As AI Policy Integration Lead at the Responsible AI Institute, Sabrina Shih serves as a translator between technologists and nontechnical AI stakeholders, including policymakers and senior corporate leadership across the sectors of healthcare, energy, financial services, and more. She contributes to the development and scaled delivery of responsible AI assessments, tools, and guidance aligned with leading AI regulation and standards, as part of the Institute’s commitment to advancing the responsible AI ecosystem. She has also served as a data scientist with Rights CoLab and is a contributing author to the United Nations’ IPCC Sixth Assessment Report. She is committed to building an equitable AI future, with a focus on the responsible development and adoption of frontier AI technologies. Recipient of the Russell C. Mills Award for excellence in computer science, Sabrina graduated summa cum laude from Columbia University with a degree in computer science and human rights.
In this session we will explore a responsible AI approach to rigorously defining and operationalizing generative AI use cases. Join us to delve into the tradeoffs between organizational efficiency and system suitability and emerge with practical insights on:
• Identifying major dimensions of scope change for GenAI use cases.
• Developing a standardized strategy for expanding your GenAI use case portfolio in alignment with Responsible AI principles.
• Understanding and adapting this strategy for emerging reporting requirements.
Check out the incredible speaker line-up to see who will be joining Sabrina.
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