The Sector Series – Game-Changing AI Technology for Governments: Responsible AI

Tuesday, Oct. 6 | 9:30 a.m. ET | 2:30 p.m. GMT

About the webinar

As governments accelerate AI adoption, one critical challenge persists – ensuring that these technologies are used ethically. Responsible AI provides a framework to ensure ethical, fair, transparent and accountable systems that mitigate bias and safeguard privacy in every stage of the AI life cycle. It’s not just a concept – it’s a practical approach to delivering accountable solutions that serve the public good.

Join us for a clear introduction to responsible AI and its role in government transformation. No matter what your role is in the public sector, this session will help you navigate the ethical and technical considerations that ensure AI works for everyone.

Don’t miss the chance to learn how responsible AI can strengthen trust and deliver real-world impact.

Key takeaways:

Learn what responsible AI means and why it matters for public sector innovation.
Understand key principles and how to apply them.
Review examples of responsible AI in action across government programs.

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About the experts

Jennifer Robinson

Global Strategic Advisor, Public Sector, SAS

While working to help governments maximize the use of their data through data integration, data management and analytics, Jennifer Robinson’s career in software development is complemented by the opportunity to serve as a local elected leader for the last 25 years. Robinson co-wrote the book A Practical Guide to Analytics for Government and is featured in the book Smart Cities, Smart Future. In addition to writing articles and blogs about data-driven governing, she speaks with government leaders about emerging technologies and how to adopt them strategically.

Vrushali Sawant

Data Scientist, SAS

Vrushali Sawant is a data scientist with SAS’ Data Ethics Practice (DEP), steering the practical implementation of fairness and trustworthy principles into the SAS platform. She regularly writes and speaks about practical strategies for implementing trustworthy AI systems. With a background in analytical consulting, data management and data visualization, she has been helping customers make data-driven decisions for a decade. She holds a master's in data science and a master's in business administration.

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