SEFI@work The Good, the Bad, and the Unethical AI in engineering education

This is a SEFI@work session from the Talk Show series "The Routledge International Handbook of Engineering Ethics Education": https://www.taylorfrancis.com/books/oa-edit/10.4324/9781003464259/routledge-international-handbook-engineering-ethics-education-tom-b%C3%B8rsen-shannon-chance-diana-adela-martin-gunter-bombaerts-roland-tormey-thomas-taro-lennerfors Authors Stephanie Lunn, Scott Daniel, Mihály Héder, and Gunter Bombaerts discuss in a lively format on themes of interest for the community of engineering education research. AI becomes increasingly better at producing output that is meaningful for humans, such as codes, essays, planning, feedback, and so forth. This disrupts higher education in general and engineering ethics education in particular. Learning objectives, pedagogical activities, and assignments have to change if engineering ethics education wants to stay relevant and valid in the fast development of AI. This raises many questions: • How can educators integrate generative AI tools into courses to prepare students for the future AI-driven workforce while considering the ethical implications? • What role should ethics teachers play in ethical discussions in software engineering developments? • Can pedagogies (such as service-learning or humanitarian engineering) contribute to a more ethical application of AI? The Routledge International Handbook of Engineering Ethics Education originated as a SEFI SIG Ethics workshop idea at the 2021 Annual SEFI Conference. This became a SEFI project edited by Shannon Chance, Tom Børsen, Diana Adela Martin, Roland Tormey, Thomas Taro Lennerfors and Gunter Bombaerts, who were joined by a team of 108 authors from across the world who collaborated in the development of 36 chapters “mapping” the field of engineering ethics education. It is now time to celebrate together as a community and take stock of key advances in the field of engineering ethics and engineering education more broadly.