The Problem
Western Fairness Tools Miss India
Caste is Invisible
Western AI fairness tools detect gender and race but completely miss caste-based discrimination in names, locations, and institutions.
Religion Unaddressed
No detection for religious bias through name patterns, geographic associations, or linguistic markers common in Indian data.
Regional Disparities
State and language-based discrimination, urban-rural bias — dimensions that don't exist in US-centric frameworks.
Regulatory Gap
DPDP Act, RBI AI guidelines, and sector regulations require demonstrable fairness — but no tools exist to prove it.
Live Demo
Bias Detection Dashboard
Watch Vishwas analyze loan applications in real-time. Simulate different scenarios to see Indian-context bias detection.
Capabilities
Six Dimensions of Indian Bias
Vishwas detects bias across dimensions unique to Indian society.
Caste Detection
Identify proxy indicators in names, locations, education institutions, and occupation patterns that correlate with caste.
Religion Analysis
Detect religious bias through linguistic patterns, name-based inference, and geographic associations in model decisions.
Regional Fairness
Measure state, language, and urban-rural disparities. Ensure models don't discriminate based on geography.
Gender Intersection
Analyze gender bias as it intersects with caste, class, and regional factors — not in isolation.
Economic Status
Detect proxy indicators for economic status in application data that may lead to discriminatory outcomes.
Intersectional View
Understand how multiple protected characteristics interact to create compounded discrimination.
Explainability
Every Decision Explained
RTI-ready explanations for every AI decision.
Decision Audit Trails
Complete reasoning chain. Factor weights. Confidence scores. Alternative outcomes considered.
Counterfactual Answers
"What would change the outcome?" Minimum changes needed. Actionable guidance for applicants.
Vernacular Explanations
Hindi, Tamil, Telugu, Kannada, Bengali, Marathi. Plain language, not translated jargon.
RTI Templates
Pre-formatted responses for RTI queries. Complete documentation. Ready to send.
How It Works
From Detection to Remediation
Connect
Integrate with your ML pipeline or decision system via API
Analyze
Vishwas scans for bias and generates explanations
Report
Detailed reports with bias locations, explanations, and severity
Remediate
Actionable recommendations to fix identified issues
Use Cases
Where Vishwas Applies
My loan approval AI might be biased
Vishwas analyzes credit scoring models for caste and regional proxies that could lead to discriminatory lending.
Insurance claims seem unfair across regions
Detect if claims processing treats applicants from different states or economic backgrounds differently.
Government scheme allocation needs audit
Verify that benefit distribution algorithms don't discriminate against any demographic group.
Our hiring AI needs fairness certification
Audit recruitment algorithms for bias across all protected categories before deployment.
Compliance
Regulatory Alignment
Pre-built compliance frameworks for Indian regulations.
| Regulation | Coverage |
|---|---|
| DPDP Act | Data protection impact assessments with fairness |
| RBI AI Guidelines | Algorithmic accountability for banking |
| SEBI Regulations | Fair treatment in algorithmic advisory |
| IRDAI Guidelines | Non-discrimination in underwriting |
RTI-Ready Documentation
Every Vishwas audit generates documentation formatted for Right to Information requests and CAG audits. Prove your AI is fair — don't just claim it.
Without Vishwas
- Western bias tools miss caste entirely
- No detection for religious discrimination
- Regional bias goes unnoticed
- Manual audits are expensive and slow
- Compliance documentation is ad-hoc
With Vishwas
- All five Indian bias dimensions covered
- Automated, continuous monitoring
- Intersectional analysis built-in
- Real-time bias alerts
- RTI-ready compliance documentation
Integration
Works With Your Stack
- API-First: REST APIs for real-time bias scoring
- Batch Processing: Analyze historical decisions at scale
- Model-Agnostic: Works with any ML model or LLM
- CI/CD Integration: Automated fairness testing in pipelines
- Dashboard: Proactive monitoring with alerts
Your Application
Vishwas API
Indian Calibration
Want the complete technical details? Bias detection methodology, fairness metrics, compliance frameworks, and integration guides.
Fair. Explainable. Auditable.
Trust built in.
