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MIT AI Risk Repository · Risk Category · 18.02.00

Misinformation Harms

Open the MIT Risk Navigator All entries from Weidinger2023

Description

"AI systems generating and facilitating the spread of inaccurate or misleading information that causes people to develop false beliefs"

From Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: 3. Misinformation
Subdomain: 3.0
Causal entity: AI
Intent: Other
Timing: Post-deployment

How other frameworks describe this risk

Historical revisionism
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)
Misinformation risks
The Ethics of Advanced AI Assistants (Gabriel2024)
Misinformation Harms
Ethical and social risks of harm from language models (Weidinger2021)
Risk area 3: Misinformation Harms
Taxonomy of Risks posed by Language Models (Weidinger2022)

Other entries from Weidinger2023

Representation & Toxicity Harms Risk Category · 1.0
Unfair representation Risk Sub-Category · 1.1
Unfair capability distribution Risk Sub-Category · 1.3
Toxic content Risk Sub-Category · 1.2
Propagating misconceptions/ false beliefs Risk Sub-Category · 3.1
Erosion of trust in public information Risk Sub-Category · 1.1
Pollution of information ecosystem Risk Sub-Category · 3.2
Information & Safety Harms Risk Category · 2.1
Privacy infringement Risk Sub-Category · 2.1
Dissemination of dangerous information Risk Sub-Category · 2.1
Malicious Use Risk Category · 4.0
Influence operations Risk Sub-Category · 4.1