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Clean Chat - Open Source Toxicity Detection Framework (Presented by Google)

Patrick Smith  (Machine Learning Specialist, Google)

Dan Zaratsian  (Solutions Architect, Google)

Location: Virtual GDC Platform

Date: Thursday, March 24

Time: 3:30 pm - 4:00 pm

Pass Type: All Access Pass, Core Pass, Summits Pass, Expo Plus Pass, Audio Pass, Independent Games Summit Pass, All Access Online Only Pass - Get your pass now!

Topic: Programming

Format: Sponsored Session

Viewing Experience: Virtual

Vault Recording: Not Recorded

Audience Level: Prefer not to say

Google

In large open multiplayer games, toxicity is rampant. Google Cloud's open source framework aims to assist studios in detecting toxic behaviour, with the goal of making games more enjoyable and inclusive for all. The framework allows studios to proactively detect toxicity in voice and text chat, and provides scores to game moderation services or player support personnel. The project provides a globally scalable framework for training, deploying, and maintaining anti-toxicity models and comes pre-packaged with several machine learning 'base models' that allow you to train, or fine tune, the models to detect toxic speech in the vernacular of your game's players.