Arizona adapts new AI policy framework

The state of Arizona continues to refine and expand its generative artificial intelligence (GenAI) policies as it embraces AI technology across various government functions.

Policy evolution and oversight: Arizona has made significant updates to its statewide GenAI policy framework, initially established in March 2023, to address the rapidly changing technological landscape.

• The state’s revised policies focus on three key areas: the role of the State Data and Analytics Office, enhanced data governance, and detailed guidelines for agency and employee responsibilities
• A newly formed AI Steering Committee, announced by Gov. Katie Hobbs, will guide future policy development and identify potential AI applications
• The Arizona Department of Administration (ADOA) developed these updates through consultation with agency CIOs, ensuring broad stakeholder input

Implementation and testing: The state has taken a methodical approach to incorporating GenAI into government operations through controlled pilots and sandbox environments.

• A four-week pilot involving Gemini for Google Workspace demonstrated a productivity increase of 2.5 hours per week across 203 users from nine agencies
• Three vendors have collaborated with the Strategic Enterprise Technology (ASET) Office to create safe testing environments for agencies to experiment with GenAI applications
• Training and guidance materials have been made available to agencies to ensure responsible AI implementation

Practical applications: Arizona has already begun deploying GenAI solutions across various government services, with a particular focus on healthcare and customer service.

• The Arizona Health Care Cost Containment System implemented a GenAI-powered chatbot in 2023 to improve customer support
• GenAI tools are being utilized for cybersecurity and fraud prevention in healthcare billing
• The state plans to expand its use of GenAI for fraud detection and prevention in billing practices

Future implications: As Arizona continues to lead in government AI adoption, its evolving policy framework could serve as a model for other states seeking to implement AI technologies responsibly and effectively. The creation of dedicated oversight bodies and emphasis on data governance suggests a commitment to balancing innovation with security and accountability.