Everyone wants to do the ML model work, not the data work

"Data is the lifeblood of AI."

Join Piotr Sokolski, a Senior Applied Scientist at Wayve Technologies in London, as he talks about a recent paper highlighting the importance of Data in the ML engineering process and its central role at Wayve, an Autonomous Vehicle company in London utilizing end-to-end ML: https://research.google/pubs/pub49953/

Talk Abstract:
A reading group for the recently published paper: "Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI. We will discuss data cascades - compounding events causing negative, downstream effects from data issues, resulting in technical debt over time when working with Machine Learning. I will illustrate these with problems we've been facing when training ML models for self driving cars at Wayve.