MIT AI Risk Repository · Risk Category · 24.11.00

Misinformation risks

Open the MIT Risk Navigator All entries from Gabriel2024

Description

"The rapid integration of AI systems with advanced capabilities, such as greater autonomy, content generation, memorisation and planning skills (see Chapter 4) into personalised assistants also raises new and more specific challenges related to misinformation, disinformation and the broader integrity of our information environment. "

From The Ethics of Advanced AI Assistants (Gabriel2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: 3. Misinformation
Subdomain: 3.0
Causal entity: Other
Intent: Other
Timing: Other

How other frameworks describe this risk

Historical revisionism
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)
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)
Misinformation Harms
Sociotechnical Safety Evaluation of Generative AI Systems (Weidinger2023)

Other entries from Gabriel2024

Capability failures Risk Category · 7.3
Lack of capability for task Risk Sub-Category · 7.3
Difficult to develop metrics for evaluating benefits or harms caused by AI assistants Risk Sub-Category · 6.5
Safe exploration problem with widely deployed AI assistants Risk Sub-Category · 7.3
Goal-related failures Risk Category · 7.1
Misaligned consequentialist reasoning Risk Sub-Category · 7.3
Specification gaming Risk Sub-Category · 7.1
Goal misgeneralisation Risk Sub-Category · 7.1
Deceptive alignment Risk Sub-Category · 7.1
Malicious Uses Risk Category · 4.0
Offensive Cyber Operations (General) Risk Sub-Category · 4.2
AI-Powered Spear-Phishing at Scale Risk Sub-Category · 4.1