Upcoming Paris Machine Learning Meetup on Fair and Ethical Algorithms (Wednesday 17th, 2016)

How do we go about designing fair and ethical Algorithms? It looks like the subject is gaining some traction. Here is an AMA on Reddit by Bart Selman, Moshe Vardi et Wendell Wallach on the societal impact of  AI .Coincidentally, the 2nd International Workshop on the future of AI is taking place right now in Phoenix, AZ (see the lineup at "What is the future of AI? And what should we be doing about it now?")

This week, in Paris, we'll hold the third meetup of the month (here is a link the first and the second): This time the topic will be Fair and Ethical Algorithms. Dojocrea is kindly hosting us (we are still looking for a sponsor for the pizzas and beer). The meetup will be streamed (stay tuned on the details) Here is our lineup:

Suresh Venkatasubramanian,  An Axiomatic treatment of fairness

We propose a mathematical framework for reasoning about fairness in machine learning. 

Here is an Al Jazzera show on the general subject of fair algorithms (with Suresh in it). Suresh is coming from the world of TCS, so his presentation will provide an interesting take on fairness I am sure.

Michael Benesty Application of advanced NLP techniques to French legal decisions: ​​Demonstration of a significant bias of some French court of appeal judges in decisions about the rights of asylum.

The presentation will start with a brief overview of the French legal system and the legal decisions that have been analyzed. The main part will be dedicated to Word2vec and a custom multi input and multi task learning algorithm based on bi-directional GRU and classical deep learning used for extraction of information from public law decisions. In the last part, some basic descriptive statistics will be used to analyze the extracted information and reveal the apparent bias of some French court of appeal judges. 

Michel Blancard, CMAP / EtaLab, A sunny day in the CDO team of the French gov

The OpenSolarMap.org project aims to create a roof orientation map of the French territory. I will present how we crowdsourced a training dataset and how we used deep learning on it.n

Pierre Saurel,   "L'éthique des algorithmes"

Let me finally note that one of the Phoenix workshop presenter is Mark Reidl, he will be a speaker of the Paris Machine Learnng meetup in June . His current paper is titled: "Using Stories to Teach Human Values to Artificial Agents"


Image Credit: NASA/JPL-Caltech
This image was taken by Front Hazcam: Right B (FHAZ_RIGHT_B) onboard NASA's Mars rover Curiosity on Sol 1251 (2016-02-12 14:12:12 UTC).

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