Transparency and Accountability - Ramfel2022/IYAI-LTD GitHub Wiki

Transparency and Accountability

We commit to radical transparency in our AI pipeline.

๐Ÿงพ Public Logs

  • Training data sources
  • Fairness audit history
  • Deployment history

๐Ÿ‘๏ธ Explainability Practices

  • LIME/SHAP visualization for model output
  • Plain-language documentation (English, Latin, Filipino)
  • Public Q&A sessions on critical deployments

๐Ÿงญ Community Redress System

Users affected by an AI decision may request a formal review.