The workshop on Responsible Data Science and AI Research: Fairness, Safety, Reproducibility brings together experts from different fields—including computer science, medicine and health, economics, business, banking, technology policy, and philosophy—to facilitate multidisciplinary discussions on issues of responsible data science and AI research.
Speakers and attendees will engage in discussing current developments in key areas of responsible use of data science and AI, including foundation and large language models, with a focus on issues of safety, fairness, interpretability, transparency, and reproducibility.
The Workshop consist of four panels:
- Panel 1: Risks / Safety of AI Research
- Panel 2: Fairness / Explainability / Interpretability
- Panel 3: Risks / Safety of Large Language Models
- Panel 4: Transparency / Reproducibility
The workshop is supported by the Software Sustainability Institute, Queen Mary's Digital Environment Research Institute (DERI), and Queen Mary's School of Business and Management, and is organised by Valentin Danchev, Adrian Weller, Malvika Sharan, and Amaya Gallagher-Syed.
The workshop takes place today, 21 March 2024, as a hybrid event. The in-person venue is at Queen Mary’s Digital Environment Research Institute (DERI), Empire House, 67-75 New Road, London E1 1HH. Online participation will be available via Zoom. For more information about the programme, speakers, and how to register, please visit the workshop website responsible-ai.science. Everyone is welcome and the event is free but please register (or join the waitlist for in-person attendance) as the venue capacity is limited.