Learn and Empower Private Limited

1. to embed accessibility as a measurable pillar within global AI standards and risk frameworks. 2. to mandate accessibility audits for AI systems, especially those deployed in public services, education, healthcare, and governance just as we require safety and security audits. 3. to incentivize inclusion of sign languages and disability-relevant datasets in AI development, recognizing that sign languages are complete linguistic systems, not derivatives of spoken language. 4. to link public procurement and public funding for AI innovation to accessibility compliance benchmarks. Governments, as major AI adopters, can shape inclusive markets through demand.

• Safe, secure and trustworthy AI
• Social, economic, ethical, cultural, linguistic and technical implications of AI
• Transparency, accountability, and human oversight

As someone building AI solutions for sign language users in education, healthcare and an accessible internet, I would like to bring an inclusion lens to global AI governance. Today, over 1.3 billion people, nearly 16% of the global population live with disabilities, according to the World Health Organization. Yet most advanced AI systems are built primarily for text and voice users. Sign languages and accessible design remain largely absent from mainstream foundation models. The United Nations Convention on the Rights of Persons with Disabilities affirms equal access to information, communication, education, and public services. The Sustainable Development Goals 4 on Quality Education and SDG 10 on Reduced Inequalities commit us to "leave no one behind." As AI becomes embedded in public infrastructure, these commitments must extend into digital systems.