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AI Forensics is a non-profit organization that investigates influential and opaque algorithmic and AI systems. The organization develops and maintains custom auditing tools and evidence collection infrastructure to study recommender systems and generative AI. Its team conducts data-driven audits using techniques such as sock-puppeting, scraping,
and user data donation to simulate user behavior and analyze algorithm outputs. AI Forensics focuses on topics including election integrity, algorithmic bias, content moderation, disinformation, and digital rights. It provides datasets, methodologies, and technical reports to researchers, journalists, policymakers, and civil society groups. The organization also offers trainings and workshops on algorithmic auditing and collaborates on strategic litigation and policy advocacy to support technology regulation and accountability.
