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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.

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FairDeDup limits social biases in AI models

• Large artificial intelligence models trained on massive datasets often produce biased results, raising important ethical questions.
• A PhD student working on a project in partnership with Adobe, Eric Slyman has developed a method to preserve fair representation in model training data.
• The new algorithm christened FairDeDup, which can be applied to a wide range of models, reduces AI training costs without scrificing fairness.
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Three people are collaborating around a laptop in a modern office environment. One of them, standing, is explaining something to the two seated individuals, who appear attentive. On the table, there is a desktop computer, a tablet, and office supplies. Plants and desks are visible in the background.
A woman stands in a train, holding a phone. She is wearing a beige coat and a blue and brown scarf. The interior of the train is bright, with seats and metal support bars.
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A mathematical model to help AIs anticipate human emotions

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GettyImages - A man in a gray vest is consulting a tablet on a construction site, with visible cables in the background.
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Automated intervention reports for augmented technicians thanks to generative AI

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David Caswell: “All journalists should be trained to use generative AI”

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Health: Jaide aims to reduce diagnostic errors with generative AI

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AI: the drive to combat LLM-generated phishing attacks

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AI researchers aim to boost collective organisation among workers for Uber and other platforms

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