Yasodara (Yaso) Cordova is chief of privacy and digital identity research at Unico IDtech and a distinguished member of the investments committee of the Co-Develop fund. She has served as a senior fellow at the Digital Kennedy School at the Belfer Center, a fellow at the Berkman Klein Center for Internet & Society, and a Mason fellow at the Ash Center for Democratic Governance, all at Harvard University. She has also contributed to the World Bank’s governance sector as an innovation consultant and was CEO of Serenata de Amor Operation, an anti-corruption AI platform in Brazil. Cordova is a two-time recipient of the Vladimir Herzog Award in Journalism and Human Rights.
Voting History
| Statement | Response |
|---|---|
| Organizations are sufficiently expanding risk management capabilities to address AI-related risks. Disagree |
“Risk management is a domain expanding not only in capacity but also in scope. Organizations are maturing due to evolving regulations in various countries that bring financial and reputational risks closer to liability. Cybersecurity is adapting to privacy regulations — for example, giving rise to new disciplines such as privacy engineering. AI-related risks are likely to take a while to be absorbed, as happened with privacy. Progress in addressing AI-related risks is not keeping up with the required pace.
I mention privacy because many organizations, particularly in Latin America, are inadequately implementing proper data governance to comply with related regulations, despite this being a global issue. While some organizations excel in data integrity and quality, which is essential for mitigating AI-related harms, most are comfortable with extensive, unstructured data collection and sharing. Currently, minimal responsibility and diffuse liability prevail in this complex data flow ecosystem. If it required nearly a decade of regulations for organizations to begin enhancing their risk management capabilities for privacy, I am not optimistic that the situation will be different with AI.” |