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Poster
in
Workshop: AI for Science: from Theory to Practice

AI Ethics Education for Scientists

Savannah Thais


Abstract:

Machine learning (ML) and artificial intelligence (AI) are becoming core components of scientific research across fields. While there are increasingly formal and informal domain-specific learning opportunities for students and early career scientists interested in AI/ML, AI ethics is often an overlooked part of these trainings. This is a concerning practice as a knowledge of the ethical considerations around AI/ML is an essential component of training effective and responsible scientists. This work presents a introductory AI Ethics curriculum tailored for scientists and describes implementations of the curriculum in various training scenarios.

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