The Data Gap: Human-in-the-loop Strategies for Keeping a Model Relevant – Mikael Huss, Codon Consulting

Codon developed a content moderation system for a Swedish social media app. This talk explains how they tackled limited and biased data, and changes in trends.

Session Outline

Codon developed a content moderation system for a Swedish social media app. In this talk, we’ll explain how we tackled challenges like limited and biased data, changes in trends (concept drift), and managing expectations. The model, which has been running for two years, is still active and regularly updated. We’ll also share how we keep it up to date.

Key Takeaways

  • Data augmentation for textual data
  • Metrics and expectation management
  • Prediction confidence estimation
Add a comment

Leave a Reply