Policy on acceptable and responsible use of AI tools by employees: principles, prohibited uses, and oversight requirements.
Government standard for securing public-facing AI services: risk assessment, procurement controls, and security requirements.
Los Angeles AI Roadmap: city strategy for responsible AI adoption across departments, public services, and civic engagement.
State government AI Advisory Council final recommendations to the legislature on governance, ethics, and AI policy priorities.
Tennessee AI Advisory Council action plan: recommendations for responsible AI adoption across state government and public services.
FAQ companion to the Public AI Services Security Standard, addressing common questions on AI procurement and risk management.
South Carolina state agencies AI strategy: coordinated approach to responsible AI adoption, governance, and workforce readiness.
Statewide generative AI policy establishing governance, acceptable use, and accountability standards for all state agencies.
Michigan DTMB guidelines for ethical AI adoption: data classification, human-in-the-loop oversight, and equitable access for state agencies.
Agency policy on responsible use of AI tools: acceptable use cases, data privacy, human oversight, and documentation requirements.
Washington State WaTech AI policy (Dec. 2025): agencies must apply state AI principles, assess high-risk systems, and protect non-public data.
Washington County, OR AI acceptable use policy: guidelines for responsible generative AI use, data protection, and human review of AI outputs.
Guam OTECH AI use policy (Jan. 2025): responsible AI guidelines for government agencies—data privacy, human oversight, and prohibited uses.
San José city AI use policy: transparency, privacy, bias prevention, and staff accountability. Aligned with GovAI Coalition principles.
Kentucky COT AI policy (Oct. 2025): acceptable generative AI use for state employees, data protection, and mandatory agency training.
California HHS IT & Data Strategic Plan: AI integration, data governance, and digital transformation goals through 2028.
This podcast highlights ongoing federal discussions around regulating AI in healthcare and public health.
Dr. David Newman-Toker of Johns Hopkins discusses talks with House members on AI bias and privacy concerns.
State enterprise responsible AI use policy: principles of accountability, transparency, fairness, and privacy for agency AI tools.
State policy governing the enterprise use and development of generative AI tools across government agencies.