AI governance on phiz

The Future of Public Health: AI, Automation & What's Next

Tue, 15 Sep 2026 00:00:00 -0400

Join Ontario public health leaders in Guelph on November 20, 2026, for a first annual symposium exploring AI, automation, research, and public health practice.

Equity in AI for Public Health: Part 1 – Why Fairness Must Come First

Wed, 05 Aug 2026 00:00:00 -0400

Plain-language takeaway: AI can assist public health teams in discovering patterns within complex information. Equity makes sure these patterns are developed, understood, and used in ways that are fair, safe, and helpful.

Public health teams often need to understand how different aspects of people’s lives are interconnected. Mental health, family support, school experiences, access to services, discrimination, and other factors rarely occur in isolation. However, these connections can be difficult to identify when relevant information is dispersed across numerous survey questions.

Artificial intelligence, often referred to as AI, can be used to solve those problems. This involves computer-based techniques that can detect patterns, organize information, or make predictions. In the field of public health, such tools enable teams to examine large datasets more efficiently.

Yet the fact that a pattern has been found does not mean that it has been understood. A computer cannot judge whether the pattern shows an unmet need, an unfair social issue, a decision made during the design of the survey, or even a data error. Similarly, it cannot evaluate whether presenting the pattern will be beneficial or harmful to a community.

This is why Equity in AI needs to guide the work from the start.

At Wellington-Dufferin-Guelph Public Health (WDGPH), the WHY Survey Personas project is a real-world example. The project searches for patterns in the Wellbeing and Health of Youth (WHY) Survey to help staff see how youth needs, strengths, risks, and supports overlap.

The survey is a joint effort involving WDGPH, the Upper Grand District School Board, and the Wellington Catholic District School Board; for the 2025–26 survey cycle, WDGPH also collaborated with Conseil scolaire catholique MonAvenir, a French-language Catholic school board. It gathers information from students in Grades 4 to 12, parents or guardians, and school staff to help with school and community planning. The student portion of the survey lasts approximately 30 minutes and is available in separate versions for Junior (Grades 4 to 6) and Intermediate/Senior (Grades 7 to 12) students. The survey includes topics such as mental health, relationships, school climate, physical activity, substance use, and equity.

Year 1 of an AI Governance Program at a Medium-Sized Local Public Health Unit

Sun, 26 Jul 2026 00:00:00 -0400

AI governance has to work within the organization that actually exists. Wellington-Dufferin-Guelph Public Health (WDGPH) is a medium-sized local public health unit in Ontario, with approximately 200 staff serving about 350,000 people. Most of our staff work in public health nursing, inspection, health promotion, and other program areas.

We began formalizing governance while staff were already experimenting with AI and several projects were moving into production. Our first year focused on making governance workable in this environment: setting strategic direction before adding rules, extending processes the organization already trusted, and using an established framework while keeping our own values and obligations at the centre.

This article is adapted from a presentation delivered on July 21st in Montreal at the 2026 AI4PH Summer Institute.