Building Trust in AI for Software Testing Requires Open Minds and Realistic Expectations

Artificial intelligence (AI) has finally made it to the collective consciousness as one of the biggest game changers in the history of technology. But for many in the software testing realm, skepticism keeps them from AI-related technologies and applications. When the benefits of AI are carefully considered — increased speed and efficiency, for example — it becomes clear that businesses need to embrace the technology and prepare to incorporate it into their workflows. But how can we build trust in AI for the detractors and skeptics?

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Despite its myriad of capabilities, AI won’t replace individual workers anytime soon and is unlikely to lead to a robot rebellion. Once we start thinking of it as a utility instead of an enemy, the benefits can be realized. Autonomous software testing is more realistic and practical with humans working together, and engineers can monitor, fix, and teach AI to improve the products. Once it’s been established what it can and can’t do, clearly-set goals can prepare teams for success. Offering AI as a tool for software testers, supported by management with clear directives, will enable them to appreciate the positives that it brings to their work and provide better results for all involved.