Content Moderation
The use of AI to detect and remove harmful, illegal, or policy-violating content across online platforms, including hate speech, misinformation, explicit material, and spam at internet scale.
Major platforms process billions of content items daily using AI moderation — Meta's AI systems review over 3 billion pieces of content per day. AI content moderation catches approximately 95% of violations before human review. However, AI struggles with context, sarcasm, cultural nuance, and novel forms of harmful content. The EU's Digital Services Act and similar regulations require platforms to invest in effective content moderation. The human cost is significant — content moderators who review AI-flagged content experience high rates of psychological trauma. LLMs are increasingly used for more nuanced content analysis, though they introduce new challenges around bias and consistency.
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Related Terms
Artificial General Intelligence (AGI)
A hypothetical form of AI that can understand, learn, and apply knowledge across any intellectual task at or above human level, rather than being specialized for specific tasks.
AI Alignment
The research field focused on ensuring AI systems behave in accordance with human values and intentions, particularly as systems become more capable.
AI Safety
The interdisciplinary field focused on preventing AI systems from causing harm, encompassing alignment, robustness, interpretability, and governance of AI technologies.
Deepfake
AI-generated synthetic media — images, video, or audio — that realistically depict events or statements that never occurred, created using deep learning techniques.
EU AI Act
The European Union's comprehensive AI regulation, which entered into force on August 1, 2024, classifying AI systems by risk level and imposing requirements from transparency disclosures to outright bans.
Hallucination
When an AI model generates plausible-sounding but factually incorrect or fabricated information, presenting it with the same confidence as accurate responses.
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