H2O.ai Responsible AI
Making AI transparent, fair, and secure.
Overview
H2O.ai provides a range of tools and capabilities for responsible AI as part of its H2O AI Cloud platform. This includes features for model explainability, fairness, and security to help organizations build and deploy AI systems that are transparent, equitable, and robust. H2O.ai's responsible AI offerings are integrated into its various products, including H2O-3, Driverless AI, and H2O MLOps.
✨ Key Features
- Machine learning interpretability (MLI)
- Fairness assessment and bias mitigation
- Adversarial robustness and security
- Model documentation and reporting
- Integration with the H2O AI Cloud platform
- Support for both open-source and enterprise products
🎯 Key Differentiators
- Strong open-source heritage with H2O-3
- Automated machine learning with Driverless AI
- Comprehensive platform for the entire AI lifecycle
Unique Value: Provides an end-to-end AI platform with integrated responsible AI capabilities, enabling organizations to build and deploy fair, transparent, and secure AI systems.
🎯 Use Cases (5)
✅ Best For
- Responsible AI in financial services, healthcare, and insurance
- Building fair and transparent models with H2O Driverless AI
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Users looking for a standalone, lightweight bias detection tool outside of the H2O ecosystem
- Organizations not using or planning to use the H2O AI Cloud
🏆 Alternatives
Offers a strong combination of open-source and enterprise-grade tools, as well as powerful automated machine learning capabilities.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: H2O-3 is open-source and free.
🔄 Similar Tools in AI Bias Detection
IBM AI Fairness 360
An open-source toolkit with metrics and algorithms to detect and mitigate unwanted bias in datasets ...
Fairlearn
A Python package to assess and mitigate unfairness in machine learning models, focusing on group fai...
Google What-If Tool
An interactive visual interface to understand ML model behavior and test for fairness....
Aequitas
A Python library for auditing machine learning models for discrimination and bias....
Microsoft Responsible AI Dashboard
An interactive dashboard in Azure Machine Learning for debugging and assessing AI models for fairnes...
Fiddler AI
A platform for monitoring, explaining, and analyzing machine learning models in production....