• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

  • Articles
    • Public Policy
    • Privacy & Security
    • Human Rights
      • Ethics
      • JEDI (Justice, Equity, Diversity, Inclusion
    • Climate
    • Design
      • Emerging Technology
    • Application & Adoption
      • Health
      • Education
      • Government
        • Military
        • Public Works
      • Labour
    • Arts & Culture
      • Film & TV
      • Music
      • Pop Culture
      • Digital Art
  • Columns
    • AI Policy Corner
    • Recess
    • Tech Futures
  • The AI Ethics Brief
  • AI Literacy
    • Research Summaries
    • AI Ethics Living Dictionary
    • Learning Community
  • The State of AI Ethics Report
    • Volume 7 (November 2025)
    • Volume 6 (February 2022)
    • Volume 5 (July 2021)
    • Volume 4 (April 2021)
    • Volume 3 (Jan 2021)
    • Volume 2 (Oct 2020)
    • Volume 1 (June 2020)
  • About
    • Our Contributions Policy
    • Our Open Access Policy
    • Contact
    • Donate

Trust me!: How to use trust-by-design to build resilient tech in times of crisis

July 28, 2020

Get the paper in PDF formDownload

*NOTE: This article was first published July 19, 2020, on Westlaw Practitioner Insights. Republished with permission.

By Gabrielle Paris Gagnon, Esq., and Vanessa Henri, Esq., Fasken, and Abhishek Gupta, Montreal AI Ethics Institute

Abstract

Nations across the world have started to deploy their own contact-and proximity tracing apps that claim to be able to balance the privacy and security of users’ data while helping to combat the spread of COVID-19, but do users trust them? The efficacy of such applications depends, among other things, on high adoption and consistent use rates, but this will be made difficult if users do not trust the tracing apps. Trust is a defining factor in the adoption of emerging technologies, and tracing apps are not an exception. In this article, we argue that trust-based design is critical to the development of technologies and use of data during crisis such as the COVID-19 pandemic. Trust helps to maintain social cohesion by hindering misinformation and allowing for a collective response.


Get the paper in PDF formDownload
Want quick summaries of the latest research & reporting in AI ethics delivered to your inbox? Subscribe to the AI Ethics Brief. We publish bi-weekly.

Primary Sidebar

🔍 SEARCH

Spotlight

A rock embedded with intricate circuit board patterns, held delicately by pale hands drawn in a ghostly style. The contrast between the rough, metallic mineral and the sleek, artificial circuit board illustrates the relationship between raw natural resources and modern technological development. The hands evoke human involvement in the extraction and manufacturing processes.

Tech Futures: The Fossil Fuels Playbook for Big Tech: Part I

Close-up of a cat sleeping on a computer keyboard

Tech Futures: The threat of AI-generated code to the world’s digital infrastructure

The undying sun hangs in the sky, as people gather around signal towers, working through their digital devices.

Dreams and Realities in Modi’s AI Impact Summit

Illustration of a coral reef ecosystem

Tech Futures: Diversity of Thought and Experience: The UN’s Scientific Panel on AI

This image shows a large white, traditional, old building. The top half of the building represents the humanities (which is symbolised by the embedded text from classic literature which is faintly shown ontop the building). The bottom section of the building is embossed with mathematical formulas to represent the sciences. The middle layer of the image is heavily pixelated. On the steps at the front of the building there is a group of scholars, wearing formal suits and tie attire, who are standing around at the enternace talking and some of them are sitting on the steps. There are two stone, statute-like hands that are stretching the building apart from the left side. In the forefront of the image, there are 8 students - which can only be seen from the back. Their graduation gowns have bright blue hoods and they all look as though they are walking towards the old building which is in the background at a distance. There are a mix of students in the foreground.

Tech Futures: Co-opting Research and Education

related posts

  • The struggle for recognition in the age of facial recognition technology

    The struggle for recognition in the age of facial recognition technology

  • Anthropomorphism and the Social Robot

    Anthropomorphism and the Social Robot

  • Sex Trouble: Sex/Gender Slippage, Sex Confusion, and Sex Obsession in Machine Learning Using Electro...

    Sex Trouble: Sex/Gender Slippage, Sex Confusion, and Sex Obsession in Machine Learning Using Electro...

  • Equal Improvability: A New Fairness Notion Considering the Long-term Impact

    Equal Improvability: A New Fairness Notion Considering the Long-term Impact

  • Computer vision, surveillance, and social control

    Computer vision, surveillance, and social control

  • Intersectional Inquiry, on the Ground and in the Algorithm

    Intersectional Inquiry, on the Ground and in the Algorithm

  • Unpacking Human-AI interaction (HAII) in safety-critical industries

    Unpacking Human-AI interaction (HAII) in safety-critical industries

  • Canada’s Minister of AI and Digital Innovation is a Historic First. Here’s What We Recommend.

    Canada’s Minister of AI and Digital Innovation is a Historic First. Here’s What We Recommend.

  • Bias Propagation in Federated Learning

    Bias Propagation in Federated Learning

  • Longitudinal Fairness with Censorship

    Longitudinal Fairness with Censorship

Partners

  •  
    U.S. Artificial Intelligence Safety Institute Consortium (AISIC) at NIST

  • Partnership on AI

  • The LF AI & Data Foundation

  • The AI Alliance

Footer


Articles

Columns

AI Literacy

The State of AI Ethics Report


 

About Us


Founded in 2018, the Montreal AI Ethics Institute (MAIEI) is an international non-profit organization equipping citizens concerned about artificial intelligence and its impact on society to take action.

Contact

Donate


  • © 2025 MONTREAL AI ETHICS INSTITUTE.
  • This work is licensed under a Creative Commons Attribution 4.0 International License.
  • Learn more about our open access policy here.
  • Creative Commons License

    Save hours of work and stay on top of Responsible AI research and reporting with our bi-weekly email newsletter.