Raising An Artificial Intelligence

25-minute Talk

Teaching AI needs to be seen more as developing a new intelligence rather than teaching a developed mind new skills.

Virtual Pass session

Timetable

2:45 p.m. – 3:30 p.m. Wednesday 20th

Room

Room F1 - Track 1: Talks

Audience

Testers and Developers

Key-Learning

  • AI learning is more like a child than an adult
  • AI deals with similar mental issues as humans have
  • Techniques from Neuropsychology can be applied to AI
  • Agile Learning Theory can be applied to any AI learning algorithm

Neuropsychology applied to AI

Teaching Artificial Intelligence is starting to remind me more and more of raising my kids. Like them, they can be unpredictable, think in unexpected ways, and need special approaches that are hard to design ahead of time. How can we test something that is constantly learning, changing, and might be hiding things from us?

Artificial Intelligence technology is increasing at an exponential rate, meaning that soon most of us are going to at least have some experience in either testing an AI product, working with AI tools, or even being assisted by an AI “colleague.” And each one can be as unpredictable as a young child!

That’s where psychology comes in. As a clinical neuropsychologist I had to “test” people, who are also learning, changing, and sometimes lying. I think a lot of the same principles there can be applied to AI testing, and so I’ve set out to recon, understand and chart the methods and tools we might need to learn very soon. In this talk I will walk through the questions and challenges we have today, as well as the work done so far in AI testing.

Expanding on those foundations we will take a look at psychology and how the same principles used there can aid us in testing and working with AI and further evolutions of our technology. My goal is to show a new direction of growth in our testing discipline, one that acknowledges and embraces how human we will need to be.

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