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Calvin Risk Platform
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Quality Assessment and Automation (QAA)
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Automated Model Onboarding

Easily add new models for assessment

Specify essential information about the model as input for the quality metrics. Automate model on-boarding using endpoint configuration or the MLFlow format and Calvin's REST API.

Model class and scoring methods to estimate performance, robustness, and explainability

Select the appropriate scoring methods for your model, such as F1 for classification models, R2 for regression models, DCG or ROC curve for ranking models, etc. In total, 40+ scoring methods are supported by the Calvin platform, and more can be added based on customer needs.

Protected groups to estimate fairness

Specify protected groups that are annotated in your data set to understand if the AI model disadvantages them, thereby exposing the company to legal and reputational losses.

Maturity of governance processes to estimate accountability and safety

Answer 3 to 6 questions related to your governance structure, data understanding, performance goals, and monitoring plans to quantify accountability risk. Answer 3 to 4 questions related to fallback and control measures to quantify safety risk.

Related Features

Quality Metrics

Save precious validation time by calculating a rich set of metrics with a single button click and investigate the main risk contributions to the aggregate score.

Learn more

Severity Assessment

Estimate economic losses based on the business use case. Select risk causes and effects based on ISO risk management standard 31000. Combine model risk frequencies and severity to obtain a unified portfolio risk distribution with time tracking and to discover the principal risk contributions across models, use cases, risk dimensions.

Learn more

Additional Resources

Video

Navigating the Frontier of AI Machine Learning Risks and Resilience

Blog: Calvin's AI Risk Management Framework

Calvin's AI Risk Management Framework

Blog: AI Risk Management in the DACH region

AI Risk Management in the DACH region: Overviews and Trends for AI in 2024

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Managing the risks of your AI algorithms since 2022.

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