Explore our curated selection of essential reads on AI in testing and quality engineering. These books offer valuable insights for testers and QA/QE professionals looking to either (a) leverage AI to enhance testing practices or (b) to effectively test AI-driven systems.
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Artificial Intelligence and Software Testing: Building systems you can trust
by Adam Leon Smith (Author, Editor), James Davenport (Author), Jeremias Roessler (Author), Joanna Olszewska (Author), Jonathon Wright (Author), Rex Black (Author)
- Description – This book discusses the importance of trustworthiness in AI systems, offering practical methods for ensuring quality in AI-based applications. It addresses the unique challenges that come with testing machine learning systems.
- Social Media Sentiment – The book has been praised for its clarity and relevance, making it a must-read for professionals interested in the implications of AI in software quality assurance.
- Buying Links
Artificial Intelligence and Software Testing: Building systems you can trust
by Adam Leon Smith (Author, Editor), James Davenport (Author), Jeremias Roessler (Author), Joanna Olszewska (Author), Jonathon Wright (Author), Rex Black (Author)
- Description – This book discusses the importance of trustworthiness in AI systems, offering practical methods for ensuring quality in AI-based applications. It addresses the unique challenges that come with testing machine learning systems.
- Social Media Sentiment – The book has been praised for its clarity and relevance, making it a must-read for professionals interested in the implications of AI in software quality assurance.
- Buying Links
Artificial Intelligence and Software Testing: Building systems you can trust
by Adam Leon Smith (Author, Editor), James Davenport (Author), Jeremias Roessler (Author), Joanna Olszewska (Author), Jonathon Wright (Author), Rex Black (Author)
- Description – This book discusses the importance of trustworthiness in AI systems, offering practical methods for ensuring quality in AI-based applications. It addresses the unique challenges that come with testing machine learning systems.
- Social Media Sentiment – The book has been praised for its clarity and relevance, making it a must-read for professionals interested in the implications of AI in software quality assurance.
- Buying Links
Artificial Intelligence and Software Testing: Building systems you can trust
by Adam Leon Smith (Author, Editor), James Davenport (Author), Jeremias Roessler (Author), Joanna Olszewska (Author), Jonathon Wright (Author), Rex Black (Author)
- Description – This book discusses the importance of trustworthiness in AI systems, offering practical methods for ensuring quality in AI-based applications. It addresses the unique challenges that come with testing machine learning systems.
- Social Media Sentiment – The book has been praised for its clarity and relevance, making it a must-read for professionals interested in the implications of AI in software quality assurance.
- Buying Links
