On 25 March, TIER2 is hosting a workshop as part of the Berlin University Alliance’s event “Yes, we are open! Designing Artificial Intelligence Responsibly”. This interactive two-hour session, conducted in English, will examine the role of reproducibility and Open Science in responsible AI research. The workshop is aimed at starting a discussion on balancing innovation with transparency and exploring AI’s potential to enhance reproducibility.

Artificial Intelligence (AI) is becoming increasingly prominent in research across various disciplines. Recent Nobel Prizes in Chemistry and Physics were awarded to Machine Learning (ML) researchers, highlighting its transformative potential. However, many research fields face challenges related to poor reproducibility – the ability to verify findings independently. This issue affects ML-based research, where transparency, data access, and adherence to standards are often lacking. These problems jeopardise scientific progress, waste resources, and undermine trust.

The workshop will address the responsibility of using AI for research, focusing on ethical principles aimed at minimising risks and maximising benefits. Participants will explore how reproducibility and Open Science principles should be incorporated into AI research. Discussion topics will include the role of innovation, data ownership, and computing resources in transparency issues, as well as the potential of AI systems to improve reproducibility through enhanced documentation and error-checking.

The facilitators will be Tony Ross-Hellauer and Dominik Kowald from the Know Center Research GmbH, Alexandra Bannach-Brown and Vince Madai from the Berlin Institute of Health @ Charité.

The event is open to all interested in the benefits and risks of AI, reproducibility and Open Science, including researchers, policymakers, infrastructure providers and others. If you would like to attend the workshop, please send an email to core@berlin-university-alliance.de.