Incident 173: AI Tools Failed to Sufficiently Predict COVID Patients, Some Potentially Harmful

Description: AI tools failed to sufficiently predict COVID patients, some potentially harmful.

Tools

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Entities

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Alleged: unknown developed and deployed an AI system, which harmed Doctors and COVID patients.

Incident Stats

Incident ID

173

Report Count

Incident Date

2021-07-30

Editors

Sean McGregor, Khoa Lam

Applied Taxonomies

CSETv1_Annotator-3, CSETv1_Annotator-1

CSETv1_Annotator-1 Taxonomy Classifications

Taxonomy Details

Incident Number

173

AI Tangible Harm Level Notes

3.3 - The adverse outcome of the incident is more closely related to the datasets being biased and incomplete rather than the algorithms themselves

Special Interest Intangible Harm

Notes (AI special interest intangible harm)

5.3 - The adverse outcome of the incident is more closely related to the datasets being biased and incomplete rather than the algorithms themselves

CSETv1_Annotator-3 Taxonomy Classifications

Taxonomy Details

Incident Number

173

Incident Reports

Reports Timeline

Hundreds of AI tools have been built to catch covid. None of them helped.

technologyreview.com

technologyreview.com · 2021

When covid-19 struck Europe in March 2020, hospitals were plunged into a health crisis that was still badly understood. “Doctors really didn’t have a clue how to manage these patients,” says Laure Wynants, an epidemiologist at Maastricht Un…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.