transparency (de.: Transparenz)

The open, complete, comprehensible and accessible presentation of information on functional aspects of an AI system. This includes, among other things, the explainability of the AI system (e.g. neural networks), the comprehensibility of the data protection policy, and information about quality assurance processes during development.

ISO/IEC DIS 22989 property of a system that appropriate information about the system is communicated to relevant stakeholders (3.4.13).

Note 1 to entry: Appropriate information for system transparency can include aspects such as features, components, procedures, measures, design goals, design choices and assumptions.

Note 2 to entry: Inappropriate disclosure of some aspects of a system can violate security, privacy, or confidentiality requirements.

ISO/IEC TR 29119-11:2020 level of accessibility to the algorithm (3.1.12) and data used by the AI-based system (3.1.9)

ISTQB - CTAI Syllabus The level of visibility of the algorithm and data used by the AI-based system (After ISO/IEC TR 29119-11)

Source: AI-Glossary.org (https://www.ai-glossary.org), License of definition text (excl. standard references): CC BY-SA 4.0, accessed: 2024-11-21

BibTeX-Information

@misc{aiglossary_transparency_131cpqg,
author = {{AI-Glossary.org}},
title = {{transparency}},
howpublished = "https://www.ai-glossary.org/index.php?p=131cpqg\&l=en",
year = "2024",
note = "online, accessed: 2024-11-21" }