White Paper
Effective Testing Strategies
Effective Testing Strategies
for AI/ML Models
Introduction
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries, driven by their ability to analyze data and make autonomous decisions. As these technologies proliferate, ensuring the reliability and ethical integrity of AI/ML models through rigorous testing becomes increasingly critical.
This whitepaper provides an in-depth exploration of the pivotal role of testing in AI/ML model development. It addresses unique challenges and proposes refined testing methodologies tailored to the complexities of these systems.
The whitepaper is a thoroughly curated document that talks about:
- The Importance of Testing AI/ML Models
- Challenges in Testing AI/ML Models
- Refined Approach to Testing AI/ML Models
- Key Factors to Consider While Testing AI-Based Solutions
- Risks in Testing AI/ML Models
- ImpactQA’s Recommendations and Case Examples