Tutorial: Conceptualizing intelligence amplification in human-centred AI applications using the design canvas

Designing applications that enhance the cognitive abilities of their users is complex and requires involvement of stakeholders from different disciplines. The intelligence amplification design canvas aims to ease and support initial design processes. Currently, a step-by-step tutorial for practitioners is lacking. Extending earlier work regarding the organization of a design canvas workshop, the objective of this paper is to provide such a tutorial. Leveraging the comprehensive design approach for intelligence amplification from earlier work, participants of this tutorial will detail a self-defined idea or existing application using the 13 elements of the intelligence amplification design canvas in four short iterations. Following its four design principles, participants use the intelligence amplification design canvas to emphasize and define human-centred design aspects, the embodiment in the form of a software agent, the use of data driven approaches and computational intelligence, and incorporation of human in the loop. This way, the tutorial contributes to the initiation of new human-centred AI projects as well as the analysis and improvement of existing applications. Furthermore, this tutorial aspires to form a group of researchers and practitioners to collaboratively develop and evaluate human-centred AI applications and case studies. The tutorial can be planned as a half-day or full-day session depending on the target audience. The tutorial requires a room for 4-8 pairs of workshop participants, a large screen or beamer, and laptop for the tutorial presentation. The intelligence amplification design canvas can best be printed on A3 paper for each participant and can be filled in using a pen or post-its. The target audience of the tutorial includes, but is not limited to practitioners, researchers, and students active in the fields of computer science, information systems research, systems design and engineering and human-computer interaction.