Rachel is an enthusiastic and eager tester who found testing only after forays into law and entrepreneurship. She brings her background in both analytical and creative thinking to her testing, enjoys the challenges of building something new and increasing the efficiency of testing, and is always looking for ways to improve her competence as a tester and a human. She is based in Salt Lake City, where she sings semi-professionally and knits for fun.
The world is run by Artificial Intelligence (AI) and people who know how to use it. While it can do many powerful things, which we’ll talk about, it’s also important to recognize the problems that can be built into it. This keynote will address the good, the bad, and the bias of AI.
AI can increase people’s productivity, but it can also perpetuate racism, sexism, and other harms. Bias has been found in prison sentencing algorithms and healthcare insurance claims, among many others.
In this talk, we’ll address how to uncover bias and deficiencies in AI from the beginning by looking at the design holistically, considering risk in new ways, and testing it well.
Key takeaways:
1. While AI is changing the world, it also keeps the biased systems humans created in place.
2. We can build better algorithms when we consider bias in the beginning and try to counter it.
3. There is hope for a better future!
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