The Data Cloud Podcast
Driving Innovation and Accountability with Data with Carter Cousineau, VP of Responsible Data and AI at Thomson Reuters
Nov 19, 2024
Carter Cousineau, VP of Responsible Data and AI at Thomson Reuters, leads efforts in ethical AI and data integrity. He discusses the significance of responsible AI and how it fosters trust through principles like transparency and fairness. Carter emphasizes the vital role of data governance in digital transformation and how Thomson Reuters promotes data and AI literacy. He also highlights the societal impact of data initiatives and shares practical guidance for organizations creating responsible AI frameworks.
28:51
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Quick takeaways
- Responsible AI requires transparency, fairness, and accountability, crucial for maintaining trust in regulated industries like legal and finance.
- Fostering data and AI literacy through enterprise-wide training empowers employees, enhancing the organization's overall approach to responsible innovation.
Deep dives
The Importance of Responsible AI in Business
Responsible AI is centered around principles of transparency, fairness, accountability, and privacy. These principles ensure that AI tools not only deliver data but also provide trustworthy insights, which are especially critical in regulated industries such as legal and finance. For companies like Thomson Reuters, responsible AI is about aligning AI solutions with regulatory standards while meeting user expectations, ultimately strengthening customer trust. This framework is not merely an ethical obligation but a strategic necessity that maintains integrity and builds confidence among users.
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