Giskard
Testing platform for AI models
Giskard is a testing platform for AI models that helps protect companies against biases, performance, and security issues in AI models. It offers automated detection of performance, bias, and security issues, unifies AI testing practices, and ensures compliance with the EU AI Act. Giskard provides an open-source Python library for data scientists and an enterprise collaborative hub to control all AI risks in one place. It aims to address the shortcomings of current MLOps tools in handling AI risks and compliance.
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Features
- Automated detection of performance, bias, and security issues
- Unification of AI testing practices
- Compliance with the EU AI Act
- Open-source Python library for data scientists
- Enterprise collaborative hub for AI risk control
Advantages
- Automated testing saves time and effort
- Helps in identifying biases in AI models
- Ensures compliance with regulations
- Provides open-source tools for data scientists
- Centralized platform for managing AI risks
Disadvantages
- May require some learning curve for new users
- Limited customization options for testing
- Dependency on Python programming knowledge
Frequently Asked Questions
-
Q:Who is Giskard for?
A:Giskard is for AI engineers, heads of AI teams, AI governance officers, and those working on business-critical AI applications. -
Q:What are the key features of Giskard?
A:Giskard offers automated detection of performance, bias, and security issues, compliance with the EU AI Act, and an open-source Python library for data scientists. -
Q:How does Giskard help in AI risk management?
A:Giskard provides a centralized platform for controlling all AI risks, automating compliance, and ensuring the quality, security, and compliance of AI models.
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