SOW-MKI37
Theoretical Cognitive Science 2: Science and society
Course infoSchedule
Course moduleSOW-MKI37
Credits (ECTS)3
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
Lecturer(s)
Contactperson for the course
prof. dr. W.F.G. Haselager
Other course modules lecturer
Lecturer
prof. dr. W.F.G. Haselager
Other course modules lecturer
Lecturer
dr. G. Mecacci
Other course modules lecturer
Academic year2016
Period
SEM2  (30/01/2017 to 09/07/2017)
Starting block
SEM2
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims

Gaining knowledge about the philosophical foundations and implications of the influential paradigms and model types in AI and Cognitive (Neuro)science, as well as for the social and ethical implications of developments in the field.

Developing a critical, scientific attitude towards research in general and AI in particular, and learning to present a well-founded opinion about the latest developments in several areas of AI.

Training the capacity to express yourself in writing according to the accepted norms for scientific AI publications, to effectively digest articles in relevant journals, to report on research and its implications, and to communicate with specialists in AI and Cognitive (Neuro)science, as well as with non-specialists.
Practice in obtaining the necessary learning skills to enable further learning in an independent self-directed manner.

Content

AI applications are everywhere in daily life, ranging from smart breaking systems in cars to the latest apps on mobile phones, from dust cleaning robots at home to big data analyses on Internet, from BCI driven intelligent wheelchairs to drones that shoot missiles. In this course you will actively discuss the ethical, legal and societal implications of such applications, and learn how to provide information concerning the current state-of-the-art and realistic near-future possibilities to a wider audience (general public, policy makers, press). You will learn to develop a professional, critical and responsible stance towards research and development in AI and Cognitive (Neuro)science.

Literature

• Bostrom, N. (2015). Superintelligence: Paths, dangers, strategies. Oxford University Press.
• Brynjolfsson, E. & McAfee, A. (2014), The second machine age: Work, progress and prosperity in a time of brilliant technologies. Norton & Company.
• Definitive literature list will be made available on blackboard.

Teaching formats
Work group meetings

Levels
AI.MA

Test information
Paper

Prerequisites
Bachelor AI, or bachelor in one of the constituting disciplines of Cognitive Science (Psychology, Neuroscience, Computer Science, Linguistics, Philosophy).

Contact information
Dr.W.Haselager, T: 024-3616148, E: w.haselager@donders.ru.nl

Required materials
To be announced
Definitive literature list will be made available on blackboard.

Instructional modes
Work group meetings
Attendance MandatoryYes

Tests
Exam
Test weight1
OpportunitiesBlock SEM2, Block SEM2