Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
110 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Trust and Transparency in Contact Tracing Applications (2006.11356v1)

Published 19 Jun 2020 in cs.CY and cs.CR

Abstract: The global outbreak of COVID-19 has led to focus on efforts to manage and mitigate the continued spread of the disease. One of these efforts include the use of contact tracing to identify people who are at-risk of developing the disease through exposure to an infected person. Historically, contact tracing has been primarily manual but given the exponential spread of the virus that causes COVID-19, there has been significant interest in the development and use of digital contact tracing solutions to supplement the work of human contact tracers. The collection and use of sensitive personal details by these applications has led to a number of concerns by the stakeholder groups with a vested interest in these solutions. We explore digital contact tracing solutions in detail and propose the use of a transparent reporting mechanism, FactSheets, to provide transparency of and support trust in these applications. We also provide an example FactSheet template with questions that are specific to the contact tracing application domain.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Stacy Hobson (3 papers)
  2. Michael Hind (25 papers)
  3. Aleksandra Mojsilovic (20 papers)
  4. Kush R. Varshney (121 papers)
Citations (8)

Summary

We haven't generated a summary for this paper yet.