Carter Cousineau is vice president of data and AI governance and ethics at Thomson Reuters. She also is a principal investigator for the NIST AI Safety Consortium, sits on the International Association of Privacy Professionals Advisory Board of Canada, and advises the Data Sciences Institute at the University of Toronto. She was formerly the managing director of the Centre for Advancing Responsible and Ethical AI at the University of Guelph. Her research interests include emerging technologies, interpretable AI, human-computer interactions, trustable AI, and data governance. Carter holds a master’s degree from the Booth School of Engineering Practice and Technology and is a doctoral candidate in computational sciences at the University of Guelph.
Voting History
Statement | Response |
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Organizations are sufficiently expanding risk management capabilities to address AI-related risks. Agree | “I agree that organizations are expanding their risk management capabilities for AI-related risks. Some made strong commitments to ensure that trust and the responsible use of data and AI handling was embedded across the culture several years ago. The areas they have extended capabilities in are creating a data- and AI-driven culture and responsible awareness, ensuring that they are compliant with laws and regulation, building resources and skills expertise in-house (teams/internal committees) while leveraging external resources (committees/councils), and knowledge collaboration/sharing internally (an ethics advisory committee and AI red teaming) and externally (for example, NIST's AI Safety Institute Consortium).” |