Recording of the van der Schaar Lab's 30th Inspiration Exchange session, which took place on 2 October 2023, and was attended by students and professionals from the AI and machine learning community.

In this jubilee session, we explore Data-Centric AI, a cornerstone in shaping robust and trustworthy machine learning systems. The quality of data used to train ML models determines the success or failure of AI. Data-centric AI provides a framework that brings data to the fore in designing ML pipelines. This is especially critical given the widespread use of data-hungry algorithms. Despite the importance of “data” nuances and particularities, there is little work that focuses on how to exploit them in our quest for designing robust and reliable ML. Hence, there is an urgent need to shift the focus to the data used in AI/ML and its quality.

We share recent advances and discuss new, unexplored directions that could yet provide new breakthroughs.

Additionally, we are excited to be joined by: Luis Oala (Head of Machine Learning, Dotphoton), Dr Manil Maskey (Senior Research Scientist, Office of Chief Science Data Officer, NASA), and Dr Peter Mattson (Senior Staff Engineer, Google; President of MLCommons.org), who will share their insights on new frontiers in data-centric AI.

The session was then opened up to the audience for Q&A.

Introduction - 0:00​
Session overview - 1:18
Reflections on 3 years of Inspiration Exchange by Mihaela - 3:00
Data-Centric AI: What is DCAI & latest tools by Nabeel - 09:05
Datagnosis by Rob - 26:22
Roundtable and Q&A - 34:06
Intro to next sessions - 1:03:00

NOTE: This information was up-to-date at the time of the presentation, but does not take into account material published since then.

For more info about data-centric AI, visit our website: https://www.vanderschaar-lab.com/data..., and see our previous IE session (   • Inspiration Exchange - Data-centric AI  ) (with Isabelle Guyon), and DC-Check (https://www.vanderschaar-lab.com/dc-c..., an actionable checklist for practitioners and researchers to elicit data-centric considerations through different stages of the ML pipeline.

Sign up for our upcoming sessions: https://www.vanderschaar-lab.com/enga...
The lab's publications are here: https://www.vanderschaar-lab.com/publ...