On May 26, 2026, Josephine Yam, JD, LLM, MA Phil (AI Ethics), CEO & Co-Founder of Skills4Good AI, served as a distinguished panelist at the Silicon Valley VC-BootCamp — Toronto Edition, held at BDC Square (37th Floor, 81 Bay Street) as part of Toronto Tech Week. The event, produced in partnership with the Business Development Bank of Canada (BDC), brought together leading venture capital firms, institutional limited partners (LPs), and scaling founders from across North America, Europe, and the Middle East to explore how AI is reshaping investment decision-making. Josephine participated in Panel II: LPs, Governance, and Trust, alongside general partners from Ripple Ventures, Maple VC, and Kairovant VC, a fellow from TACT, and a BDC representative.

As the only lawyer and AI ethicist on the panel, Josephine brought a legal and governance perspective to three core themes: navigating the black box in AI-assisted investment decisions, the intersection of AI compliance and fiduciary duty in capital allocation, and translating AI governance frameworks into actionable due diligence. Drawing on VC-BootCamp’s Silicon Valley white paper, Intelligence Without Guardrails, Josephine addressed the governance architecture gap in AI-powered fund management, the risks posed by reasoning gaps in AI-assisted investment analysis, and the fiduciary accountability that regulated professionals cannot disclaim when relying on AI outputs. She connected these themes to the work of Skills4Good AI’s Responsible AI Audit™ methodology — the accredited AI verification framework that equips regulated professionals to verify AI outputs before they create professional liability.

Josephine Yam is an AI lawyer, AI ethicist, and one of Canada’s leading voices on Responsible AI in professional practice. Her TEDx talk, “How to Right Algorithmic Wrongs,” has reached audiences in Canada and internationally. Skills4Good AI is a Government of Canada AI Training Provider and the creator of Responsible AI Audit™, the first AI verification methodology that teaches professionals to verify AI outputs before they create professional liability.