• 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: 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

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

related posts

  • The Ethics of AI in Finance

    The Ethics of AI in Finance

  • 5 Questions & Answers from StradigiAI's Twitter Roundtable

    5 Questions & Answers from StradigiAI's Twitter Roundtable

  • How Canada can be a global leader in ethical AI

    How Canada can be a global leader in ethical AI

  • Artificial Intelligence as a Force for Good

    Artificial Intelligence as a Force for Good

  • Response to Scotland's AI Strategy

    Response to Scotland's AI Strategy

  • Report on the Santa Clara Principles ​for Content Moderation

    Report on the Santa Clara Principles ​for Content Moderation

  • A call for a critical look at the metrics for success in the evaluation of AI

    A call for a critical look at the metrics for success in the evaluation of AI

  • AI For Good Global Summit Interview (ITU/UN) 2018

    AI For Good Global Summit Interview (ITU/UN) 2018

  • The Social Contract for AI

    The Social Contract for AI

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

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

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.