AI Governance and Use Cases - House Technology, Economic Development & Veterans Committee (January 13, 2026)

Summary

A slide presentation to the House Technology, Economic Development & Veterans Committee dated January 13, 2026, with introductions of Gretchen Peri, Katy Ruckle and James Galvin. The agenda covers the balancing act, emerging digital risks, effective governance, AI use cases, and question and answer. Slides list emerging risks such as algorithmic bias and discrimination and data privacy and security risks, and set out Washington AI Principles. A slide on the Statewide AI Policy, adopted December 11, 2025, lists policy sections including Responsible AI, AI Inventory, Risk Assessments and Training, and example AI use cases include emergency response (flood of 2025).

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“AI Governance and Use Cases - House Technology, Economic Development & Veterans Committee (January 13, 2026).” Archived at Pandemic Darlings, https://pandemicdarlings.com/source-documents/2026-01-13-a33627-d290342-washington-technology-solutions-2a60782e6a/, SHA-256 9de4f8fcedb4c54fe9ae7e0e5ee9371d5b4797b2da5baed0ae98bdfc593c0077.

Full text

House Technology,
Economic
Development &
Veterans Committee
January 13, 2026
 Introductions
Gretchen Peri   Katy Ruckle   James Galvin
State Chief     State Chief   Emerging
Technology      Privacy       Technology
Officer         Officer       Manager
         • Welcome and Overview
         • The Balancing Act
         • Emerging Digital Risks
AGENDA
         • Effective Governance
         • AI Use Cases
         • Question & Answer


                                    3
                     Balancing Innovation and Trust

• Economic growth and productivity cannot be at the
  expense of public trust
• Focus on augmenting human intelligence and decision-
  making
• Treat trust as a design constraint, not a blocker
• Be transparent about intent, limits, and uncertainty
• Create accountability that scales with risk and impact
• Develop robust foundation of principles and practices to
  guide development of AI

                                                             4
Leveraging AI for Efficiency and Customer Engagement


           Efficiency                        Engagement
 • Automation of repetitive tasks    • Personalized, relevant information
 • Data analysis & decision-making   • Improved customer service
 • Process optimization              • Proactive outreach
 • Anomaly detection                 • Automated tasks and notifications
 • Predictive analysis               • Enhanced accessibility and
 • Quality control                     inclusivity
 • Energy management                 • Streamlined processes


                                                                            5
Emerging Risks

• Algorithmic bias and discrimination
• Lack of transparency and
  explainability
• Over-reliance and automation bias
• Data privacy and security risks
• Workforce resistance or fear
• Ethical and public trust issues



                                    6
Effective Governance
• AI Principles
• AI Policy – Security and Privacy
  Review and Risk Assessments
• AI Community of Practice
   • Risk
   • Policy
   • Use case
   • Local government

                                     7
Washington AI Principles
 • Safe, secure, and resilient
 • Valid and reliable
 • Fairness, inclusion, and non-discrimination
 • Privacy and data protection
 • Accountability and responsibility
 • Transparency and auditability
 • Explainable and interpretable
 • Public purpose and social benefit


                                                 8
                                  Statewide AI Policy
Adopted December 11, 2025
                                                                     Artificial intelligence
#   Policy Section Content            #   Policy Section Content
1   Responsible AI                    8   Monitoring
2   AI Contact                        9   Training
3   AI Inventory                      10 Prohibition
4   AI Planning – identify business   11 DSA Requirements/Contract
    outcomes                             Terms
5   AI Governance                     12 Protection of information
6   Risk Assessments                  13 Transparency                           Generative AI
7   Accuracy                          14 High-Risk GenAI Use
                                      15 Collective Bargaining
                                         Agreements


                                                                                                9
Common AI patterns across our state

                                                Artificial intelligence




Visual & spatial   Data and   Conversational   Productivity and       Workflow
                   insights     translation               Generative automation
                                                                     AI
  recognition                                     assistants




                                                                              10
Example AI use cases




     Strengthening     Enhancing the resident   Supporting staff in
  emergency response        experience              their work
    (flood of 2025)        (DOL’s Dolly)        (contract assistant)




                                                                       11
Question
& Answer



           12
Thank You

            13

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