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Documentation Index

Fetch the complete documentation index at: https://docs.responsibleailabs.ai/llms.txt

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Endpoint: POST /railscore/v1/compliance/check | Framework code: india_ai_gov | Credits: 5.0 प्रति call
India की AI governance guidelines responsible AI development और deployment के लिए principles establish करती हैं। Compliance check, इन principles के against AI content को evaluate करता है, जिसमें fairness, transparency, accountability, और safety शामिल हैं।

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Supported checks

क्षेत्रPrincipleक्या check होता है
FairnessNon-discriminationOutputs में protected attributes के across bias दिख रहा है या नहीं
TransparencyExplainabilityAI involvement और decision basis disclose किया गया है या नहीं
AccountabilityAuditabilityAudit trails और responsibility chains मौजूद हैं या नहीं
SafetyHarm preventionHarmful outputs के against safeguards मौजूद हैं या नहीं
PrivacyData protectionIndia के data protection framework के साथ alignment
InclusivityAccessibilitySystem diverse populations को equitably serve करता है या नहीं
ReliabilityAccuracyOutputs reliable और consistent हैं या नहीं

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Request

curl -X POST https://api.responsibleailabs.ai/railscore/v1/compliance/check \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_RAIL_API_KEY" \
  -d '{
    "content": "Based on the applicant profile, the system recommends denying the insurance claim.",
    "frameworks": ["india_ai_gov"],
    "context": "Insurance claim processing AI for Indian customers"
  }'

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Response

{
  "result": {
    "overall_compliant": false,
    "frameworks": {
      "india_ai_gov": {
        "compliant": false,
        "issues": [
          {
            "clause": "Transparency — Explainability",
            "description": "Automated denial recommendation lacks explanation of factors considered.",
            "severity": "high",
            "remediation": "Provide a clear explanation of the key factors that led to the denial recommendation, and disclose that the decision was AI-assisted."
          },
          {
            "clause": "Accountability — Grievance redressal",
            "description": "No mention of appeal or grievance mechanism for the affected individual.",
            "severity": "medium",
            "remediation": "Include a mechanism for the applicant to contest or appeal the automated recommendation."
          }
        ]
      }
    }
  },
  "credits_consumed": 5.0
}

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India DPDP के साथ combine करें

Comprehensive India compliance के लिए, governance guidelines को DPDP के साथ check करें: 
curl -X POST https://api.responsibleailabs.ai/railscore/v1/compliance/check \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_RAIL_API_KEY" \
  -d '{
    "content": "The system processes Aadhaar-linked records to verify identity.",
    "frameworks": ["india_ai_gov", "india_dpdp"],
    "context": "Identity verification AI for Indian financial services"
  }'
Deeper DPDP compliance (PII scanning, consent tracking, breach timers) के लिए, dedicated India DPDP endpoints का उपयोग करें।
Model card generation, fairness audits, और sector-specific compliance के लिए dedicated India AI governance endpoints development के under हैं।