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Incident 521: Images Captured by iRobot's Roomba Containing Device Users Posted on Private Online Groups

Description: Images which were collected in an R&D project with user consent by iRobot's Roomba J7 robot vacuum showing device users sometimes in private settings were shared on closed social media groups by Venezuelan gig workers who labeled items in the images, breaching data agreements.

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Alleged: iRobot developed and deployed an AI system, which harmed iRobot , Roomba J7 device owners in project IO and Scale AI.

Incident Stats

Incident ID
521
Report Count
1
Incident Date
2020-06-10
Editors
Khoa Lam
Applied Taxonomies
MIT

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
 

2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information

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. Privacy & Security

Entity

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

Human

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

Incident OccurrenceA Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?
A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?

A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?

technologyreview.com

A Roomba recorded a woman on the toilet. How did screenshots end up on Facebook?
technologyreview.com · 2022

In the fall of 2020, gig workers in Venezuela posted a series of images to online forums where they gathered to talk shop. The photos were mundane, if sometimes intimate, household scenes captured from low angles—including some you really w…

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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