AI Detection
Fine-Tuned BERT Classifier Detects AI-Generated Turkish News
New research presents a fine-tuned BERT model for detecting AI-generated content in Turkish news media, bridging perception studies with evidence-based classification methods.
AI Detection
AI Detection
PAN 2026 Unveils Five Shared Tasks for AI Detection Research
PAN 2026 announces five research challenges targeting generative AI detection, text watermarking, multi-author analysis, plagiarism detection, and reasoning trajectory identification.
AI Detection
Training Humans to Detect AI Text: Rubric-Based Calibration
New research introduces cognitive calibration methods to improve human detection of LLM-generated Korean text, shifting from intuition to expertise-based assessment.
AI Detection
Linguistic Analysis Reveals Why AI Text Detectors Generalize
New research uncovers the linguistic patterns that enable AI-generated text detectors to generalize across different language models, offering insights for more robust synthetic content detection.
deepfake fraud
Deepfake Fraud Tools Falling Short of Criminal Expectations
Despite fears of sophisticated AI-powered fraud, deepfake tools are proving less effective than criminals anticipated. New analysis reveals the gap between hype and reality in synthetic media attacks.
Explainable AI
xDNN(ASP): Logic-Based Explainability for Neural Networks
New research combines deep neural networks with Answer Set Programming to generate human-readable explanations for AI decisions, advancing interpretability crucial for detection systems.
deepfakes
Deepfake Maduro Images Expose Political Misinformation Crisis
Fabricated AI-generated images depicting Venezuelan President Maduro's arrest highlight growing concerns about synthetic media's role in political disinformation and public trust.
voice cloning
Resemble AI CEO Zohaib Ahmed on Voice Cloning's Future
Resemble AI CEO Zohaib Ahmed discusses the evolving landscape of voice cloning technology, AI-generated audio authenticity, and the company's approach to responsible synthetic voice development.
AI Detection
Unknown-Aware Attribution: Identifying AI Content Origins
New research tackles the challenge of attributing AI-generated content to specific models while handling unknown generators—critical for deepfake detection and digital authenticity verification.
AI Detection
New Study Shows Humans Struggle to Identify AI-Generated Images
Research reveals significant limitations in human ability to detect AI-generated images, raising critical questions about synthetic media verification and the future of visual authenticity.
AI Detection
Study: Academic Journal AI Policies Fail to Stop AI Writing Surge
New research reveals academic journals' AI usage policies have had minimal impact on the surge of AI-assisted writing in scholarly publications, raising questions about detection effectiveness.
forensic linguistics
LLMs Meet Forensic Linguistics: Detection and Attribution Challen
New research examines how large language models are transforming forensic linguistics, creating both powerful detection tools and unprecedented challenges for authorship attribution and AI text identification.