Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
CISAAD is a prototype community resource developed by an interdisciplinary team at UMBC to strengthen AI analysis of English audio deepfakes. The resource provides a deepfake data catalog and repository, analysis tools and models, and educational materials to address challenges in information integrity.
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