Building public trust in marginalized communities through culturally-aligned artificial intelligence

Misinformation about public health is rampant on social media. Yet getting to the heart of the issue often ignores people’s beliefs and cultural backgrounds. Could AI give marginalized communities a voice?

Presented by: Dalla Lana School of Public Health
Online events
Lectures & workshops
A digital wireframe representation of a human head in profile interacts with a network of glowing nodes and lines, symbolizing artificial intelligence and data processing against a futuristic blue-toned background.

Misinformation spread through social media has been responsible for an increasing mistrust of public health, particularly amplified during the COVID-19 pandemic. Existing analysis tools of social media and other online content rely on logic and science, often ignoring people’s beliefs, cultural backgrounds and feelings when it comes to understanding health information.

The fifth-annual Vohra Miller Lectures in Critical Public Health Issues in collaboration with the Institute for Pandemics aims to foster a dialogue on health equity issues, as it relates to culturally-aligned artificial intelligence (AI) to foster trust in health.

Panelists Ishtiaque Ahmed, Jude Kong, and Dan Lizotte will share learning outcomes and their perspectives to address topics posed by panelist and moderator, Kate Mulligan.

Panelists will explore some of the following issues:

  • Why marginalized population voices are not represented amongst current research technologies
  • Using AI to analyze online conversations to discern types of health information different demographics trust and share
  • Understanding how faith, culture, and emotion factor into people’s health activities

Have questions about this event?

Contact DLSPH Advancement Team at advancement.dlsph@utoronto.ca

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