AI is transforming research, but just being open about its use isn’t the whole story. In this insightful article from Leiden Madtrics, Andrea Reyes Elizondo and Peter Tarras explain why transparency alone doesn’t guarantee responsible AI use. They invite readers to think deeper about fairness, accountability, and the broader impact of AI on research and society. The authors remind us that ethical AI requires not only openness but also reflection on how technology shapes our knowledge and decisions. It’s a timely reminder that responsible innovation starts with critical awareness, not just disclosure.
A must-read for anyone curious about how to use AI ethically and thoughtfully in academia.
Read the full article here: Why AI transparency is not enough