Stephen Downes

Good article by the CEO the Public Library of Science (PLOS). "As AI systems increasingly reason from the scientific literature, the integrity signals that make research trustworthy - open data, structured metadata, robust retraction processes - matter more than ever." Some publishers say peer review makes these distinctions, but "not every publisher requires open data and open methods as a condition of publication," and these need to be open to make those distinctions auditable. Instead, some publishers choose to lock these behind a paywall - but "conditioning access on institutional control, demanding compensation is not just strategically self-defeating but a values failure." If we want trustworthy AI, we need open access publishing. It really is that simple.