AI Explainability 360

Open Source

Explainability and Fairness Updated Feb 15, 2026

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Compared with 13 other Explainability and Fairness agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Free to use under the Apache License 2.0.

🎯 Use Cases

Auditing black-box models for bias and fairness Debugging model predictions in high-stakes applications (e.g., healthcare, finance) Communicating model behavior to non-technical stakeholders Comparing different explainability methods for research Ensuring regulatory compliance for transparent AI systems

⚖️ Pros & Cons

✅ Pros

Wide variety of state-of-the-art explainability algorithms in one toolkit
Actively maintained by IBM's Trusted AI team and open-source contributors
Supports multiple explanation types (local, global, contrastive)

❌ Cons

Steeper learning curve compared to simpler explainability tools
Some algorithms may have high computational overhead
Documentation could be more beginner-friendly

Overview

AI Explainability 360 is an open-source toolkit that provides a comprehensive set of algorithms and metrics to interpret and explain machine learning model decisions. It supports multiple explanation techniques, including feature importance, rule-based explanations, and contrastive explanations, to improve transparency in AI systems.

Problem It Solves

It helps users understand and justify the predictions of machine learning models, reducing opacity and increasing trust in AI decision-making.

Target Audience: Developers and teams working with explainability and fairness automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are AI Explainability 360, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?: Yes
Can this agent be self-hosted?: Yes
What skill level is required?: Intermediate

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