September 2019 Newsletter
Kate Crawford, Inaugural Abeona/ENS Chair in AI et Justice
In partnership with the Ecole Normale Supérieure, we are creating an invited Chair in "AI and Justice".
Dr. Kate Crawford, co-founder of the AI Now Institute, Distinguished Research Professor at New York University, will be the first chairholder.
She will give an introductory lecture on September 18 at ENS on Making AI Accountable: From Parity to Justice:
Advances in artificial intelligence (AI) mean that machine learning systems now play a much bigger role in many of our social institutions, from education to healthcare to criminal justice. In the U.S., AI tools like affect recognition (also known as emotion detection) are being used to decide who to hire, and who to fire. But some of these approaches are based on questionable science. Further, they can entrench forms of human bias in software that has a false patina of technical neutrality. Drawing insights from multiple fields, including law, science and technology studies, and political philosophy, this talk will assess the current focus on bias in AI, and suggest ways forward that take a wider analysis of structural inequality and power.
Fondation Abeona and Institut Montaigne partner to create a working group on Algorithmic Bias
We are delighted to work with Institut Montaigne and have launched a working group and a series of auditions of experts on bias in algorithms. We will be producing concrete recommendations for action, for political decision makers and business leaders.
Fondation Abeona sponsors Brain@Scale run by Olivier Colliot and his team. They use innovative machine learning techniques to advance research on Alzheimers and other neurodegenerative diseases.
Neurodegenerative diseases, such as Alzheimer's disease, affect millions of people and develop over decades before the first symptoms appear. The "Brain@Scale" project uses a machine learning algorithm to better diagnose neurodegenerative diseases from brain images. We support this project of the Institut du Cerveau et de la Moelle Epinière (ICM) led by Olivier Colliot.
A must-see video: Joy Buolamwini « How I am fighting bias in algorithms »
Joy Buolamwini, a PhD student at MIT, was working with facial recognition software when she noticed that the software did not recognize her face - because those who coded the algorithm had not taught her to identify enough skin colors and facial structures. Its mission is to combat algorithmic biases in machine learning. IBM and Microsoft have made changes to improve their software after its work, while Amazon challenges the results ...