{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "@id": "https://aiidentifiers.com/knowledge.json",
  "name": "AI Identifiers — Detection Knowledge Base",
  "description": "Educational reference dataset covering AI content detection methodology, model capabilities, and platform statistics. Published by AI Identifiers under Creative Commons Attribution 4.0.",
  "url": "https://aiidentifiers.com/knowledge.json",
  "sameAs": "https://aiidentifiers.com/api/public/knowledge",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "isAccessibleForFree": true,
  "datePublished": "2026-01-01",
  "dateModified": "2026-07-04",
  "creator": {
    "@type": "Organization",
    "name": "AI Identifiers",
    "url": "https://aiidentifiers.com"
  },
  "keywords": [
    "AI detection", "deepfake detection", "synthetic media", "Google SynthID",
    "AI-generated content", "content authenticity", "machine learning forensics",
    "GAN fingerprint", "voice cloning detection", "LLM text detection"
  ],
  "variableMeasured": [
    { "@type": "PropertyValue", "name": "aiDetectionAccuracy", "value": "95.8%", "unitText": "percent" },
    { "@type": "PropertyValue", "name": "avgProcessingLatency", "value": "347", "unitText": "milliseconds" },
    { "@type": "PropertyValue", "name": "platformUptime", "value": "99.9%", "unitText": "percent" },
    { "@type": "PropertyValue", "name": "supportedLanguages", "value": "78", "unitText": "languages" },
    { "@type": "PropertyValue", "name": "detectionModels", "value": "12+", "unitText": "models" }
  ],
  "spatialCoverage": "Global",
  "temporalCoverage": "2026-01-01/..",
  "liveData": "https://aiidentifiers.com/api/public/knowledge",
  "methodology": {
    "detectionLayers": [
      {
        "name": "Google SynthID Watermark Detection",
        "type": "Cryptographic watermarking",
        "detects": ["Imagen", "Lyria", "Gemini-generated content"],
        "falsePositiveRate": "0%"
      },
      {
        "name": "GAN Fingerprint / Frequency Analysis",
        "type": "DCT spectral analysis",
        "detects": ["StyleGAN", "BigGAN", "ProGAN", "DALL-E", "Midjourney", "Stable Diffusion"],
        "notes": "Periodic spectral artifacts invisible to human perception"
      },
      {
        "name": "CLIP Embedding Classifier",
        "type": "Semantic embedding distance",
        "detects": ["DALL-E 3", "Midjourney", "Flux", "Firefly", "Playground AI"],
        "notes": "AI images cluster in distinct region of CLIP embedding space"
      },
      {
        "name": "Temporal Coherence Analysis",
        "type": "Video forensics",
        "detects": ["Face swaps", "Deepfake video", "Sora", "Runway", "Pika", "Kling"],
        "notes": "Inter-frame noise inconsistency and optical flow anomalies"
      },
      {
        "name": "Voice Synthesis Detection",
        "type": "Audio forensics",
        "detects": ["ElevenLabs", "OpenAI TTS", "Suno", "Udio", "VALL-E", "Coqui"],
        "notes": "Prosody patterns, mel-spectrogram artifacts, missing room acoustics"
      },
      {
        "name": "LLM Text Classifier",
        "type": "Statistical linguistic analysis",
        "detects": ["ChatGPT", "GPT-4o", "Claude", "Gemini", "Llama", "Mistral"],
        "notes": "Token distribution, perplexity curves, burstiness analysis — 78 languages"
      }
    ]
  },
  "aiGeneratorsDetected": {
    "image": ["DALL-E 2", "DALL-E 3", "Midjourney v4/v5/v6", "Stable Diffusion 1.x/2.x/XL/3", "Flux", "Adobe Firefly", "Google Imagen", "StyleGAN 2/3", "BigGAN", "Playground AI"],
    "video": ["Sora", "Runway Gen-2/Gen-3", "Pika", "Stable Video Diffusion", "Kling", "Luma Dream Machine"],
    "audio": ["ElevenLabs", "OpenAI TTS", "Suno v3/v4", "Udio", "Bark", "Tortoise TTS", "VALL-E"],
    "text": ["GPT-3.5", "GPT-4", "GPT-4o", "Claude 2/3/3.5", "Gemini Pro/Ultra", "Llama 2/3", "Mistral", "Cohere Command"]
  },
  "apiEndpoints": {
    "detection": "POST https://aiidentifiers.com/api/upload",
    "liveStats": "GET https://aiidentifiers.com/api/stats/public",
    "fullKnowledge": "GET https://aiidentifiers.com/api/public/knowledge",
    "openApiSpec": "GET https://aiidentifiers.com/openapi.json",
    "mcpServer": "https://aiidentifiers.com/api/mcp"
  },
  "educationalUse": [
    "AI literacy education",
    "Media forensics research",
    "Disinformation studies",
    "Academic integrity tooling",
    "Content moderation research"
  ]
}