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Incident 402: Players Manipulated GPT-3-Powered Game to Generate Sexually Explicit Material Involving Children

Description: Latitude's GPT-3-powered game AI Dungeon was reportedly abused by some players who manipulated its AI to generate sexually explicit stories involving children.

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Alleged: OpenAI developed an AI system deployed by , which harmed Latitude.

Incident Stats

Incident ID
402
Report Count
1
Incident Date
2021-04-01
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
 

1.2. Exposure to toxic content

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. Discrimination and Toxicity

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

Incident OccurrenceIt Began as an AI-Fueled Dungeon Game. It Got Much Darker
It Began as an AI-Fueled Dungeon Game. It Got Much Darker

It Began as an AI-Fueled Dungeon Game. It Got Much Darker

wired.com

It Began as an AI-Fueled Dungeon Game. It Got Much Darker
wired.com · 2021

In December 2019, Utah startup Latitude launched a pioneering online game called AI Dungeon that demonstrated a new form of human-machine collaboration. The company used text-generation technology from artificial intelligence company OpenAI…

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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