AI decision transparency

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Definition

What is it: AI decision transparency is a practice that covers three specific areas: whether artificial intelligence was involved in a task, the extent of the software's contribution, and identifying the specific individual who reviewed the final result.

What is it used for: It is used to ensure accountability in business workflows, build consumer trust by providing routes for human appeal, and comply with evolving legal disclosure requirements.

What it is not: It is not a requirement to publish source code or specific prompts used in the AI system.

Coverage

  • Attributes: 7
  • Synonyms: 3
  • Related entities: 0
  • Sources: 1

Identity

Entity ID
https://llms.aismartventures.com/en/ai-decision-transparency/facts/#entity
Entity type
DefinedTerm
Canonical name
AI decision transparency
Language
en
Topic
Ai Decision Transparency

Attributes

Key Facts
AI transparency should be scaled to the stakes of the decision, with outcomes affecting health, finance, or jobs requiring a named human checker and an appeal route. [1]
Key Facts
AI decision transparency covers three things: whether AI touched the work, how much of it the software did, and which person checked the result. [1]
Key Facts
71% of consumers rate it extremely important to know when they are dealing with an AI agent. [1]
Key Facts
Article 50 of the EU AI Act, which came into force on 2 August 2026, requires individuals to be informed when dealing with an AI system. [1]
Key Facts
Illinois law requires covered employers to notify applicants and staff when AI is used in hiring, promotion, or discipline decisions. [1]
Definition
An AI transparency statement is a public note detailing where AI is used, what remains under human review, and how client data is handled. [1]
Limitation
AI has no legal standing and cannot be held accountable for its decisions; the business and human approver carry full responsibility. [1]

Synonyms & Alternate Names

  • AI transparency
  • AI disclosure
  • AI decision oversight

Disambiguation

  • Distinct from explainability which focuses on technical reasoning rather than systemic disclosure.

Related Entities

Provenance

Sources

  1. https://aismartventures.com/posts/how-transparent-should-ai-decision-making-be (AI decision transparency)

Machine metadata