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Incident 458: Robot Destroyed while Hitchhiking through the United States

Description: A non-actuated conversational robot that previously asked people to move it across Canada was destroyed shortly after beginning its attempt to replicate the journey across the United States.

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Alleged: Frauke Zeller and David Harris developed and deployed an AI system, which harmed Frauke Zeller and David Harris.

Incident Stats

Incident ID
458
Report Count
1
Incident Date
2015-08-01
Editors
Sean McGregor
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
 

5.1. Overreliance and unsafe use

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
 

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
 

Intentional

Incident Reports

Reports Timeline

Incident OccurrenceHitchBOT, the hitchhiking robot, gets beheaded in Philadelphia
HitchBOT, the hitchhiking robot, gets beheaded in Philadelphia

HitchBOT, the hitchhiking robot, gets beheaded in Philadelphia

cnn.com

HitchBOT, the hitchhiking robot, gets beheaded in Philadelphia
cnn.com · 2015

The goal was for the robot to make it all the way across the United States

This is why we can’t have nice hitchhiking robots.

HitchBOT, the cheerful hitchhiking robot that had made cross-country trips across Canada, the Netherlands and Germ…

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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