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AI is playing a key part in reshaping and developing businesses, and in improving people’s daily lives. Different concepts, tools and technologies that use algorithms—such as blockchain, machine and deep learning, natural language processing, generative AI, etc.—are beginning to show exciting possibilities that will support and optimise human intelligence. If guided by an ethical and responsible approach, this field can offer numerous rewards.

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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GettyImages - inégalités et IA - inequalities and AI

Creation, restoration, music: artificial intelligence tools in the arts

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Artificial voices are being humanised and entering our everyday lives

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The new digital spaces of logistics

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