Building AI aligned with fairness, transparency, accountability and human values.
Explainable AI pipelines, model interpretability, visible decision paths.
Bias audits, dataset balance checks, inclusion-first design reviews.
Signed releases, version tracking, immutable audit logs.
Red-teamed scenarios, content filtering, harmful output prevention.
Critical workflows requiring human validation and override controls.
AI Ethics Board, regulatory compliance, open community input.
Cross-referenced fact-checking, RAG validation, misinformation filtering.
Mapping to OECD, UNESCO, EU AI Act, and India DPDP framework.