AdvanceGov 2026 to focus on AI governance and public services

Summary

Dr. Lucy Andrews, a data governance strategist at the California Office of Data and Innovation, is set to speak at the AdvanceGov event in Sacramento on November 4, 2026, where she will emphasize the cautious approach needed for the government's use of generative artificial intelligence (AI). As part of a panel discussing AI's application in public services, she aims to delve into how government agencies can responsibly develop their internal capacities for technology while adhering to strict public sector standards of transparency, accountability, and trust. This focus on responsible AI governance aligns with broader efforts by government leaders to create toolkits and governance structures that address public concerns regarding generative AI.

Analysis

AdvanceGov: AdvanceGov is a conference organized by Global Government Forum focused on digital transformation in public services. It convenes senior government technology leaders, including chief information and chief technology officers, to discuss embedding innovative solutions, building cyber resilience, and training workforces. The 2026 edition takes place in Sacramento, California, with sessions on generative AI applications in government. Chris Given: Chris Given is the California state CIO and director of the California Department of Technology. He oversees state technology initiatives and has expressed support for cross-government learning on digital transformation models. He welcomed participants to the AdvanceGov conference as an opportunity for state and local leaders to share insights with global experts. Dr Lucy Andrews: Dr Lucy Andrews serves as data governance strategist at the California Office of Data and Innovation. She specializes in responsible AI use, with emphasis on statutory requirements for transparency, accountability, trust and safety, and building internal government capacity for technology governance. She is scheduled to speak at the AdvanceGov 2026 event on AI in public sector applications. AI Governance: Government leaders are prioritizing the development of internal toolkits, educational materials, and governance structures for data and artificial intelligence that align with public sector needs for transparency and public accountability. Public Sector AI: Public sector applications of generative AI are being shaped to differ from private sector uses due to requirements for openness, accountability, and addressing broad public concerns about the technology.

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