MIT AI Risk Repository · Risk Sub-Category · 65.22.04

Lack of data transparency

Category: Non-technical risks (Governance)

Description

"Lack of data transparency is due to insufficient documentation of training or tuning dataset details. "

From AI Risk Atlas (IBM2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Causal entity
Human

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.

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How other frameworks describe this risk

Other entries from IBM2025