Programs
Internships, fellowships, mentorships, and volunteer opportunities for all backgrounds.
Explore ProgramInternships, fellowships, mentorships, and volunteer opportunities for all backgrounds.
Explore ProgramAI Testing Lab, Governance Validation Tool (GVT), and GTaaS for compliance and risk management.
See ProductsArticles, blogs, whitepapers, events, and learning modules for AI governance and compliance.
Browse ResourcesCollaborate with industry, academia, and government to shape the future of AI governance.
Meet PartnersWAIG (World AI Governance) is a non-profit initiative aiming to make AI safe, ethical, and accessible globally. Its vision is a unified, trusted AI Testing Labs, a Governance Validation Tool, and a “Governance Testing as a Service” platform.

WAIG should adopt measurable objectives (e.g. bias reduction, transparency, robustness) and assign clear roles (Chief AI Ethics Officer, DPO, Ethics Board, Security Lead) as per ISO/IEC 42001, NIST AI RMF, GDPR, and India's DPDPA. Use the Plan-Do-Check-Act approach for continuous improvement.
Assess maturity
Establish an AI ethics committee, set fairness metrics, conduct bias audits, and ensure human oversight and transparency (model cards, incident ledgers, appeal processes).
Governance framework
Tailor frameworks for healthcare (privacy, safety, bias), finance (fairness, fraud, compliance), and education (equity, transparency, record-keeping) to meet global standards.
Sector programs
Integrate risk registers, DPIAs, audit logs, and regulatory checks (GDPR, EU AI Act, DPDPA) into GVT/GTaaS. Embed privacy, consent, and cybersecurity controls (adversarial testing, encryption, access control).
Explore GVT
Expand adversarial test catalog (NIST), simulate attacks, stress-test models, and document results. Enable red teaming and continuous monitoring for anomalies and retraining.
AI Testing LabScroll through mapped standards for AI governance, cyber resilience, and sector regulation in India and globally.
As a not-for-profit, WAIG provides independent guidance, standards-aligned governance, and certification support — without selling software or acting as a commercial vendor. Sustainable program fees fund trainers, researchers, and chapter-led nation-building initiatives.
Board-ready guidance on AI strategy, policy, risk, and governance operating models for governments and institutions.
Public-interest voice in global AI safety discourse — OWASP, EU AI Act, OECD, and open assurance research.
Maturity assessment, control mapping, gap analysis, and certification readiness aligned to ISO/IEC 42001.
Independent assessment, adversarial testing, and assurance pathways through WAIG programs and labs.
WAIG Foundation is a global not-for-profit — not a product vendor or commercial consultancy. Training, certification, mentorship, and capacity-building programs carry fees because sustainable nation-building skilling requires real investment: world-class trainers, researchers, and experience-led mentors cannot be delivered on empty promises of “free.”
Learners, institutions, and funders trust programs with transparent, mission-aligned pricing — not giveaways that signal low quality or hidden commercial motives.
Fees fund curriculum design, chapter operations, labs, assessment infrastructure, and inclusion pathways — university streams, women-in-AI cohorts, government academies, and internships.
Mentorship, trainer honoraria, and researcher time are funded so WAIG can attract experienced practitioners — not volunteers-only delivery that cannot sustain national AI governance skilling.
Surplus supports advocacy, open assurance research, chapter expansion, and subsidised seats — every rupee is reinvested in the not-for-profit mission, not shareholder returns.
Direct support for programs, research, and public-interest initiatives
Join the practitioner community and access member benefits
Training and certification pathways with mission-transparent fees
Not-for-profit advisory for governments and institutions
A global not-for-profit advancing responsible, ethical, and transparent AI — through programs, validation platforms, and partnerships with government, academia, and civil society.
Responsible AI is not one single checklist. WAIG presents three complementary views on purpose: our operational assurance model, a widely adopted six-pillar quality frame, and an expanded Responsible AI (RAI) lifecycle for enterprise governance. Each slide answers a different question — how WAIG delivers trust, how industry defines AI system quality, and how organizations govern AI end-to-end.
Why this view
WAIG's operating model for assurance — how programs, audits, validation platforms, and ecosystem partnerships map to six mutually reinforcing pillars that boards and regulators can track.
All 6 pillars
Trust
Foundational confidence in AI systems through independent validation, transparency, and stakeholder alignment.
Privacy
Data protection, consent, and confidentiality controls across the AI lifecycle.
Ethics
Human-centric values, harm prevention, and equitable outcomes in AI design and deployment.
Governance
Policies, roles, board oversight, and decision rights for accountable AI programs.
Security
Threat modeling, secure development, and resilience for models, data, and infrastructure.
Compliance
Mapping to national and international standards — DPDPA, RBI, ISO 42001, EU AI Act, and more.
Training, internships, fellowships, mentorships, and volunteer programs advancing AI governance literacy.
Explore ProgramsArticles, whitepapers, research, and learning modules for AI governance, advocacy, and compliance.
Browse ResourcesCollaborate with industry, academia, and government to shape responsible AI policy and practice.
Meet PartnersAI Testing Lab, Governance Validation Tool, and GTaaS — not-for-profit programs for audit, assessment, governance validation, and certification support.
IN PERSON
WAIG Foundation conclave focused on responsible AI governance for health and pharma ecosystems.
14/4/2026
VIRTUAL
Mentorship and ecosystem discussion for AI startups, innovators, and governance practitioners.
26/5/2026
HYBRID
Applied masterclass on governance testing, risk controls, and policy-aligned AI deployment.
22/8/2026
Highlighted programs and public-interest work across quarters.
INITIATIVE · Q1 2026
Session on sovereign open-source AI roadmap and democratizing AI for India’s scale.
WAIG advisory engagements emphasise documented controls, audit-ready evidence, and standards alignment — especially ISO/IEC 42001 — rather than black-box automation or product sales.
WAIG actively contributes to OWASP's AI security initiatives, including AI Vulnerability Scoring System (AI VSS) and LLM Top 10. Our focus is on risk modeling, misuse scenarios, control validation, and secure-by-design AI governance.

