Episode 077 Exploring Artificial Intelligence with Melanie Mitchell

Episode 77

Exploring Artificial Intelligence with Melanie Mitchell

March 8, 2018

What is artificial intelligence? Could unintended consequences arise from increased use of this technology? How will the role of humans change with AI? How will AI evolve in the next 10 years?

In this episode, Haley interviews leading Complex Systems Scientist, Professor of Computer Science at Portland State University, and external professor at the Santa Fe Institute, Melanie Mitchell. Professor Mitchell answers many profound questions about the field of artificial intelligence and gives specific examples of how this technology is being used today. She also provides some insights to help us navigate our relationship with AI as it becomes more popular in the coming years.


Show Notes

Quotes from this episode:

“Artificial intelligence is how to make computers think like people.” - Melanie Mitchell

“The most successful approach to AI to date is the machine learning approach.” - Melanie Mitchell

“I think that a collaboration between brain scientist, AI people, cognitive scientists and so on, is going to be really essential. I don’t think these different fields can progress separately.” - Melanie Mitchell

“AI systems can be biased by the data that they learn from... it amplifies the kind of biases that we have in our society.” - Melanie Mitchell

“The long tail problem for AI means that there are lots of things that are going to happen and it’s hard to foresee all of them and to train systems for all of them.” - Melanie Mitchell

“Getting these systems to be more explainable so that we can understand them and understand their biases and vulnerabilities is really really important and I think that’s increasingly what a lot of the people in the AI research community are looking at.” - Melanie Mitchell

“More and more in the justice system, people are using algorithms, that have been trained and are hard to understand, to make suggestions and decisions – this is also true in medicine – and so, we would like these systems to be able to explain themselves, at least as well as people can.” - Melanie Mitchell

“I think we as humans have to be very careful knowing when we can trust these systems. We tend to trust algorithms probably more than we should, and maybe especially when we don’t understand how they work.” - Melanie Mitchell

“Intelligence is very multidimensional. There is emotional intelligence or social intelligence... and it’s going to take a long time before these systems are going to interact with people in the way that we need a manager to interact and understand.” - Melanie Mitchell

Resources from this episode: