My starter pack reading list for AI in software testing…please feel free to add to the list in the comments! We got a lot of work to do friends, being informed is just the start…enjoy!
The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want – Emily Bender and Alex Hanna
Artifictional Intelligence: Against Humanity’s Surrender to Computers – Harry Collins
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? – Emily Bender, Timnit Gebru, Angelina McMillan-Major, Margaret Mitchell
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity – Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar
The Pursuit of Fairness in Artificial Intelligence Models: A Survey – Tahsin Kheya, Mohamed Jenek, Sunil Aryal
Against the Commodification of Education – Dagmar Monett, Gilbert Paquet
AI Now Landscape Report – Kate Brennan, Amba Kak, and Dr. Sarah Myers West
Developer Testing in the IDE Patterns Beliefs and Behavior – Beller, Gousios, Panichella, Proksch, Amann, Zaidman
Hiroshima Process International Code of Conduct
Responsible AI: Implement an Ethical Approach in your Organization – Olivia Gambelin
Full list of my resources here: QR Resources
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Great compilation! This starter pack offers a thoughtful blend of technical and ethical perspectives on AI in testing. As organizations explore AI-driven testing, partnering with experienced quality assurance companies can ensure a balanced approach. For those seeking guidance, this guide to the top software quality assurance companies is
provides valuable insights.
Thanks for sharing these resources — they’re essential for navigating the evolving landscape of AI in software testing!
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