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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.
Personal data protection is sometimes presented as a legal headache, typically in the online business world. For others, usually in the activist sphere, it is seen as a way to defend our fundamental rights. Each side tends to mock the other’s point of view. Here, let us try another lens. The General Data Protection Regulation […]
The number of mobile applications for children is rapidly increasing. An entire market segment is taking shape to reach this target audience. Just like adults, the personal data issue applies to these younger audiences. Grazia Cecere, a researcher in the economics of privacy at Institut Mines-Télécom Business School, has studied the risk of infringing on […]
Online services are becoming more and more personalised. This transformation designed to satisfy the end-user might be seen as an economic opportunity, but also as a risk, since personalised services usually require personal data to be efficient. Two perceptions that do not seem compatible. Maryline Laurent and Nesrine Kaâniche, researchers at Telecom SudParis and members […]
“The state, that must eradicate all feelings of insecurity, even potential ones, has been caught in a spiral of exception, suspicion and oppression that may lead to a complete disappearance of liberties.” —Mireille Delmas Marty, Libertés et sûreté dans un monde dangereux, 2010 This book will examine the security/freedom duo in space and time with […]
Mobile networks are constantly evolving, with every decade ushering in a new generation. In this article, Meroua Moussaoui, PhD student at Telecom SudParis, explains just how these networks behind our mobile phones work. She also gives us a sneak peek at the features we might experience after 5G.
Radar systems are safe and durable, and used for both detection and surveillance. However, they deliver signals, not images, which can be difficult to interpret. Using artificial intelligence to complement current algorithms offers a technological solution to this problem. The RadaR-IO laboratory, shared by IMT Mines Albi and the company EPSI, is looking to develop and industrialize this solution.
Security methods for the Paris 2024 Olympic and Paralympic Games are relying on artificial intelligence, specifically algorithmic video surveillance. However, this technology poses a number of issues, particularly in terms of personal data protection. Claudine Guerrier, legal researcher at Institut Mines-Télécom Business School, tells us more about video surveillance using artificial intelligence.
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.
Two and a half years after its launch, the European project IMPETUS has delivered an eponymous platform dedicated to improving the security of smart cities. The IMPETUS platform incorporates eight tools combining cutting-edge technologies, ethical considerations and operational recommendations for security centers.
