MIT AI Risk Repository · Risk Category · 20.01.00

AI Law and Regulation

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Description

"This area strongly focuses on the control of AI by means of mechanisms like laws, standards or norms that are already established for different technological applications. Here, there are some challenges special to AI that need to be addressed in the near future, including the governance of autonomous intelligence systems, responsibility and accountability for algorithms as well as privacy and data security."

From The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration (Wirtz2020), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: 6. Socioeconomic & Environmental
Subdomain: 6.5 Governance failure
Causal entity: Human
Intent: Intentional
Timing: Post-deployment

Subdomain definition: Inadequate regulatory frameworks and oversight mechanisms failing to keep pace with AI development, leading to ineffective governance and the inability to manage AI risks appropriately.

Real-world incidents in this subdomain

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How other frameworks describe this risk

Mobility
The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)
Liability issues in case of accidents
The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)
Faster scientific progress makes it harder for governance to keep pace with development
A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023)
Type 1: Diffusion of responsibility
TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI (Critch2023)
Products Liability Law
Generating Harms - Generative AI's impact and paths forwards (EPIC2023)
Institutional responsibilities
The Ethics of Advanced AI Assistants (Gabriel2024)
Difficult to develop metrics for evaluating benefits or harms caused by AI assistants
The Ethics of Advanced AI Assistants (Gabriel2024)
Benchmarking (Cross-lingual data contamination)
Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

Other entries from Wirtz2020

Governance of autonomous intelligence systems Risk Sub-Category · 6.5
Governance of autonomous intelligence systems Additional evidence
Responsibility and accountability Risk Sub-Category · 6.5
Privacy and safety Risk Sub-Category · 4.1
AI Ethics Risk Category · 7.3
AI-rulemaking for human behaviour Risk Sub-Category · 7.3
Compatibility of AI vs. human value judgement Risk Sub-Category · 7.3
Moral dilemmas Risk Sub-Category · 7.3
AI discrimination Risk Sub-Category · 1.1
AI Society Risk Category · 5.2
Workforce substitution and transformation Risk Sub-Category · 6.2
Social acceptance and trust in AI Risk Sub-Category