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Incident 357: GPT-2 Able to Recite PII in Training Data

Description: OpenAI's GPT-2 reportedly memorized and could regurgitate verbatim instances of training data, including personally identifiable information such as names, emails, twitter handles, and phone numbers.

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Alleged: OpenAI developed and deployed an AI system, which harmed OpenAI and people having personal data in GPT-2's training data.

Incident Stats

Incident ID
357
Report Count
3
Incident Date
2019-02-14
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
 

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 Occurrence+1
Extracting Training Data from Large Language Models
What happens when your massive text-generating neural net starts spitting out people's phone numbers? If you're OpenAI, you create a filter
Extracting Training Data from Large Language Models

Extracting Training Data from Large Language Models

arxiv.org

Does GPT-2 Know Your Phone Number?

Does GPT-2 Know Your Phone Number?

bair.berkeley.edu

What happens when your massive text-generating neural net starts spitting out people's phone numbers? If you're OpenAI, you create a filter

What happens when your massive text-generating neural net starts spitting out people's phone numbers? If you're OpenAI, you create a filter

theregister.com

Extracting Training Data from Large Language Models
arxiv.org · 2020

It has become common to publish large (billion parameter) language models that have been trained on private datasets. This paper demonstrates that in such settings, an adversary can perform a training data extraction attack to recover indiv…

Does GPT-2 Know Your Phone Number?
bair.berkeley.edu · 2020

Most likely not.

Yet, OpenAI’s GPT-2 language model does know how to reach a certain Peter W--- (name redacted for privacy). When prompted with a short snippet of Internet text, the model accurately generates Peter’s contact information, in…

What happens when your massive text-generating neural net starts spitting out people's phone numbers? If you're OpenAI, you create a filter
theregister.com · 2021

Special report OpenAI is building a content filter to prevent GPT-3, its latest and largest text-generating neural network, from inadvertently revealing people's personal information as it prepares to commercialize the software through an A…

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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