Open Problems Panel
Alessandra Tosi ⋅ Nathan Korda ⋅ Yuzhui Liu ⋅ Zhenwen Dai ⋅ Zhenwen Dai ⋅ Alexander Lavin ⋅ Erick Galinkin ⋅ Camylle Lanteigne
2020 Panel
in
Workshop: Challenges in Deploying and Monitoring Machine Learning Systems
in
Workshop: Challenges in Deploying and Monitoring Machine Learning Systems
Abstract
In this panel, we will present and discuss six open problems. The abstracts are available at the workshop's webpage: https://sites.google.com/view/deploymonitormlsystems/open-problems
- Yuzhui Liu (Bloomberg): Deploy machine learning models serverlessly at scale
- Zhenwen Dai (Spotify): Model Selection for Production Systems
- Alexander Lavin (Augustus Intelligence): ML lacks the formal processes and industry standards of other engineering disciplines.
- Erick Galinkin (Montreal AI Ethics Institute and Rapid7): Green Lighting ML
- Alexander Lavin (Augustus Intelligence): Approaches to AI ethics must consider second-order effects and downstream uses, but how?
- Camylle Lanteigne (MAIEI and McGill University): SECure: A Social and Environmental Certificate for AI Systems
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