Jonathan Stray_bw

Jonathan Stray

Jonathan Stray is a Senior Scientist at the Berkeley Center for Human-Compatible AI (CHAI), working on recommender systems — the algorithms that select and rank content across social media, news apps, streaming music and video, and online shopping. He studies how their operation affects well-being, polarization, and other things, and tries to design recommenders that are better for people and society. For a decade he taught the double masters in computer science and journalism at Columbia Journalism School (lectures online). He led the development of Workbench, a visual programming system for data journalism, and built Overview, an open-source document set analysis system for investigative journalists. For a while he was an editor at the Associated Press, and has also written for the New York Times, Foreign Policy, ProPublica, MIT Tech Review, and Wired. Before that, he did computer graphics R&D at Adobe Systems.

Data scientists. Male programmer using laptop analyzing and developing in various information on futuristic virtual interface screen. Algorithm. marketing and deep learning of artificial intelligence
Artificial intelligence makes it possible today to distinguish profiles based on user data, on the basis of which administrators of social networks and large media companies know which groups are sensitive to which types of information. However, how transparent and correct is this information?

The intention is to gather scientific insights about major societal challenges in LIAS on the basis of international and interdisciplinary consultation.

Luc Sels

Rector KU Leuven and Co-Chair LIAS Foundation