France AI strategical report

France is launching a new mission to design a strategical mission on IA, as depicted by the very entraintaining speech of the Prime Minister. The mission will be lead by the famous mathematician Cédric Villani.



And of course Lili CEO Milie Taing (with the yellow scarf) was on the guest list.

Edouard philippe

Full talk here:


How Machine Learning Advances Will Improve the Fairness of Algorithms



The good news is that we have many computer scientists who care deeply about the fairness of ML algorithms, and have developed methods to make them less biased than humans. A few years ago, a group of researchers at Microsoft Research and Boston University uncovered gender discrimination inherent in certain linguistic tools used in many search engines. When used to complete the analogy “man is to computer programmer as woman is to ___,” this tool produced the answer “homemaker.” Our team debiased this tool so that it delivered gender neutral results, making it less biased than humans.

There is an entirely new field emerging at the intersection of computer science, law, and ethics. It will not only lead to fairer algorithms, but also to algorithms which track accountability, and make clear which factors contributed to a decision. There’s much reason to be hopeful!

IBM and cancer

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Breathlessly promoting its signature brand — Watson — IBM sought to capture the world’s imagination, and it quickly zeroed in on a high-profile target: cancer.

But three years after IBM began selling Watson to recommend the best cancer treatments to doctors around the world, a STAT investigation has found that the supercomputer isn’t living up to the lofty expectations IBM created for it. It is still struggling with the basic step of learning about different forms of cancer. Only a few dozen hospitals have adopted the system, which is a long way from IBM’s goal of establishing dominance in a multibillion-dollar market. And at foreign hospitals, physicians complained its advice is biased toward American patients and methods of care.

Full text here: