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Overview
AI Fairness 360 is an AI agent in the Explainability and Fairness category.  - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Problem It Solves
This tool addresses challenges in the explainability and fairness domain.
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 Fairness 360, an AI assistant. Help the user accomplish their task efficiently.
Tools & Technologies
LLM APIs Python
Alternatives
- • AutoGPT
- • LangChain Agents
- • CrewAI
FAQs
- Is this agent open-source?
- Yes
- Can this agent be self-hosted?
- Yes
- What skill level is required?
- Intermediate