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Incident 555: OpenAI's Training Data for LLMs Allegedly Comprised of Copyrighted Books

Description: Two authors alleged in a class action lawsuit OpenAI infringed authors' copyrights by incorporating illegal "shadow libraries" offering copyrighted books without permission in the training data of its generative LLMs, such as ChatGPT.
Editor Notes: Clarified title.

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Alleged: OpenAI developed and deployed an AI system, which harmed Paul Tremblay , Mona Awad and authors of copyrighted works.

Incident Stats

Incident ID
555
Report Count
1
Incident Date
2018-06-11
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
 

6.3. Economic and cultural devaluation of human effort

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. Socioeconomic & Environmental Harms

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
 

Pre-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 OccurrenceLawsuit says OpenAI violated US authors' copyrights
Lawsuit says OpenAI violated US authors' copyrights

Lawsuit says OpenAI violated US authors' copyrights

itnews.com.au

Lawsuit says OpenAI violated US authors' copyrights
itnews.com.au · 2023

Two US authors sued OpenAI in San Francisco federal court, claiming in a proposed class action that the company misused their works to "train" its popular generative artificial-intelligence system ChatGPT.

Massachusetts-based writers Paul T…

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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