Responsible Design of Interactive AI-Systems 7.5 credits

About the course

This advanced level course is aimed to deepen knowledge and skills in design methodology for responsible development of interactive, intelligent systems and environments with focus on  human-centered artificial intelligens (AI), and in theories for Human-Computer Interaction (HCI) theory and new technology for interacting and collaborating with intelligent software agents and environments. The course builds upon research and theories developed in the intersection of AI and HCI, with special focus on socio-technical systems embedding AI, human-AI collaboration and related ethical and social aspects. Some of the core questions in focus during the course will be

1. How are we going to collaborate with AI technology in the future?
2. What happens with control and autonomy when the system learns and changes behaviour over time?
3. How do we design an interactive, intelligent system in such a way that we embed into the system mechanisms for weighing together different stakeholders values in multicultural contexts (e.g. moral and ethics), as well as explaining its reasoning and guarantee transparency? and
4. How do we embed a continuing responsible and participatory design process throughout the use of intelligent and collaborative systems?

The course is divided into the following two parts:
Module 1: Theory and methodology (4,5 ECT)
The theoretical part covers theoretical frameworks and methods for designing and evaluating interactive intelligent systems, and adopts a responsible AI perspective. The socio-technical systems perspective will be applied throughout the course with theories and methods supporting the development of socially intelligent systems. This includes human-centric factors vital when developing AI-based interactive systems, such as the effect of use, mechanisms for human development, motivation, behavior change, autonomy, empowerment, competence, relatedness, value for the individual and society, responsibility, accountability and ethics.

Methodology includes in particular responsible AI design, participatory action research approaches and activity-centered design. The theory and methodologies are applied in group exercises and in an interdisciplinary project in Module 2.
 
Module 2: Practical application of theory and methods in a project (3 ECT)
Theories and methods brought up in Module 1 are applied in a group project, which is conducted in parallel with the theoretical part. The project topic is motivated by a societal challenge and focuses on engaging potential end users and other stakeholders in an interdisciplinary participatory design process. Design activities can be done in labs with technology and material for prototype development and evaluation, and in environments outside of the university that stakeholders provide.