Inspiration Exchange #30

Engagement session

We’ll be holding our next Inspiration Exchange session on October 2 at 16:00 BST.

Join us to 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’re eager to share recent advances and discuss new, unexplored directions that could yet provide new breakthroughs. For more info about data-centric AI, visit our website: https://www.vanderschaar-lab.com/data-centric-ai/, and see our previous IE session (with Isabelle Guyon), and, DC-Check, an actionable checklist for practitioners and researchers to elicit data-centric considerations through different stages of the ML pipeline.