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