The audit conducted by Ai.ethics experts is based on a self-assessment and is materialized in a report that highlights the maturity level of the governance of Artificial Intelligence systems according to applicable ISO and OECD frameworks. It also assesses the ethical adequacy of these systems and includes improvement proposals.

The objective is to provide a measurement and evaluation of trust levels through the following performance analysis indicators:

Ethical principles of transparency, fairness, privacy, and responsibility

Quality and confidentiality of data collected and stored by AI systems

Learning capabilities of AI systems

Verification and analysis of algorithms and evaluation metrics to ensure the absence of bias and discrimination

Ensuring that AI systems comply with privacy and security regulations

Identification of the human responsible for ethical issues identified in AI systems

Verification that AI systems align with legal aspects and the organization’s ESG reports

Transparent communication of results and issues to all stakeholders