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.
Smart 5G antennas are on their way: here at Orange, we’ve been ready for a long time. The next step has already been planned.
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