Gerie Owen is a QE Architect at Medullan. She is a Certified Scrum Master, Conference Presenter and Author on technology and testing topics. She enjoys analyzing and improving test processes and mentoring new QA Leads as well as bringing a cohesive team approach to testing. Gerie is the author of many articles on technology including Agile and DevOps topics. She chooses her presentation topics based on her experiences in technology, what she has learned from them and what she would do to improve them.
Talk: Not Fair! Testing AI Bias and Organizational Values
Just because a machine learning system is biased doesn’t mean that it isn’t useful. If the bias reflects our goals as an organization, then it may not matter that the result is suboptimal.
Fairness means that we want to make sure we consider the needs of all stakeholders, and balance those needs against goals. To do so, we require a clear statement of those goals, and the ability to objectively test them against results.
This presentation posits fairness as a goal in developing machine learning systems, and describes how to make that goal objective in order to set up and execute a testing plan.