AI Bias Detection - Directory w/ AI Reviews
As AI systems are deployed at scale, understanding and correcting for bias in model outputs has become a critical discipline. IBM AI Fairness 360 and Credo AI provide open and enterprise frameworks for auditing models across demographic groups. Holistic AI, Fiddler AI, and Arthur AI offer ongoing monitoring platforms that flag drift, fairness violations, and unexpected model behavior in production.
1
4.8
New
Arthur AI
Paid
API
Enterprise
Arthur AI includes comprehensive bias monitoring that tracks fairness metrics across protected demographic groups over time. The platform detects disparate impact, monitors for bias drift in production, and provides explainability features that reveal which input features influence predictions, help
2
4.8
New
IBM AI Fairness 360
Free
Free Plan
API
Open Source
IBM's AI Fairness 360 is an open-source toolkit containing over 70 fairness metrics and 10 bias mitigation algorithms for machine learning models. It supports pre-processing, in-processing, and post-processing bias interventions across the full ML pipeline. Widely used in academic research and enter
3
4.7
New
Holistic AI
Paid
API
Holistic AI provides comprehensive AI risk management with a focus on bias auditing, explainability, and compliance across the AI lifecycle. Their platform automates fairness assessments and generates audit reports aligned with emerging AI regulations worldwide. It serves enterprises, auditors, and
4
4.7
New
Credo AI
Paid
API
Credo AI provides AI governance with policy packs aligned to the EU AI Act and NIST AI RMF for enterprise risk.
5
4.7
New
Fiddler AI
Paid
API
Fiddler AI provides enterprise ML monitoring with real-time bias detection, fairness analysis, and explanations.
6
4.7
New
Google What-If Tool
Free
Free Plan
Open Source
Google What-If Tool is an open-source interface for investigating ML fairness and bias through subgroup analysis.
7
4.6
New
Robust Intelligence
Paid
API
Enterprise
Robust Intelligence includes bias and fairness testing as a core component of its AI validation platform. Its automated testing framework evaluates models for demographic biases, disparate impact, and fairness violations across protected attributes, helping organizations identify and address bias is
8
4.3
New
Patronus AI
Paid
API
Enterprise
Patronus AI includes bias evaluation as part of its LLM assessment suite, testing model outputs for demographic biases, stereotyping, and unfair treatment across different population groups. Its automated evaluation framework helps organizations identify and quantify bias in AI-generated content bef