How AI Detectors Work and Their Technical Foundations Modern ai detectors rely on a mix of statistical signatures, machine learning classifiers, and metadata analysis to identify content that was generated or significantly assisted by artificial intelligence. At the core, many systems analyze token distributions, perplexity, and sentence-level oddities that differ from typical human writing patterns. These signals are combined in ensemble models that weigh linguistic features against source signals such as timestamps, editing histories, and file provenance. Beyond pure text analysis, some approaches use watermarking and cryptographic techniques embedded directly by model providers; these make detection deterministic when present, but adoption is uneven across the industry. Other detectors perform an…