OpenReview is a non-profit web platform built to make scientific peer review open and transparent. Its about page describes the project as aiming “to promote openness in scientific communication, particularly the peer review process, by providing a flexible cloud-based web interface and underlying database API.” It is operated by OpenReview.net, a non-profit project created by Andrew McCallum’s Information Extraction and Synthesis Laboratory at the University of Massachusetts Amherst, and the platform traces back to work presented at the ICML 2013 Peer Review Workshop.
The core idea is that reviews, author rebuttals, and discussion can be public rather than hidden. OpenReview calls itself “a testbed for different policies, to help scientific communities experiment with open scholarship while addressing legitimate concerns regarding confidentiality, attribution, and bias.” It frames its work around pillars including open peer review, open publishing, open access, open discussion, and an open API, with source code released under a free-software license.
OpenReview is best known as the system behind ICLR, the conference that pioneered open review in machine learning, and it has since been adopted by NeurIPS and many other AI venues for managing submissions and reviews. By keeping reviewer comments and scores visible, it lets the wider community see not just which papers were accepted but the reasoning, and the disagreements, behind those decisions.
Why business readers should care: OpenReview makes the quality-control process of AI research auditable, so a claim’s peer reviews can be read directly rather than taken on trust from a headline.