8 stories tagged Content Moderation
Musubi released PolicyLM-1.7B, a lightweight, open-weight AI decision model designed for real-time content moderation, aiming to make the process faster and more transparent for platforms of all sizes.
Researchers introduced Nemotron 3.5 Content Safety Moderator, a compact 4-billion-parameter vision-language model that jointly classifies and moderates text, images, documents, and screenshots across multiple languages and custom policies, offering a cost-effective alternative to existing guardrails.
LinkedIn has introduced a new 'Seems like AI slop' button that lets users flag posts they believe are AI-generated. The feature is part of a broader push to reduce low-quality, AI-produced content on the professional networking platform.
NVIDIA released Nemotron 3.5, an open-source AI model that helps businesses customize safety filters. This tool lets companies adapt AI content moderation to local laws and cultural norms.
Researchers have developed a new system called MELD that detects AI-generated text more reliably. It's better at spotting edited AI text and works across different types of writing. This could help schools, social media, and publishers identify AI-written content more accurately.
A new study analyzes how large language models (LLMs) transition between user prompts and responses in terms of safety. The research found that 61% of responses de-escalate harm, highlighting the dynamic nature of risk in AI interactions.
Researchers propose new metrics to evaluate AI systems in rule-governed environments, addressing flaws in traditional agreement-based evaluation methods. The Defensibility Index and Ambiguity Index aim to better assess AI decision-making stability and policy compliance.
YouTube is rolling out a new feature allowing celebrities to find and request the removal of AI-generated deepfakes. This move aims to protect public figures from unauthorized AI-generated content.