Chapter
Facebook's Investment in AI Systems for Identifying Polarized and Harmful Content
1:23:19 - 1:29:02 (05:43)
Following the 2016 elections, Facebook increased its focus on identifying polarized and harmful content by investing in over a thousand engineers to build AI systems for proactive identification. The AI system is relatively easier to train on detecting such content but the challenge lies in recognizing nuances of harmful content in different languages without generating false positives.
Clips
AI can be trained to do relatively easier tasks like content moderation for explicit material or terrorist content, but it struggles with nuanced understanding of languages and contexts that can lead to false positives.
1:23:19 - 1:25:16 (01:57)
Summary
AI can be trained to do relatively easier tasks like content moderation for explicit material or terrorist content, but it struggles with nuanced understanding of languages and contexts that can lead to false positives.
ChapterFacebook's Investment in AI Systems for Identifying Polarized and Harmful Content
Episode#267 – Mark Zuckerberg: Meta, Facebook, Instagram, and the Metaverse
PodcastLex Fridman Podcast
Facebook has invested in building AI systems to proactively identify and remove misinformation and polarizing content from its platform.
1:25:16 - 1:29:02 (03:46)
Summary
Facebook has invested in building AI systems to proactively identify and remove misinformation and polarizing content from its platform. The company has also established an independent oversight board to hear appeals on cases related to free expression.