The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical content into traditional applied AI modules is progressing, it is not enough. To foster student competencies to create AI innovations that respect and support the protection of individual rights and society, a novel ground-up approach is needed. This panel presents on one such approach, the development of a Human-Centred AI Masters (HCAIM) as well as the insights and lessons learned from the process. In particular, we discuss the design decisions that have led to the multi-institutional master’s programme. Moreover, this panel allows for discussion on pedagogical and methodological approaches, content knowledge areas and the delivery of such a novel programme, along with challenges faced, to inform and learn from other educators that are considering developing such programmes.
An overview of fundamentals, best practices and a tutorial.
MULTIFILE
The Amsterdam University of Applied Sciences started a research and education group on Applied Quantum Computing at September 1st 2020. This group has a focus on Quantum Computing and Quantum Sensing. Quantum Computing is done together with the Computer Science program and Quantum Sensing with the new Technical Physics program which will start September 1st 2021. The group is involved in educational efforts to create a general awareness of Quantum Computing under the umbrella of the innovation hub Quantum.Amsterdam. In February 2021 the group starts a minor Applied Quantum Computing. Students learn how to program quantum algorithms and together with companies such as Capgemini, Qu & Co and SURFsara engage in projects solving real problems.