11 stories tagged AI Detection
Instagram’s AI content labels, meant to flag synthetic images, are now incorrectly tagging real photos as AI-generated. Users report widespread confusion and frustration. Meta has not yet addressed the issue.
AI detection startup Pangram raised $9 million to scale its software and released Pangram 4, a new text detection model, alongside an AI image detection model in research preview.
A professor at a university embedded an invisible, obscure question in an assignment to catch 32 out of 35 students using AI to cheat. The trap exploited AI's tendency to produce generic or incorrect answers to unusual prompts, revealing a simple but effective detection method for educators.
Substack is introducing a new AI-detection tool powered by Pangram to help users identify AI-written content. The feature scans posts, notes, replies, and comments to estimate how much text may have been generated or assisted by AI, aiming to increase transparency on the platform.
TikTok is introducing an opt-in tool for creators to scan for AI-generated likenesses and report them. This move aims to combat the rise of deepfakes on the platform, giving creators more control over their digital identity.
A new arXiv study reveals that the European Patent Office's 2026 guidelines create a paradox: human-written patent claims, required to be clear and concise under Article 84, can exhibit the same low-perplexity patterns as AI-generated text, making detection nearly impossible on consumer GPUs.
A new tool called Jacobian Fingerprinting can identify text written by large language models by analyzing subtle mathematical patterns. This could change how content is verified online, making it easier to spot AI-written material.
A new movement in the fanfiction community aims to ban AI-generated works, but its detection methods may unfairly target innocent writers. The debate highlights broader tensions around AI in creative spaces.
Deezer is introducing a tool that scans playlists on other streaming services to detect AI-generated music. This follows their earlier efforts to label AI music and offer detection technology to competitors.
Researchers developed Sem-Detect, a tool that identifies AI-written peer reviews by examining both text and the ideas they express. This could help maintain integrity in academic publishing.
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.