Tag Archives: SCOR Foundation for Science

SCOR Foundation for Science Webinar, ML and Econometrics

This week, I will give a talk at the SCOR Foundation for Science webinar (slides are available online). and I was asked to give a talk on econometrics vs IA (or machine learning),

Of course, the two concepts are related, and there is a continuum between them.

As we wrote it Charpentier et al. (2017)

Econometrics and machine learning seem to have one common goal: to construct a predictive model, for a variable of interest, using explanatory variables (or features).

For the purposes of this presentation, we will begin by contrasting the two, emphasizing the differences, and then showing the connections that exist.

Long story short, in between, we have computation statistics, or statistical learning, corresponding to computational techniques with mathematical probabilistic guarantees.

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Confidence and Fairness: Scientific Foundations in AI and Risk, Workshop in Paris

Tomorrow, we organize our workshop Confidence and Fairness: Scientific Foundations in AI and Risk, at the SCOR headquarters, in Paris. I’m going to give the keynote address for the day, presenting the work we’ve been able to carry out over the past 18 months (over the 3 years of funding), while laying the foundations for the concepts we’ll be discussing throughout the day.


9:00 – Registration
9:20 – Introduction speech
9:30 – Arthur Charpentier – “Fairness of predictive models: an application to insurance markets
10:15 – Coffee break
10:45 – Toon Calders – “Unfair, You Say? Explain Yourself!”
11:30 – Isabel Valera – “Society-centered AI: An Integrative Perspective on Algorithmic Fairness”
12:15 – Lunch break
13:15 – Jean Michel Loubes – “Beyond fairness measures, discovering the bias in the algorithm”
14:00 – Evgeny Chzhen – “An optimization approach to post-processing for classification with system constraints”
14:45 – Michele Loi – “From Facts to Fairness: Diagnostic Models in Algorithmic Decision-Making”
15:30 – Coffee break
16:00 – Aurélie Lemmens – “Fair Active Learning for Personalized Policies”
16:45 – François Hu and Antoine Ly – “Fairness and Confidence in Insurance Markets, a Practitioners Perspective”
17:30 – Closing cocktail

Confidence and Fairness: Scientific Foundations in AI and Risk (mid-May in Paris)

Mid-May, we organize, with the SCOR Foundation for Science a one-day workshop on Confidence and Fairness, Scientific Foundations in AI and Risk. Registrations are now open ! The agenda will be

9:00 registration
9:20 – introduction speach
9:30 – Arthur Charpentier
10:15 coffee break
10:45 – Toon Calders
11:30 – Isabel Valera
12:15 lunch break
13:15 – Jean Michel Loubes
14:00 – Evgeny Chzhen
14:45 – Michele Loi
15:30 coffee break
16:00 – Aurélie Lemmens
16:45 – François Hu and Antoine Ly
17:30 – closing cocktail