Use case

Automated audit of AI algorithms

Many organizations are in the process of deploying AI applications into production. A major concern is how to make sure that the algorithms are trustworthy. With Chiron, you can automate the validation of these algorithms.

Key features


Prepackaged templates

Create reproducible documentation that analyzes how your model scores with respect to the seven categories of ALTAI.


Quantitative and qualitative

Tests and questions developed by Yields.io can probe for the governance that has been put in place.


Data driven validation

Because the validation approach is data driven, it can also be used for vendor models.


Assessment List for Trustworthy AI — ALTAI

The EU made progress on this topic with the publication of the Assessment list for Trustworthy AI (ALTAI). The list contains seven categories of questions that help verify the quality of the algorithms.

  • Human agency and oversight
  • Technical robustness and safety
  • Privacy and data governance
  • Transparency
  • Diversity, non-discrimination and fairness
  • Environmental and societal well-being
  • Accountability

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
Fednot
Argenta
VDAB
Raiffeisen Bank International

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