Navigating Open Science in the Age of AI: Challenges and Lessons from Zenodo

Open Science infrastructures have greatly enhanced global knowledge sharing, but the rise of AI presents new threats to the integrity of scholarly communications. The rapid increase in AI-generated content obscures the distinction between genuine research and sophisticated fabrication, while aggressive data harvesting practices exploit open repositories at scale.

In this session, we share practical experiences from managing Zenodo, a large-scale open science infrastructure, focusing on how we balance openness with security in the age of AI. We discuss technical solutions such as advanced machine-learning classifiers to detect AI-generated spam, governance strategies, and community-driven moderation policies that help maintain the credibility and quality of open science systems.

Researchers at UZH and other institutions