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Philosophy of AI

Course code:WBMV05003
Credits:7.5 ECTS
Period:period 1 (week 36 through 45, i.e., 3-9-2018 through 9-11-2018; retake week 1)
Timeslot:B
Participants:up till now 85 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
lecture   Tue 9.00-10.452-3 KNG80-006 #EXTERN
Thu 13.15-15.001-9 ICU AUDITORIUM-AUDITORIUM
tutorial          Richard Starmans
group 1 Tue 9.00-10.454-9 ICU SPINOZA-013
group 2 Tue 9.00-10.454-9 ICU SPINOZA-107
group 3 Tue 11.00-12.454-9 ICU SPINOZA-013
group 4 Tue 11.00-12.454-9 ICU SPINOZA-107
Period:period 3 (week 6 through 15, i.e., 4-2-2019 through 12-4-2019; retake week 27)
Timeslot:A
Participants:up till now 90 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
lecture   Mon 9.00-10.451 BIJLH-024 #EXTERN
2 RUPPERT-042
Wed 9.00-10.451-9 KNG80-006
tutorial          Richard Starmans
group 1 Mon 9.00-10.453-9 D25-201
group 2 Mon 9.00-10.453-9 D25-105
group 3 Mon 11.00-12.453-9 D25-201
group 4 Tue 17.15-19.003-9 D25-105
group 5 Tue 17.15-19.003-9 D25-101
Exam:
week: 3Mon 18-2-201911.00-13.00 uurroom: EDUC-ALFA
Contents:This course will make students familiar with fundamental issues in the philosophy of AI, and will introduce them to several current discussions in the field. Students will practice their argumentation and presentation skills, both in class discussions and in writing. The course is split up in three parts. The first part is a quick overview of the fundamental issues and core notions in philosophy of AI. It addresses topics such as the Turing Test, the Chinese Room Argument, machine intelligence, machine consciousness, weak and strong AI, and the Symbol System Hypothesis. In order to establish a shared background for all students, the material of this part will be assessed with an entrance test already in week 3. In the second part of the course, there will be an in-depth discussion of several current topics in the field, for example on ethics and responsibility in AI, transhumanism, or the relation between AI and data science. On each topic, there will be a lecture, and a seminar with class discussions and student presentations. Students prepare for those discussions by posting a thesis with one or more supporting arguments about the required reading. In the third part of the course, students will write a philosophical paper, and will provide feedback on their fellow students' draft papers. This course is for Students Artificial Intelligence, History and Philosophy of Science, and RMA Philosophy. Students of other MA-programmes, please contact the Course Coordinator.  The entrance requirements for Exchange Students will be checked by International Office and the Programme coördinator. Therefore, you do not have to contact the Programme coördinator yourself.  
Literature:Frankish, K., & Ramsey, W. M. (Eds.). (2014). The Cambridge handbook of artificial intelligence. Cambridge University Press. [paperback 28 euro; freely available as e-book from the University Library]
Exam form:active participation (10%), paper (50%), presentation (20%0, test (20%)
Minimum effort to qualify for 2nd chance exam:To qualify for the retake exam, the grade of the original must be at least 4.
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