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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.
With the deployment of 5G, concerns about possible risks related to cell phones have increased. As part of the European GOLIAT project, which is funded by the European Union to the tune of €7 M, Télécom Paris and the C2M chair are contributing to monitoring the levels of exposure to magnetic fields among certain populations […]
As medicine and genetics make increasing use of data science and AI, the question of how to protect this sensitive information is becoming increasingly important to all those involved in health. A team from the LaTIM laboratory is working on these issues, with solutions such as encryption and watermarking. It has just been accredited by Inserm.
The original version of this article (in French) was published in the quarterly newsletter no. 20 (March 2021) of the Values and Policies of Personal Information (VP-IP) Chair. On 25 November 2020, the European Commission published its proposal for the European data governance regulation, the Data Governance Act (DGA) which aims to “unlock the economic and societal potential of data and […]
The world of healthcare has extensive databases that are just waiting to be used. This is one of the issues Benjamin Dalmas, a data science researcher at Mines Saint-Étienne, is exploring in his work. His main objective is to understand the origin of this data to use it more effectively. As such, he is working […]
The European data protection regulation (GDPR), introduced in 2018, set limits on the use of trackers that collect personal data. This data is used to target advertising to users. Vincent Lefrère, associate professor in digital economy at Institut Mines-Télécom Business School, worked with Alessandro Acquisti from Carnegie Mellon University to study the impact of the GDPR […]
Over the past decade, the use of facial recognition has developed rapidly for both security and convenience purposes. This biometrics-based technology is used for everything from video surveillance to border controls and unlocking digital devices. This type of data is highly sensitive and is subject to specific legal framework. Claire Levallois-Barth, a legal researcher at […]
Promoting data sharing between economic players is one of Europe’s major objectives via its digital governance strategy. To accomplish this, there are two specific challenges to be met. Firstly, a community must be created around data issues, bringing together various stakeholders from multiple sectors. Secondly, the technological choices implemented by these stakeholders must be harmonised. […]
The right to data portability, introduced by the GDPR, allows individuals to obtain and reuse their personal data across different services. Launched in November 2019 for a period of three years, the European DAPSI project promotes advanced research on data portability by supporting researchers and tech SMEs and start-ups working in this field. The IMT […]
Patrick Waelbroeck, Télécom Paris – Institut Mines-Télécom and Antoine Dubus, Télécom Paris – Institut Mines-Télécom [divider style=”normal” top=”20″ bottom=”20″] [dropcap]I[/dropcap]n the digital economy, data is king. While recent problems with data theft and loss have made headlines following the introduction of the General Data Protection Regulation (GDPR) in May 2018 , the link between access […]