WAIG contributes to global AI safety discourse through policy-aligned research, governance frameworks, and responsible AI practices. Our work supports human-centric, transparent, and accountable AI systems aligned with international safety and ethics principles.
WAIG contributes to the understanding and operationalization of the EU AI Act by translating regulatory requirements into practical AI governance, risk management, and compliance frameworks. Our work supports organizations in aligning with risk-based AI classification, accountability obligations, transparency controls, and lifecycle governance expectations defined under the Act.
Explore advisory & assurance programs or browse research & whitepapers.

Simulates real-world AI threats including deepfakes, model drift, and prompt injection to validate safety, fairness, and robustness.

Evaluates AI models against ISO 42001, NIST AI RMF, DPDPA, GDPR, and OECD guidelines for explainability and compliance.

Governance Testing-as-a-Service: an API-first platform to embed AI governance directly into MLOps pipelines.
Composite examples. Details on the full case studies page.
200+ policy PDFs across jurisdictions. New hires spent 2–4 hours locating authoritative answers. No citation trail for audit.
No single view of risk → control → remediation. Fire drills before every ISO recertification. Evidence scattered across 12 tools.
Uncontrolled ChatGPT adoption across 2,000 employees. Prompt injection incidents, data leakage, no tamper-evident audit trail.
30 departments with no unified DPDP compliance view. PII in evidence artifacts stored without anonymization.
No enterprise AI inventory. Manual spreadsheets for EU AI Act and ISO 42001 evidence. Board lacked trust index visibility.
Rising AI-generated voice fraud targeting citizens. Officers lacked court-defensible multimedia analysis tools.
Customer-facing LLM chatbot launching in 6 weeks. No adversarial testing performed.
9 platforms released monthly with inconsistent quality checks. Performance regressions discovered post-release.
How governments, regulators, and organisations engage WAIG for governance advisory, audit, assessment, and certification support.
Support WAIG’s not-for-profit mission through membership, donations, and mission-transparent program fees — sustaining mentorship, trainer honoraria, researcher-led curriculum, and public-interest assurance across India and partner nations.