• Skip to main content
  • Skip to primary sidebar
  • Skip to footer
  • Core Principles of Responsible AI
    • Accountability
    • Fairness
    • Privacy
    • Safety and Security
    • Sustainability
    • Transparency
  • Special Topics
    • AI in Industry
    • Ethical Implications
    • Human-Centered Design
    • Regulatory Landscape
    • Technical Methods
  • Living Dictionary
  • State of AI Ethics
  • AI Ethics Brief
  • 🇫🇷
Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

Participatory Design to build better contact- and proximity-tracing apps

June 4, 2020

Full paper in PDF formDownload

Below is the abstract from the full paper, authored by Abhishek Gupta and Tania De Gasperis. (equal contributions from each author)

Abstract

With the push for contact- and proximity-tracing solutions as a means to manage the spread of the pandemic, there is a distrust between the citizens and authorities that are deploying these solutions. The efficacy of the solutions relies on meeting a minimum uptake threshold which is hitting a barrier because of a lack of trust and transparency in how these solutions are being developed.

We propose participatory design as a mechanism to evoke trust and explore how it might be applied to co-create technological solutions that not only meet the needs of the users better but also expand their reach to underserved and high-risk communities. We also highlight the role of the bazaar model of development and complement that with quantitative and qualitative metrics for evaluating the solutions and convincing policymakers and other stakeholders in the value of this approach with empirical evidence.

Keywords: participatory design, contact tracing, proximity tracing, trust, transparency

Full 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

AI Policy Corner: Japan’s AI Promotion Act

AI Policy Corner: Texas and New York: Comparing U.S. State-Level AI Laws

What is Sovereign Artificial Intelligence?

AI Policy Corner: The Kenya National AI Strategy

AI Policy Corner: New York City Local Law 144

related posts

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

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

  • On the Construction of Artificial Moral Agents Agents

    On the Construction of Artificial Moral Agents Agents

  • Abhishek Gupta on AI Ethics at the HBS Tech Conference (Keynote Summary)

    Abhishek Gupta on AI Ethics at the HBS Tech Conference (Keynote Summary)

  • Consequentialism and Machine Ethics - Towards a Foundational Machine Ethic to Ensure the Ethical Con...

    Consequentialism and Machine Ethics - Towards a Foundational Machine Ethic to Ensure the Ethical Con...

  • Why the contemporary view of the relationship between AI's moral status and rights is wrong

    Why the contemporary view of the relationship between AI's moral status and rights is wrong

  • Montreal AI Symposium Presentation at Polytechnique

    Montreal AI Symposium Presentation at Polytechnique

  • Meet the inaugural cohort of the MAIEI Summer Research Internship!

    Meet the inaugural cohort of the MAIEI Summer Research Internship!

  • Response to Mila’s Proposal for a Contact Tracing App

    Response to Mila’s Proposal for a Contact Tracing App

  • Report on the Santa Clara Principles ​for Content Moderation

    Report on the Santa Clara Principles ​for Content Moderation

  • Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deplo...

    Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deplo...

Partners

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

  • Partnership on AI

  • The LF AI & Data Foundation

  • The AI Alliance

Footer

Categories


• Blog
• Research Summaries
• Columns
• Core Principles of Responsible AI
• Special Topics

Signature Content


• The State Of AI Ethics

• The Living Dictionary

• The AI Ethics Brief

Learn More


• About

• Open Access Policy

• Contributions Policy

• Editorial Stance on AI Tools

• Press

• Donate

• Contact

The AI Ethics Brief (bi-weekly newsletter)

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.


Archive

  • © MONTREAL AI ETHICS INSTITUTE. All rights reserved 2024.
  • 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.