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Stream's AI Moderation Roadmap: From Detection → Proof

Blog post from Stream

Post Details
Company
Date Published
Author
Kenzie Wilson
Word Count
759
Company Posts That Month
9
Language
English
Hacker News Points
-
Post removed?
No
Summary

Stream’s moderation roadmap responds to the growing need not only to identify harmful content but also to demonstrate the accuracy and context of automated decisions. The plan begins with more configurable policies, including customer-selected moderation engines, versioning, vertical-specific templates, direct JSON editing, redesigned dashboards, and additional model review for high-stakes labels. It will add customer-specific performance reporting, dashboard-based feedback workflows, workforce management tools, and a public quarterly benchmark reporting precision, recall, false-positive rates, methodologies, and comparisons. The roadmap also expands beyond individual messages through cross-account abuse detection, campaign clustering, scam and link intelligence, and context-aware enforcement that considers conversation history and escalating or decaying strikes.

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