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Incident 192: Three Make-Up Artists Lost Jobs Following Black-Box Automated Decision by HireVue

Description: Three make-up artists lost their positions following an algorithmically-assessed video interview by HireVue who reportedly failed to provide adequate explanation of the findings.

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Alleged: HireVue developed an AI system deployed by Estée Lauder, which harmed pseudonymous Estée Lauder's former staff.

Incident Stats

Incident ID
192
Report Count
2
Incident Date
2022-03-17
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
GMF, MIT

GMF Taxonomy Classifications

Taxonomy Details

Known AI Goal Snippets

One or more snippets that justify the classification.
 

(Snippet Text: The women had been told to reapply for their positions, but were then informed they were being made redundant in part on the basis of an automated judgment by a computer., Related Classifications: Automatic Skill Assessment)

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

5.2. Loss of human agency and autonomy

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Human-Computer Interaction

Entity

Which, if any, entity is presented as the main cause of the risk
 

AI

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

+1
Payout for Estée Lauder women ‘sacked by algorithm’
Estée Lauder settles out of court with staff who were ‘sacked by algorithm’
Payout for Estée Lauder women ‘sacked by algorithm’

Payout for Estée Lauder women ‘sacked by algorithm’

thetimes.co.uk

Estée Lauder settles out of court with staff who were ‘sacked by algorithm’

Estée Lauder settles out of court with staff who were ‘sacked by algorithm’

cosmeticsbusiness.com

Payout for Estée Lauder women ‘sacked by algorithm’
thetimes.co.uk · 2022

Three make-up artists who lost their jobs after being asked to take a video interview that was assessed by a computer have won a settlement from the cosmetics company Estée Lauder.

The women had been told to reapply for their positions, but…

Estée Lauder settles out of court with staff who were ‘sacked by algorithm’
cosmeticsbusiness.com · 2022

Three former MAC make-up artists have won their legal challenge against the company’s owner after they were dismissed by the brand due to a failed video interview that was assessed by an algorithm.

Cosmetics giant Estée Lauder Companies (EL…

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.
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