Raising awareness and advancing best practices on Fairness and Equity In AI
What is Justice in Artificial Intelligence?
In partnership with Ecole Normale Supérieure, we are launching a visiting Chair in AI and Justice,
Dr. Kate Crawford, co-founder of the AI Now Institute, professor at NYU, and researcher at Microsoft, will be the inaugural chair holder.
She gave an introductory lecture on September 18th at ENS.
What can we do to ensure algorithms are equitable and unbiased?
Digital technology and Artificial Intelligence should not become a vector of inequality. Foundation Abeona co-led a working group at the Institut Montaigne with company executives, government and civil society, and conducted some forty expert interviews, to understand how to minimize the risk of discrimination related to Artificial Intelligence systems. This work continues our study with Télécom Paris, Algorithms: bias, discrimination and equity, published in 2019.
An important recommendation of the report is what we call Active Equity - testing for potential discrimination in algorithms before they are put into service.
Our decisions have always been biased. Why would it be different for algorithms?
We have launched a partnership with TelecomParis researchers in computer science and economics who
then produced an excellent article « Algorithms: Bias, Discrimination and Equity »