Use case

AI audit and certification

Algorithms are used to make important decisions. Because of the scale and speed of algorithms, issues with bias, fairness and accuracy can be significantly amplified leading to losses, impact on the company’s reputation etc.

Key features

Algorithmic audit and certification services

Mitigate the risk.

Automated model risk management

The automation allows us to perform an exhaustive in-depth audit, that can moreover be repeated whenever new data becomes available.

Monitoring capability

Necessary since AI applications are being changed and re-trained at a high frequency.

AI Audit and Certification Services

A typical algorithmic audit consists of the following steps:

  • Week 1: model onboarding (we review the existing documentation and available data)
  • Week 2-4: model audit: we assess the trustworthiness of the algorithms based on a best-practice approach inspired by ALTAI
  • Week 5: Review of the draft audit report with the client
  • Week 6: Final report and presentation of findings

After the algorithmic audit, you have the opportunity to subscribe to our algorithm monitoring service to receive periodic updates on the performance of your models.

Download Example Report

Download an example report that illustrates a few of the elements present in Chiron’s templates for documenting or validating AI algorithms.

Banca Mediolanum
Gruppo Bancario Cooperativo Iccrea
Raiffeisen Bank International

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