MIT AI Risk Repository · domain 6: Socioeconomic & Environmental
6.5 Governance failure
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.
- 61
- 12
- 3
- 3
| Label | Value |
|---|---|
| Human | 31 |
| Other | 16 |
| AI | 11 |
| Not coded | 3 |
| Label | Value |
|---|---|
| Unintentional | 31 |
| Other | 25 |
| Not coded | 3 |
| Intentional | 2 |
| Label | Value |
|---|---|
| Pre-deployment | 23 |
| Other | 19 |
| Post-deployment | 16 |
| Not coded | 3 |
| Label | Value |
|---|---|
| 2022 | 1 |
| 2026 | 2 |
| Label | Value |
|---|---|
| Risk Category | 12 |
| Risk Sub-Category | 49 |
Risk entries
Browse and export all- Resistance to international law
"AI models and systems may prove difficult to regulate or control under international law."
- Unpredictability of AI development trajectory
"The unpredictable trajectory of AI development complicates governance and risk management."
- AI Law and Regulation
"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 challe...
- Governance of autonomous intelligence systems
"Governance of autonomous intelligence systemaddresses the question of how to control autonomous systems in general. Since nowadays it is very difficult to conceive automated decisions based on AI, th...
- Responsibility and accountability
"The challenge of responsibility and accountability is an important concept for the process of governance and regulation. It addresses the question of who is to be held legally responsible for the act...
- Lack of AI experts with comprehensive AI knowledge
- Lack of knowledge and social acceptance regarding AI
- Legal AI Risks
"Legal and regulatory risks comprise in particular the unclear definition of responsibilities and accountability in case of AI failures and autonomous decisions with negative impacts (Reed, 2018; Sche...
- Unclear definition of responsibilities and accountability for AI judgments and their consequences
- Great scope and ubiquity of AI make appropriate governance difficult, coverage of governance scope almost impossibl
- Capturing future AI development and their threats with appropriate mechanism