AI System Evaluation Framework

A AI System Evaluation Framework is an system evaluation framework to build AI system evaluation systems.

• Context:
  • It can be an AI Domain-Specific System Evaluation Framework, for AI domain such as: Natural Language Processing, Computer Vision, Reinforcement Learning, and Predictive Analytics.
  • It can be used to ensure AI Trustworthiness, including aspects like Reliability, Safety, Security, and Accountability.
  • ...
• Example(s):
  • Google AI Principles Framework.
  • Microsoft AI Fairness Checklist.
  • IBM AI Ethics Toolkit.
  • OpenAI Evals Framework.
  • ...
• Counter-Example(s):
  • A Software System Evaluation Framework, such as traditional software testing frameworks that do not account for AI-specific challenges.
  • ...
• See: Artificial Intelligence, AI Governance, AI Ethics, Machine Learning Model Evaluation, AI Risk Management Framework, AI Impact Assessment.

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