Human-Robot Interaction and Empathy with Kate Darling

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Today we’re joined by Dr. Kate Darling, Research Specialist at the MIT Media Lab.

Kate’s focus is on robot ethics and interaction, namely the social implication of how people treat robots and the purposeful design of robots in our daily lives. This episode is a fascinating look into the intersection of psychology and how we are using technology. We cover topics like how to measure empathy, the impact of robot treatment on kids behavior, the correlation between animals and robots, and why ‘successful’ robots aren’t always humanoid – all within the context of at least nine different types of robots for your listening pleasure. Kate combines a wealth of knowledge with an analytical mind that doesn’t stop questioning the why and how of human-robot interaction – the result is a enlightening episode for everyone.

About Kate

From the Interview

TWIMLcon Update

Don’t forget to register today for TWIMLcon! Beyond keynote interviews like Andrew Ng, Hussein Mehanna and Fran Bell, we’ve got a bunch of interesting speakers lined up to share their successes and failures helping their organizations build and productionalize ML and deep learning models. Check out the lineup: http://twimlcon.com/

Meetup Update!

Many of you are aware that we’ve been hosting a couple of paper-reading meetups in conjunction with the podcast. I’m excited to share that Matt Kenney, Duke staff researcher and long-time listener and friend of the show, has stepped up to help take this group to the next level. The paper reading meetup will now be meeting every other Sunday at 1 PM Eastern Time to dissect the latest and greatest academic research papers in ML and AI. If you want to take your understanding of the field to the next level, check twimlai.com/meetup for more upcoming community events.

We’ve also got a couple of study groups currently running, one working through the fast.ai Deep Learning from the Foundations course, another on fast.ai [Natural Language Processing] (https://www.fast.ai/2019/07/08/fastai-nlp/), and another working through the Stanford cs224n Deep Learning for Natural Language Processing course. These study groups just started and will be working on these courses through October and November, so it’s not too late to join. Sign up on the meetup page at twimlai.com/meetup.

Check it out

“More On That Later” by Lee Rosevere licensed under CC By 4.0

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