

Detecting Harmful Content at Scale // Matar Haller // #246
Jul 9, 2024
Matar Haller, VP of Data & AI at ActiveFence, discusses detecting harmful content online using AI, the challenges faced by platforms, leveraging Content Moderation APIs to flag harmful content, the importance of continuous model retraining, and transitioning hate speech models from notebooks to production APIs efficiently.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 3min
The Significance of AI for Trust and Safety Online
02:34 • 4min
Content Moderation APIs for Flagging Harmful Content
06:15 • 4min
Challenges and Solutions in Content Moderation
09:59 • 22min
Challenges in Using Transformer Models for Detecting Harmful Content
32:04 • 8min
Transitioning Hate Speech Model from Jupyter Notebook to Production API
40:03 • 2min
The Importance of Writing High-Quality Production Code for Data Scientists
42:20 • 9min