Among the various types of biases that can be recognised in the behaviour of algorithms learning from data, gender-related biases assume particular importance in certain contexts, such as the Italian one, traditionally linked to a patriarchal vision of society. This becomes even more true considering the context of university education, where there is a strong under-representation of female students in STEM Faculties, and, particularly, in Computer Science Courses. After a brief review of gender biases reported in Machine Learning-based systems, the experience of the teaching “Gender Knowledge and Ethics in Artificial Intelligence” active since A.Y. 2021-22 at the School of Engineering of the University of Padova is presented.
Gender knowledge and Artificial Intelligence
Roda A.
2022
Abstract
Among the various types of biases that can be recognised in the behaviour of algorithms learning from data, gender-related biases assume particular importance in certain contexts, such as the Italian one, traditionally linked to a patriarchal vision of society. This becomes even more true considering the context of university education, where there is a strong under-representation of female students in STEM Faculties, and, particularly, in Computer Science Courses. After a brief review of gender biases reported in Machine Learning-based systems, the experience of the teaching “Gender Knowledge and Ethics in Artificial Intelligence” active since A.Y. 2021-22 at the School of Engineering of the University of Padova is presented.Pubblicazioni consigliate
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