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This chapter proposes design frameworks for artificial intelligence (AI) in public health. It introduces a general process model, health outcomes, systemic factors, and both realized and unrealized needs. The model guides practitioners in employing AI to either empower existing public health interventions (primary and secondary prevention) or to develop novel, AI-driven approaches. AI frameworks should integrate ethical considerations and regulatory compliance throughout the entire development lifecycle, from initial design principles (encoding justices) to final deployment. Furthermore, the chapter presents two complementary design models: a concept-based model, which aligns AI capabilities with human cognitive functions, and a technology-based model, which leverages unique “superhuman” and “non-human” strengths of AI.

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Design Models for AI in Public Health

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  • 发表日期：

    2026年

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  • Min Wu

摘要

This chapter proposes design frameworks for artificial intelligence (AI) in public health. It introduces a general process model, health outcomes, systemic factors, and both realized and unrealized needs. The model guides practitioners in employing AI to either empower existing public health interventions (primary and secondary prevention) or to develop novel, AI-driven approaches. AI frameworks should integrate ethical considerations and regulatory compliance throughout the entire development lifecycle, from initial design principles (encoding justices) to final deployment. Furthermore, the chapter presents two complementary design models: a concept-based model, which aligns AI capabilities with human cognitive functions, and a technology-based model, which leverages unique “superhuman” and “non-human” strengths of AI.