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Love and Robots - Filtering Cheeky from Toxic with AI Content Moderation

Data Science Festival via YouTube

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Explore the critical challenge of effective content moderation and the crucial role of context-aware AI in this 11-minute talk from the Data Science Festival. Delve into Unitary's innovative approach to distinguishing harmful content through contextual analysis, allowing genuine connections to flourish while swiftly identifying and removing toxic interactions. Learn how AI can be leveraged to create safer online environments without stifling authentic communication.

Syllabus

Love and Robots: Filtering cheeky from toxic with AI content moderation

Taught by

Data Science Festival

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Love and Robots - Filtering Cheeky from Toxic with AI Content Moderation

  • Profile image for Ihcene Nafdja Bousba
    Ihcene Nafdja Bousba
    I found this talk genuinely interesting and easy to follow. It does a great job showing how tricky it is to separate playful, cheeky comments from truly toxic behaviour, and the examples made the concepts feel real. The speaker explained things in a down‑to‑earth way without overselling AI, which I appreciated. Overall, it’s a solid session for anyone curious about practical content moderation.
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