Josephine Yam

Bio

Josephine Yam is an AI lawyer, AI ethicist, and the CEO and Co-Founder of Skills4Good AI — the company that created Responsible AI Audit™, the first AI verification methodology and practitioner credential that teaches lawyers exactly how to verify AI outputs before they create professional liability.

Most lawyers who use AI have no systematic way to verify what they rely on. That gap creates professional liability — and courts are already sanctioning lawyers for it. Skills4Good AI provides the AI verification methodology to close that gap.

Skills4Good AI works with law firms and corporations with in-house legal teams to credential their lawyers through the Responsible AI Audit Practitioner (RAAP) designation — a law-specific, methodology-grounded credential that generates an audit documentation trail demonstrating professional compliance with bar obligations under the American Bar Association and the equivalent Law Societies of Ontario and Alberta. Bar associations serve as the distribution channel, providing the credential infrastructure across jurisdictions.

Skills4Good AI holds California State Bar MCLE approval, is an ASAE Registered Provider, and is a Government of Canada AI Training Provider. It has participated in trade missions with the Asia Pacific Foundation of Canada and Global Affairs Canada to Japan, Singapore, India, Australia, New Zealand, Africa, and the United States, and serves professionals across 15+ countries.

Josephine co-founded Skills4Good AI before ChatGPT existed — because, with a Master’s degree in Law and a Master's degree in AI Ethics, she realized that not everything legal is ethical, and not everything ethical is legal. Especially in AI.

As a practicing lawyer admitted to the bar in four jurisdictions — Alberta, New York, Ontario, and the Philippines — who practiced at Baker McKenzie across Toronto, Hong Kong, and Manila, the Asian Development Bank, and the Government of Alberta, she understood precisely the professional liability at stake when lawyers rely on AI outputs they have not verified.

Her three graduate degrees in Law and AI Ethics, combined with executive education from Stanford Graduate School of Business, Harvard Law School, and the University of Toronto, give the AI Audit methodology its legal and ethical foundation. Her peer-reviewed research in Ethics and Information Technology and the American Journal of Bioethics Neuroscience gives it its academic grounding.