MIT AI Risk Repository · Risk Category · 07.01.00

Misuse

Open the MIT Risk Navigator All entries from Kilian2023

Description

"The misuse class includes elements such as the potential for cyber threat actors to execute exploits with greater speed and impact or generate disinformation (such as "deep fake" media) at accelerated rates and effectiveness"

From Examining the differential risk from high-level artificial intelligence and the question of control (Kilian2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: 4. Malicious actors
Subdomain: 4.0
Causal entity: Human
Intent: Intentional
Timing: Post-deployment

How other frameworks describe this risk

Dual-Use Capabilities Enable Malicious Use and Misuse of LLMs
Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024)
Malicious Use Risks
International Scientific Report on the Safety of Advanced AI (Bengio2024)
Risks from malicious use
International AI Safety Report 2025 (Bengio2025)
Enabling malicious actors and harmful actions
Navigating the Landscape of AI Ethics and Responsibility (Cunha2023)
Malicious Use and Unleashing AI Agents
Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023)
Misuse risks
Capabilities and Risks from Frontier AI (DSIT2023)
Malicious Uses
The Ethics of Advanced AI Assistants (Gabriel2024)
Fine-tuning related (Ease of reconfiguring GPAI models)
Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

Other entries from Kilian2023

Accidents Risk Category · 7.3
Agential Risk Category · 7.1
Structural Risk Category · 6.0