assessment is carried out in two ways:
Continuous assessment: will consist of weekly assessment activities of three different typologies, philosophical reflections on case studies, challenge-based learning activities (group work) and exercises in a philosophical creativity workshop using science fiction, philosophical texts and games of role All assessment activities will have the same value, the student's final grade will be the average of the 8 best practices in which he has participated. To be able to take the continuous assessment, the student must have taken at least 8 practicals. Internships cannot be recovered. If this minimum is not reached, the student will not have passed the continuous assessment and if he meets the conditions, he will have to present himself for recovery (see the Recovery section)
Single assessment: it will consist of the written delivery (with a value of 25% of the final mark) and the oral defense (with a value of 25% of the final mark) of philosophical reflections on case studies, and a test of synthesis (with a value in the final mark of 50%) of all the material given in the course. This assessment will take place from January 8 to 19, 2024 (students who wish to take part in it must notify it beforehand through a form, from September 18 to October 6, 2023.
Recovery: to participate in recovery, students must have previously been evaluated in a set of activities whose weight is equivalent to a minimum of 2/3 parts of the total qualification (continuous evaluation) or deliver all expected tests (single assessment). To participate in the recovery process, the student must have obtained a final average grade of 3.5. The same recovery system will be applied as for the continuous assessment.
On carrying out each evaluation activity, lecturers will inform students (on Moodle) of the
procedures to be followed for reviewing all grades awarded, and the date on which such a
review will take place.
Students will obtain a "No avaluable" course grade unless they have submitted more than 1/3 of the assessment items.
In the event of a student committing any irregularity that may lead to a significant variation in the grade awarded to an assessment activity, the student will be given a zero for this activity, regardless of any disciplinary process that may take place. In theevent of several irregularities in assessment activities of the same subject, the student will be given a zero as the final grade for this subject.
In the event that tests or exams cannot be taken onsite, they will be adapted to an online format made available through the UAB’s virtual tools (original weighting will be maintained). Homework, activities and class participation will be carried out through forums, wikis and/or discussion on Teams, etc. Lecturerswill ensure that students are able to access these virtual tools, or will offer them feasible alternatives.
Assessment Activities
| Title | Weighting | Hours | ECTS | Learning Outcomes |
|---|---|---|---|---|
| Collaborative practice of Applied Philosophy | 33% | 4 | 0.16 | 6, 1, 3 |
| Definitions of the main AI concepts. | 33% | 4 | 0.16 | 6, 5, 4 |
| Philosophical creativity workshop | 34% | 8 | 0.32 | 6, 1, 2, 3, 4 |
Bibliography
- Johan van Benthem, Modal Logic for Open Minds, Center for the Study of Language and Information, 2000.
- Johan van Benthem, Hans van Ditmarsch, Jan van Eijck, Jan Jaspars, Logic in Action, Center for the Study of Language and Information, 2016.
- Margaret A. Boden, AI: Its nature and future, Oxford University Press, 2016
- Jack Copeland, Artificial Intelligence: A Philosophical Introduction, Wiley-Blackwell, 1993.
- Pedro Messeguer, Ramón López de Mantaras, Inteligencia Artificial, Editorial CSIC, 2017.
- Nick Smith, Vagueness and degrees of truth, Oxford University Press, 2013.
- Stuart Russell, Peter Norvig, Artificial Intelligence: A Modern Approach, 3rd edition, Prentice Hall Press, 2009.
- Alan Turing, Computing Machinery and Intelligence, Mind, Issue 236, pp. 433-460, 1950.
- Mark Coeckelberg, Ética de la inteligencia artificial, 1a edició, Cátedra, 2018.
- Mark Coeckelberg, Robo Ethics, MIT Press, 2022.
Software
None