~2 m

CoPilot 🔗ChatGPT 🔗Claude 🔗
ℹ️AI Model Metadata the nature of the AI in use
  • architecture
  • hyperparameters
  • training sources
  • versioning
  • performance metrics
ℹ️AI Model Metadata the nature of the AI in use
  • architecture
  • hyperparameters
  • training sources
  • version numbers & provenance
  • evaluation metrics
  • usage: e.g. licenses, limitations
ℹ️AI Model Metadata the nature of the AI in use
  • architecture
  • hyperparameters
  • training sources
  • version numbers & provenance
  • performance metrics
  • usage: e.g. limitations
ℹ️AI Data the data used to make the AI function
  • provenance: origins, transforms, flows, licenses
    crucial for debugging and compliance.
ℹ️AI Datasets the data used to make the AI function
  • provenance: origins, transforms, flows, licenses
  • descriptive: dataset name, creator, creation date, format, size.
  • quality: labeling accuracy, bias detection results, completeness.
  • ethical: consent info, privacy considerations, restrictions
ℹ️AI Training Metadata the data used to make the AI function
  • provenance: origins, transforms, flows, licenses
  • descriptive: training hyperparameters and configs
  • quantitative: compute resources, training duration, costs, testing results
ℹ️AI Inference Metadata generated during AI usage
  • usage: when, where, what, how ai made/changed content
  • metrics: timestamps, resources, models used, confidence scores
  • provenance: sources
ℹ️AI Generated Content generated during AI usage
  • usage: when, where, what, how ai made/changed content
  • metrics: timestamps, resources, models used
  • provenance: sources, ai-generated tagging, watermarking
  • attribution: model, services & sources backlinks
ℹ️AI Inference Metadata generated during AI usage
  • usage: when, where, what, how ai made/changed content
  • metrics: timestamps, resources, models used
  • provenance: sources, ai-generated tagging, watermarking
ℹ️AI Feature Metadata a copilot category
  • feature types
  • encoding strategies
  • statistical properties & relationships
ℹ️AI Governance & Compliance a chatGPT category
  • Transparency Auditing AI
  • Reproducibility
  • Ethical compliance
ℹ️AI Content Metadata a Claude category
  • Provenance markers
  • Generation prompts & params
  • QA & human review status
  • Licensing and usage