This elective introduces students to key developments and current challenges in robotics and AI, and highlights how the humanities can inform research practice that result in ethical, inclusive and responsible robots and AI. Through research-based teaching and practice-based workshops, students will learn to identify and implement theories and methods from the arts, humanities, and social sciences to address relevant challenges in the fields of robotics, human-robot interaction (HRI), human-computer interaction (HCI), AI and machine learning. Key issues that will be addressed are interaction, embodiment, ethics and societal impact. During this course, the students will learn and apply practical quantitative and qualitative methods to bridge humanities research with relevant topics in engineering and computer science in their own mini-studies.
Through the module, the student must gain knowledge and understanding of:
theories and methods addressing concepts of interaction, embodiment, ethics and social impact the field of robotics, HRI/HCI, and AI
research questions and challenges within robotics, HRI/HCI, and AI research
possibilities/Approaches to bridge interdisciplinary perspectives on robotics, HRI/HCI, and AI research
The student must through the module acquire skills in:
to master scientific theories, methods, research and design tools for understanding, developing and/or analyzing research questions and solutions within robotics, HRI/HCI, and AI
to assess and choose among scientific theories, methods and tools and to develop new analytical and solution models on robotics, HRI/HCI, and AI from a humanistic, social scientific or artistic perspective to critically evaluate technologies, tools and practices from a human-centered perspective
The student must through the module acquire competences for:
to independently apply relevant theoretical and methodological knowledge to understand and evaluate the solutions of robotics, HRI/HCI, and AI in different settings (e.g. institutional or societal) and frameworks
to independently initiate and carry out professional and
interdisciplinary cooperation and assume professional
responsibility in the field of robotics and AI from a humanistic,
artistic or social scientific
perspective.
Reference is made to §17.
Name of exam | Humans in the Loop: Human-Centered Research in Robots and AI |
Type of exam | Written exam
The exam takes form of a given 7-day homework assignment, where the
student, based on the module, answers the question(s) within the
subject area. The assignment must not exceed 15 pages and must be
prepared individually.
The assignment is assessed by the examiner and an internal co-assessor. |
ECTS | 10 |
Permitted aids | All written and all electronic aids |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Electives are updated on our website:
https://www.kdm.aau.dk/studiehaandbog/uddannelsen/kandidat/valgfag/
Danish title | Mennesker i loopet: Menneskecentreret forskning i robotter og AI |
Module code | KAKDMVM2034 |
Module type | Course |
Duration | 1 semester |
Semester | Spring
KA elective 2. semester |
ECTS | 10 |
Language of instruction | English |
Location of the lecture | Campus Aalborg |
Responsible for the module |
Study Board | Study Board of Communication and Digital Media |
Department | Department of Communication and Psychology |
Faculty | Faculty of Social Sciences and Humanities |