MIT AI Risk Repository · Risk Category · 52.01.00

Risks from Unreliability

Open the MIT Risk Navigator All entries from Maham2023

Description

"Risks from Unreliability stem from general purpose AI models that lack reliability, robustness, transparency, corrigibility, and interpretability, making it challenging to predict and control their behaviour fully. This includes Discrimination and Stereotype Reproduction, Misinformation and Privacy Violations, and Accidents."

From Governing General Purpose AI: A Comprehensive Map of Unreliability, Misuse and Systemic Risks (Maham2023 ), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: —
Subdomain: —
Causal entity: AI
Intent: Unintentional
Timing: Post-deployment

Other entries from Maham2023

Discrimination and Stereotype Reproduction Risk Sub-Category · 1.1
Discrimination and Stereotype Reproduction Additional evidence
Discrimination and Stereotype Reproduction Additional evidence
Misinformation and Privacy Violations Risk Sub-Category · 3.1
Misinformation and Privacy Violations Additional evidence
Misinformation and Privacy Violations Additional evidence
Accidents Risk Sub-Category · 7.3
Accidents Additional evidence
Accidents Additional evidence
Accidents Additional evidence
Accidents Additional evidence
Accidents Additional evidence