India-specific AI risk classification reflecting societal context
Primary statement
MeitY AIGG2025.4 India-specific AI risk classification reflecting societal harms in Indian context (caste, linguistic, religious diversity, demographic patterns). ISO 42001 A.6.1.2 responsible-development objectives. EU AI Act Article 6 + Article 7 high-risk classification. NIST AI RMF MAP-1.1 intended purpose. India-specific risk overlay required for AI systems operating in India.
Audit-fatigue payoff
A unified AI risk classification — India-specific + EU AI Act + NIST AI RMF dimensions — satisfies AI risk classification requirements across all 6 contributing frameworks. The India-specific layer captures societal context other frameworks do not.
Strictness matrix
Scope
Scope: India-specific AI risk classification reflecting societal context — caste, linguistic diversity, religious diversity, demographic patterns. Coverage layered on top of generic risk classifications.
Ceiling source: meity_ai:AIGG2025.4
Rationale: MeitY AIGG2025.4 India-specific scope is uniquely articulated.
Threshold
Threshold: high-risk AI per Article 6 + Annex III enumeration. Plus India-specific high-risk per AIGG2025.4 societal-harm criteria.
Ceiling source: eu_ai_act:Art.6
Rationale: EU AI Act Art 6 + India AIGG2025.4 combined form the strictest threshold.
Method
Method: AI risk classification with India-specific societal-harm criteria + EU AI Act Art 6 + NIST AI RMF MAP-1.1 intended-purpose analysis + ISO 42001 A.6.1.2 responsible-development objectives + per-system risk-classification decisions documented.
Ceiling source: meity_ai:AIGG2025.4
Rationale: MeitY AIGG2025.4 India-specific method is uniquely strict for Indian deployments.
Frequency
Per-system classification at inception. Re-classification on material change. Annex III monitoring for Commission amendments (EU AI Act Art 7).
Ceiling source: eu_ai_act:Art.7
Rationale: Per-system + Annex III monitoring is the audit-defensible cadence.
Evidence
Evidence: AI risk classification methodology with India-specific criteria + per-system classification records + re-classification on material change + responsible-development objectives per ISO 42001.
Ceiling source: meity_ai:AIGG2025.4
Rationale: MeitY AIGG2025.4 evidence with India-specific criteria is uniquely strict.
Auditor test pattern
Step 1: Inspect AI risk classification methodology. Step 2: Verify India-specific societal-harm criteria included. Step 3: Sample one AI system; verify classification record. Step 4: Verify EU AI Act Art 6 + Annex III alignment for EU-deployed systems. Step 5: Verify re-classification on material change.
Common findings
Common findings: (1) India-specific criteria absent — generic risk classification only; (2) Per-system classification records absent; (3) Re-classification on material change skipped; (4) Annex III monitoring for EU AI Act amendments absent.