In March, I presented at ESOMAR’s LATAM Congress on the role of methodological innovation in responsible AI governance. My research discusses using ethically governed synthetic datasets to understand hard-to-reach immigrant groups. I address AI governance trade-offs and emphasize the need for careful strategic decisions to balance privacy, innovation, and social inclusion.
Category: Data Literacy
Future-Ready Platforms: AI Governance and Resilience Strategies
Our Founder’s keynote at CDAO Canada highlighted the necessity of AI governance in enhancing creative economies and operational resilience. Discussions emphasized that AI-driven systems must integrate governance to provide security and scalability. Next-gen systems are viewed as foundational tools for access and opportunity, reliant on user-focused design and testing for effectiveness.
Frontier Innovations with Generation1.ca’s Immigrant Nations
Global post-digital talent, including immigrants and globally mobile professionals, represents a significant competitive advantage for organizations. While technology has been prioritized, understanding and leveraging this talent can reshape workforce strategies. Companies that activate global talent effectively will lead in innovation and market growth, blending profit with social impact for a sustainable future.
Learn about Data Quality at CIPHER in DC
From February 25–27, global leaders in research will discuss maintaining data quality and accountability as AI evolves insight production. CEO Arundati Dandapani will lead a session and specifically present on synthetic data’s governance implications, emphasizing its impact on immigrant representation. The session aims to integrate multiple perspectives on ethical data practices amid AI advancements.
Who Gets Counted? Power, Privacy and the People Missing from Our Data
Join Generation1.ca for “Power Talks and Cocktails” on February 05, 2026, from 3:00 to 5:00 PM EST in honour of international data privacy day and week. This interactive webinar will address the implications of underrepresentation in data collection on marginalized communities, while fostering dialogue among leaders across various sectors on ethics, privacy, and trust in data practices.
