The EU recently adopted the AI Act, which establishes a legal framework for the safe and ethical use of AI. But what about generative AI? At Institut Mines-Télécom Business School, a researcher and her PhD student are studying the risks associated with generative AI, particularly ChatGPT, based on real-life incidents. Their work highlights major ethical issues and shows the emergence of multifaceted risks associated with the new uses of this revolutionary technology.
https://imtech.imt.fr/wp-content/uploads/2024/08/Derriere-les-prompts_risques-IA-generative_Une.jpg10001231I'MTechhttps://imtech.imt.fr/wp-content/themes/imtech-enfold-child/images/logo-imtech.pngI'MTech2024-10-02 09:00:512024-10-02 10:09:24Behind the prompts: the unsuspected risks of generative AI
Large language models (LLM) are revolutionizing the relevance of natural language comprehension and text responses. Combining them with structured data for standardized organization only improves their accuracy. It is against this backdrop that Telecom Paris researcher Fabian Suchanek and his team are continuing to develop the YAGO knowledge base.
https://imtech.imt.fr/wp-content/uploads/2024/02/pexels-google-deepmind-18069158.jpg16232000I'MTechhttps://imtech.imt.fr/wp-content/themes/imtech-enfold-child/images/logo-imtech.pngI'MTech2024-09-30 18:09:042024-09-30 18:20:04Do we still need structured information? (The answer is yes)
Federated learning is a way to collaboratively train artificial intelligence models. It thus represents a possible solution to AI biases, often caused by training said models on samples that lack diversity. In the healthcare sector, these biases can lead to problems of equity between patients. The EQUIHid project explores how federated learning can help develop more equitable healthcare services.
https://imtech.imt.fr/wp-content/uploads/2024/05/Une-IA-sante-v2.jpg10001500I'MTechhttps://imtech.imt.fr/wp-content/themes/imtech-enfold-child/images/logo-imtech.pngI'MTech2024-09-27 09:30:462024-09-23 17:53:28The cruel dilemma of health data in the ai era: privacy or equity?
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Behind the prompts: the unsuspected risks of generative AI
Digital, In the News, SocietyThe EU recently adopted the AI Act, which establishes a legal framework for the safe and ethical use of AI. But what about generative AI? At Institut Mines-Télécom Business School, a researcher and her PhD student are studying the risks associated with generative AI, particularly ChatGPT, based on real-life incidents. Their work highlights major ethical issues and shows the emergence of multifaceted risks associated with the new uses of this revolutionary technology.
Do we still need structured information? (The answer is yes)
Digital, In the NewsLarge language models (LLM) are revolutionizing the relevance of natural language comprehension and text responses. Combining them with structured data for standardized organization only improves their accuracy. It is against this backdrop that Telecom Paris researcher Fabian Suchanek and his team are continuing to develop the YAGO knowledge base.
The cruel dilemma of health data in the ai era: privacy or equity?
Digital, Health, In the NewsFederated learning is a way to collaboratively train artificial intelligence models. It thus represents a possible solution to AI biases, often caused by training said models on samples that lack diversity. In the healthcare sector, these biases can lead to problems of equity between patients. The EQUIHid project explores how federated learning can help develop more equitable healthcare services.