Skip to main content
This is a research prototype. The data and analyses are preliminary and not yet validated — we'd welcome your .
MIT AI Risk Initiative
BackResistance to international law
Rapid development outpacing regulation
Risks from network interconnectivity

Resistance to international law

A Taxonomy of Systemic Risks from General-Purpose AI

Uuk et al. (2025)

SourceDOI
Sub-category
Risk Domain
6Socioeconomic & Environmental
6.5Governance failure

Inadequate regulatory frameworks and oversight mechanisms that fail to keep pace with AI development, leading to ineffective governance and the inability to manage AI risks appropriately.

"AI models and systems may prove difficult to regulate or control under international law."(p. 13)

Entity: Who or what caused the harm

Human

Due to a decision or action made by humans

AI system

Due to a decision or action made by an AI system

Other

Due to some other reason or is ambiguous

Intent: Whether the harm was intentional or accidental

Intentional

Due to an expected outcome from pursuing a goal

Unintentional

Due to an unexpected outcome from pursuing a goal

Other

Without clearly specifying the intentionality

Timing: Whether the risk is pre- or post-deployment

Pre-deployment

Occurring before the AI is deployed

Post-deployment

Occurring after the AI model has been trained and deployed

Other

Without a clearly specified time of occurrence

Other risks from Uuk et al. (2025) (60)

Control

7.1 AI pursuing its own goals in conflict with human goals or values
AI systemIntentionalPost-deployment

Democracy

6.0 Socioeconomic & Environmental
OtherOtherOther

Discrimination

1.1 Unfair discrimination and misrepresentation
OtherOtherPost-deployment

Economy

6.2 Increased inequality and decline in employment quality
OtherOtherPost-deployment

Environment

6.6 Environmental harm
AI systemUnintentionalPost-deployment

Governance

6.5 Governance failure
AI systemUnintentionalPost-deployment
View all 60 risks from this paper →