Los Angeles A.I. Roadmap
Los Angeles AI Roadmap: city strategy for responsible AI adoption across departments, public services, and civic engagement.
Los Angeles AI Roadmap: city strategy for responsible AI adoption across departments, public services, and civic engagement.
Case study: geospatial AI applied to public health in Essex County for disease mapping, resource allocation, and health equity.
Research on using generative AI to correct vaccine misinformation through targeted, personalized message interventions.
Research on harnessing AI/ML to enhance public health surveillance: pathogen detection, outbreak forecasting, and data integration.
Overview of geospatial AI and its applications in GIS for public health mapping, environmental analysis, and decision support.
Government agency generative AI policy covering acceptable use, data handling, privacy protections, and human oversight requirements.
Perspective on applying machine learning in healthcare: cautions against shortcuts, emphasizes evidence, validation, and equity.
Framework for transforming public health practice with AI, covering core capabilities, governance, and equity-centered implementation.
Review of next-generation geospatial AI methods and applications in public health, environmental monitoring, and urban planning.
Tennessee AI Advisory Council action plan: recommendations for responsible AI adoption across state government and public services.
Analysis of the growing environmental impact of AI data centers' rising energy demands on climate and sustainability goals.
This webinar on using AI in health departments for chronic disease prevention, featuring real examples, ethical guidance, and tips to get started.
Explainer on why large language models hallucinate: mechanisms, causes, and implications for health information reliability.
Guidance on potential use of AI in disaster risk and emergency management for prediction, response coordination, and recovery.
Randomized controlled assessment of LLM reliability as a medical assistant for general public health questions and guidance.
State government AI Advisory Council final recommendations to the legislature on governance, ethics, and AI policy priorities.
FAQ companion to the Public AI Services Security Standard, addressing common questions on AI procurement and risk management.
Guidance on protecting scientific data integrity when using generative AI tools in research and public health contexts.
South Carolina state agencies AI strategy: coordinated approach to responsible AI adoption, governance, and workforce readiness.
Government standard for securing public-facing AI services: risk assessment, procurement controls, and security requirements.