Abstract
The European Commission in its white paper on artificial intelligence affirms that ‘[a]rtificial intelligence (AI) entails a number of potential risks, such as […] gender based or other kinds of discrimination’. The recent European Commission Gender Equality Strategy 2020-2025 warns that ‘ while AI can bring solutions
to many societal challenges, it risks intensifying gender inequalities’ and that ‘algorithms and related
machine-learning, if not transparent and robust enough, risk repeating, amplifying or contributing to
gender biases that programmers may not be aware of or that are the result of specific data selection’.
How algorithmic discrimination is produced? How can we react? This lesson will tackle those issues in search of a new awareness of AI lack of neutrality and, possibly, of an adequate response.
Speaker
