Work

Advisory, research, speaking, and fellowship engagements at the intersection of AI governance, digital policy, and gender equity in technology.

ADVISORY

Isabel advises boards and investment committees on AI governance, algorithmic risk, and the accountability dimensions of technology-driven decisions.

Her advisory work focuses on identifying governance gaps before they translate into reputational, regulatory, or economic exposure, with particular attention to Latin American and emerging market contexts, where regulatory fragmentation, high informality, and incomplete data representation create governance blind spots that standard frameworks do not address.

RESEARCH, POLICY & FELLOWSHIPS

Isabel writes and contributes to policy discussions on AI governance, algorithmic accountability, and digital policy in Latin America. She is open to research collaborations with academic institutions, think tanks, and policy organizations working on responsible AI, democratic accountability, and the governance of automated decision systems in emerging markets.

She engages with fellowship programs and policy clinics working at the frontier of AI governance and digital policy, particularly those that connect practitioner experience with policy methodology and address the governance challenges of Latin America and the Global South.

SPEAKING & EXPERT PANELS

Isabel speaks at international conferences, institutional events, and policy forums on AI governance, algorithmic accountability, gender equity in technology, and investment governance in Latin America.

Past engagements include IDB Buenos Aires, Women in Tech Paris, MITT Dubai, and WBAF Global Fundraising Stage USA. Available for keynotes, panel participation, and moderation in English and Spanish.

Advisory, Research & Speaking

Isabel Velarde works with investors, boards, and institutions on the governance and accountability dimensions of technology-driven decisions, helping organizations identify algorithmic risk before it becomes regulatory exposure, reputational cost, or economic harm.

AI Governance Advisory for Boards and Investors

Most governance failures in AI-enabled organizations are not technical. They are institutional. Accountability structures are absent or misaligned. Risk assessment frameworks were built for a different kind of decision. The result: organizations approve algorithmic systems without understanding what criteria they apply, what populations they cannot evaluate, and who is accountable when those systems produce outcomes the institution did not authorize.

Isabel works with boards and investment committees to close those gaps before they become a regulatory investigation, a reputational incident, or a liability the organization cannot explain.

Gender Equity & Algorithmic Bias in Technology Ecosystems

Proxy variables are the mechanism. Misallocated capital is the result.

Automated systems deployed in hiring, credit, and investment screening frequently exclude segments of the market through variables that standard audits do not flag. Organizations that do not address this are not only exposed to regulatory and reputational risk. They are systematically misreading the market and misallocating capital.

Isabel works with organizations and investors to identify those mechanisms, understand what governance conditions would interrupt them, and build data strategies that expand rather than restrict the universe of evaluable opportunities.

Research, Policy & Fellowship Engagement

Isabel engages with academic institutions, think tanks, and policy organizations on the governance frameworks that organizations operating in Latin America will need to navigate as AI regulation matures across the region. Her research addresses the specific institutional conditions of emerging markets, including regulatory fragmentation, data gaps, and accountability structures, that make imported governance models insufficient.

She seeks fellowship programs and policy clinics that connect practitioner experience with rigorous policy methodology, with a focus on institutional contexts where regulatory capacity is still being built and governance frameworks are still being written.