session
About the Talk
AI in Software Testing is a double-edged sword. Testers get promoted, and respected, when testing is fast, efficient, creative, automates important and difficult coverage, and communicates the resulting risk mitigation. Testers don’t get promoted for tirelessly checking, or automating every build for changes, errors, basic functionality, accessibility, privacy, security, performance, etc. Testers that want promotion should be adding AI to their toolbelt to take care of this work–so they can focus on their career and happiness.
Automation engineers should avoid the risks of adding AI to existing automation and tools that will increase complexity, flakiness and make debugging difficult. Testers should also avoid using AI to simply generate more test cases–that create more work and can slow the test team down.
There is a simple strategy for your career to benefit from the advancements in AI. Jason will walk through practical ways to get visibility for things that help you get promoted, and avoid the things that are likely to cause trouble and confusion. Get your career moving fast and benefiting from AI–before the engineering team does.
Key Takeaways:
Jason Arbon is the CEO of Checkie.AI, where his mission is to test the world's apps. Google’s AI investment arm led the funding for his previous company (test.ai). Jason previously worked on several large-scale products: web search at Google and Bing, the web browsers Chrome and Internet Explorer, operating systems such as WindowsCE and ChromeOS, and crowd-sourced testing infrastructure and data at uTest.com. Jason has also co-authored two-books “How Google Tests Software’ and “App Quality: Secrets for Agile App Teams”.
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