• Fondation Abeona

Newsletter - March 2019

Mis à jour : 1 avr. 2019

Version Française içi

Telecom ParisTech publishes an article on Bias and Fairness in AI, with our support

Artificial intelligence and algorithms are increasingly used in our daily lives, changing the way we learn, work, and receive medical care... But they are accused of being black boxes and discriminating according to gender or ethnic origin. Thanks to the support of Fondation Abeona, reserchers at Télécom ParisTech David Bounie (economist) and Stephan Clémençon (expert in machine learning) and their colleagues have published a white paper which adresses algorithmic bias and outlines possible solutions. We hope that this article (in French) will be followed by other work and reflection on possible ways to address these issues.

A must-read - Weapons of Math destruction by Cathy O'Neil

We live in the age of the algorithms. Increasingly, the decisions that affect our lives - whether we get a job or a loan, how much we pay for insurance - are being made by mathematical models. In theory, this should lead to greater fairness- everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil, a brilliant mathematician, reveals in this urgent and necessary book, the opposite is true. The models are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, these "weapons of math destruction" reinforce discrimination. How do we become more savvy about the AI algorithms that govern our lives?

MSBioProgress: Violetta Zujovic and her team use Ethical AI to fight Multiple Sclerosis

Multiple Sclerosis is a disease of the central nervous system which is the second cause of severe disablement, after traffic accidents. It manifests itself around the age of 30, and affects 3 times as many women as men. Different factors influence the onset of the disease and its progression.  The MSBioProgress project uses sophisticated statistical techniques to analyze high-dimensional data sets, such as genomic biomarkers and brain images to predict the individual evolution of the disease and propose personalized treatments. We proudly sponsor this Brain & Spine institute (ICM) initiative at the intersection of genomics, neuro-imaging and data science. The project is led by Violetta Zujovic.