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AI Auditing By The EDPB: A Technical Guide

In this whitepaper, you will learn about:

  • EDPB’s AI Auditing project, purpose and scope,
  • The auditing process and audit reports,
  • How Securiti helps ensure swift compliance.

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The European Data Protection Board (EDPB) has developed its AI Auditing project to help organizations map, develop, and pilot tools to evaluate the GDPR compliance of their AI systems and applications.

The AI Auditing project also helps key stakeholders evaluate various critical aspects of their AI operations, both at the backend and frontend, such as data quality, risk management, transparency, and lifecycle monitoring.

This whitepaper aims to give organizations a deeper understanding of the complexities and various processes involved in AI Auditing, helping organizations leverage the EDPB's project as a practical resource for their operations.

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AI Auditing By The EDPB: A Technical Guide

Award-winning technology, built by a proven team, backed by confidence. Learn more.

Frequently Asked Questions (FAQs)

EDPB’s AI Auditing project aims to map, develop, and pilot tools that help evaluate the GDPR compliance of AI systems and applications that are GDPR compliant. It helps all parties understand and assess data protection safeguards in the context of the AI Act.

The auditing process involves deploying an end-to-end, socio-technical algorithmic audit (E2EST/AA) that thoroughly evaluates an AI system across various functions and contexts, such as how the system is implemented, datasets used, and users likely to be impacted by it.

The E2EST/AA is an extensive and comprehensive process that involves rigorous interactions between the auditor and the development team. The process involves the following steps, which would provide the auditor with the necessary information to complete their assessment and validate their findings.

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