MIT AI Risk Repository · Risk Sub-Category · 27.01.01

Insult

Category: Typical safety scenarios

Open the MIT Risk Navigator All entries from Sun2023

Description

"Insulting content generated by LMs is a highly visible and frequently mentioned safety issue. Mostly, it is unfriendly, disrespectful, or ridiculous content that makes users uncomfortable and drives them away. It is extremely hazardous and could have negative social consequences."

From Safety Assessment of Chinese Large Language Models (Sun2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: 1. Discrimination & Toxicity
Subdomain: 1.2 Exposure to toxic content
Causal entity: AI
Intent: Other
Timing: Post-deployment

Subdomain definition: AI exposing users to harmful, abusive, unsafe or inappropriate content. May involve AI creating, describing, providing advice, or encouraging action. Examples of toxic content include hate-speech, violence, extremism, illegal acts, child sexual abuse material, as well as content that violates community norms such as profanity, inflammatory political speech, or pornography.

Real-world incidents in this subdomain

Browse all incidents in this subdomain

How other frameworks describe this risk

Harmful Content
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Toxicity
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Toxic Training Data
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Not-Suitable-for-Work (NSFW) Prompts
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024)
Toxicity and Abusive Content
Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)
Controversial Opinions
Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)
Violation of social norms
The Ethics of Advanced AI Assistants (Gabriel2024)
Violent Crimes
AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)

Other entries from Sun2023

Typical safety scenarios Risk Category
Unfairness and discrinimation Risk Sub-Category · 1.1
Crimes and Illegal Activities Risk Sub-Category · 1.2
Crimes and Illegal Activities Additional evidence
Sensitive Topics Risk Sub-Category · 1.2
Physical Harm Risk Sub-Category · 3.1
Physical Harm Additional evidence
Mental Health Risk Sub-Category · 3.1
Mental Health Additional evidence
Privacy and Property Risk Sub-Category · 2.1
Privacy and Property Additional evidence
Ethics and Morality Risk Sub-Category · 7.3