Transparency Report

Bharat Knowledge Graph AI Systems

2026

Annual Review

System Purpose

The Bharat Knowledge Graph employs Artificial Intelligence to enhance educational outcomes, not to police behavior. Our systems are designed to detect pedagogical gaps, not personal flaws. This report details our algorithmic impact and governance.

Key Metrics

Third-Party Audits✅ PASSED
Human Override Rate38.4%
Biometric CollectionSTRICTLY PROHIBITED

Capabilities & Limitations

✅ Active Modules

Concept Confusion Detection (Graph-based)
Engagement Drop Alerts (Temporal)
Participation Imbalance Monitoring
Equity & Bias Analysis

🚫 Excluded Technologies

❌ Biometric Data (Face/Voice)
❌ Emotion Recognition
❌ Personal Identity Profiling
❌ Background Audio/Video

Data Governance

The following data points are collected to generate educational signals. All data is anonymized after 24 hours.

Clickstream & Navigation EventsQuiz Responses & ScoresTimeline Interaction LogsSession Duration Metrics

Incident Log

Minor latency spike during 'Vedic Era' simulation (Resolved: Feb 2026)
False positive on 'disruptive behavior' alert adjusted (March 2026)

Policy Changes

Introduced 'Student Reflection Panel' for self-governance.
Implemented strict 'Audit Hook' protocol for external ethics review.
Added 'Super Admin' role for governance oversight.

Public Transparency Report • 2026 • Verifiable via SHA-256 Ledger

Generated 1/15/2026