Testing in the AI Era: Opportunities, Hurdles, and the Evolving Role of Engineers

They said that automation was coming for tester’s jobs. But is that what really happened? Nothing is ever so simple or straightforward. So how are you to know what to take at face value or dismiss as hype in today’s context with AI as it relates to testing?

In this session, Joe Colantonio hosts Janna Loeffler, Dave Piacente, and Stephen Williams, as they share their take on various topics related to AI in testing, including the current state of AI adoption, the trustworthiness of AI, the impact of AI on testing roles, and the potential benefits and challenges of using AI in testing. The panelists emphasized the importance of understanding the use cases and limitations of AI, as well as the need for collaboration between developers and testers in leveraging AI effectively. They also highlight the significance of data quality and the need for testers to upskill and stay informed about AI technologies.

Topics covered:

• Importance of understanding AI and its applications in testing
• Trusting AI in test results and the need for human involvement
• Impact of AI on testing roles and titles
• Balancing signal and noise in AI applications
• Collaboration between developers and testers in AI testing
• Learning path for upskilling in AI and testing

• Speakers
• Joe Colantonio, Test Guild
• Janna Loeffler, mParticle
• Dave Piacente, Applitools
• Stephen Williams, Accenture