Gender parity, minorities, inclusion: how AI can help reduce inequalities
● The use of machine learning tools, which suffer from significant algorithmic biases, can exacerbate inequalities and discrimination against minorities.
● Artificial intelligence (AI) systems can absorb our biases when they are being trained. However, it is also possible to programme automatic training models to combat inequalities.
● Several projects are underway to make AI more inclusive. Gapsquare, for example, is a human resources tool trained on data that has been screened to ensure gender and ethnic parity. Other programmes have been developed to ensure inclusive access to healthcare for minority communities.
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● Artificial intelligence (AI) systems can absorb our biases when they are being trained. However, it is also possible to programme automatic training models to combat inequalities.
● Several projects are underway to make AI more inclusive. Gapsquare, for example, is a human resources tool trained on data that has been screened to ensure gender and ethnic parity. Other programmes have been developed to ensure inclusive access to healthcare for minority communities.
