The AI Disclosure Trap in Research: Moving Beyond Checklists to Accountability
Published December 25, 2025 | 6-minute read The adoption of generative AI tools has pushed major medical and public health journals to rapidly update their editorial policies. The dominant direction is mandatory transparency, but it has drifted into performative detail. For example, JAMA begins with sensible basics like naming the tool and version, then escalates […]
What the 2025 HHS AI Strategy Means for Public Health
The HHS AI Strategy arrives at a moment when public health teams are being asked to make faster decisions with clearer evidence and fewer resources. Artificial intelligence is not a magic fix, but HHS’s new framework signals something more important: a stable federal foundation for responsible AI that can actually strengthen day-to-day public health work. […]
P2C in Public Health: When an Epidemiologist Stops Fighting Code and Starts Asking Better Questions
A few years into practice, an epidemiologist I’ll call Elena found herself living a familiar contradiction. She had strong ideas, good data, and a clear sense of what “better” analysis could look like. She also had a calendar full of meetings, stakeholders waiting for answers, and a laptop full of half-finished scripts. Elena did what […]
AI Model Cards: Building Trust in Public Health AI Systems
As artificial intelligence becomes increasingly woven into the fabric of public health, the need for transparency and accountability in AI systems is more urgent than ever. We are already witnessing the impact of AI in public health surveillance, predictive analytics for outbreaks, resource allocation modeling, and even behavioral health interventions. But behind each algorithm lies […]
Why Public Health Practitioners Must Lead in the AI Era: Equity, Sustainability, and Literacy
Why Public Health Practitioners Could Lead the AI Era Artificial intelligence is rapidly emerging as one of the most transformative forces in global health. Its potential to predict outbreaks, streamline health systems, and provide new insights into disease prevention is immense. Yet, the path forward is still being shaped. AI is not a ready-made […]
Review: Artificial Intelligence for Modelling Infectious Disease Epidemics (Kraemer et al., 2025)
Kraemer and colleagues offer a thoughtful, forward-looking tour of what AI can contribute to infectious-disease science—and, just as importantly, where the field needs guardrails. The article frames AI as a companion to epidemiology rather than a replacement, surveying methods across machine learning, computational statistics, information retrieval, and data science to help answer core questions in […]
When AI Adds Work, Not Value: Cracking the Productivity Paradox
Introduction The story of artificial intelligence in the workplace was supposed to be a tale of instant efficiency: algorithms drafting reports in seconds, chatbots fielding every routine request, and employees finally free to focus on creative, high-value work. But when researchers recently asked 2,500 professionals how that promise was playing out, 77 percent said […]
Large Language Models: From Concept to Public-Health Workhorse
AIPublicHealthupdate.com — July 9, 2025 Why now?Six months ago, most public-health teams were still “experimenting” with ChatGPT. Since then, large language models (LLMs) have jumped from pilot projects to production systems that forecast outbreaks, lighten regulatory workloads, and translate guidance for multilingual communities. Below are four fresh, freely accessible examples, followed by the guardrails every […]
Bringing AI into the Public Health Classroom: A Practical Guide for Educators
As artificial intelligence (AI) continues to transform research and practice across disciplines, public health education is at a critical juncture. Many educators at the Master’s and PhD levels remain hesitant or unfamiliar with integrating large language models (LLMs) like ChatGPT, Co-pilot, Claude, Grok, Gemini and may others into their teaching. Yet, these tools offer practical, […]
Prompt Engineering: A Key AI Literacy Skill for Public Health
Introduction As artificial intelligence becomes more integrated into public health practice, understanding how to effectively interact with AI systems is no longer optional—it’s essential. One of the most practical and accessible skills in this space is prompt engineering, the art and science of crafting inputs that produce accurate, relevant, and actionable outputs from AI models […]