An interdisciplinary team of 19 researchers led by CITP Director and Computer Science Professor Arvind Narayanan and Computer Science Graduate Student Sayash Kapoor release guidelines for ethical machine learning in science. A paper detailing their guidelines appeared recently in the journal Science Advances. Read the entire article written by Scott Lyon, Princeton Engineering, entitled “Science has an AI problem. This group says they can fix it.“

The paper, “Consensus-based recommendations for machine-learning-based science,” published on May 1, 2024 in Science Advances, included the following authors:

Sayash Kapoor, Princeton University
Emily Cantrell, Princeton University
Kenny Peng, Cornell University
Thanh Hien (Hien) Pham, Princeton University
Christopher A. Bail, Duke University
Odd Erik Gundersen, Norwegian University of Science and Technology
Jake M. Hofman, Microsoft Research
Jessica Hullman, Northwestern University
Michael A. Lones, Heriot-Watt University
Momin M. Malik, Center for Digital Health, Mayo Clinic
Priyanka Nanayakkara, Northwestern
Russell A. Poldrack, Stanford University
Inioluwa Deborah Raji, University of California-Berkeley
Michael Roberts, University of Cambridge
Matthew J. Salganik, Princeton University
Marta Serra-Garcia, University of California-San Diego
Brandon M. Stewart, Princeton University
Gilles Vandewiele, Ghent University
Arvind Narayanan, Princeton University