AI and Software Testing — Building Systems You Can Trust
白皮书
Today, software testing professionals face key issues: whether to trust artificial intelligence (AI), and how to incorporate it safely and effectively.
To build trust in AI, it’s possible to test the AI systems. However, AI doesn’t behave like other technology. While traditional software generally provides the same output each time, machine learning, a common form of AI, changes its behaviors in response to testing.
Read this white paper to discover how to address the challenges of testing with AI. In addition, get insights on:
- AI trustworthiness and quality
- Bias and AI
- Testing machine learning systems
- AI-based test automation
- Ontologies for software testing
- Shifting right into the metaverse with digital twin testing