> For the complete documentation index, see [llms.txt](https://documentations.seclea.com/iso-ai-risk-management/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentations.seclea.com/iso-ai-risk-management/ai-accountability-acc.md).

# AI Accountability (ACC)

Accountability refers both to a characteristic of organizations and to a system property:

1. Organizational accountability means that an organization takes responsibility for its decisions and actions by explaining them and being answerable for them to the governing body, to legal authorities and more broadly to stakeholders.
2. System accountability relates to being able to trace the decisions and actions of an entity to that entity.

The use of AI can change existing accountability frameworks. Where previously persons performed actions for which they would be held accountable, such actions can now be fully or partially performed by AI systems. Who would be accountable in this case is an ongoing consideration by regulators. Developers and users of AI systems should be aware of the related legislation in the countries where the system is brought onto the market and used.

Controls related to this risk category are listed as below:

* ACC 01 - Intended Purpose of AI Use 
* ACC 02 - Accountability Framework 
* ACC 03 - Logging Capabilities 
* ACC 04 - Logging Traceability 
* ACC 05 - Full Track of Mitigation Measures 
* ACC 06 - TEVV Documentation 
* ACC 07 - Tools for TEVV 
* ACC 08 - Evaluations of Human Subjects


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://documentations.seclea.com/iso-ai-risk-management/ai-accountability-acc.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.