Approximately Correct: An AI Podcast from Amii

Publicly listed emails

marketing@amii.ca

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Can Robots Learn to Read the Room? With Angelica Lim | Approximately Correct Podcast

September 15, 2026

How do you build a robot that had empathy?On this episode of Approximately Correct, Amii Canada CIFAR AI Chair Angelica Lim joins hosts Alona Fyshe and Scott Lilwall to discuss the complex world of social robotics. As the director of the ROSIE Lab at Simon Fraser University, Lim is focused on making robots friendlier, more fun, and more useful, allowing them to interact with humans more effectively and react to our social cues. She dives into the challenges of adding empathy to artificial int...

How AI is Transforming Cancer Care with Amber Simpson | Approximately Correct Podcast

August 27, 2026

There are all kinds of big promises about how artificial intelligence will change everything. But there's a very real transformation quietly happening in healthcare that is happening just under the surface. In this episode of Approximately Correct, hosts Alona Fyshe and Scott Lilwall sit down with Amii Fellow and Canada CIFAR AI Chair Dr. Amber Simpson to explore how machine learning is making a tangible difference in cancer detection, research and everyday medicine.Approximately Correct:...

What AI can teach us about how our brains map our world, with Quinn Lee and Marlos C. Machado | Approximately Correct Podcast

July 21, 2026

How do we know where we are, and where we are going?While we use our eyes to take in the information, it is our brains that are doing the heavy computing as we navigate the world. Now, new research using machine learning models is perhaps giving us a glimpse into what is going on inside our minds, and how the cells needed to navigate the world might form. On this episode of Approximately Correct, we are joined by two Amii Fellows and Canada CIFAR AI Chairs — Marlos C. Machado and Quinn Lee — ...

Machine Ethics Podcast episodes · Medium booking difficulty · 100 - 1,000 listeners

Vanishing Gradients · Medium booking difficulty · 100 - 1,000 listeners

The Human Protocol · Medium booking difficulty · 100 - 1,000 listeners

The Atomic Exchange Podcast · Medium booking difficulty · 100 - 1,000 listeners

Spark of Ages · Medium booking difficulty · 100 - 1,000 listeners

How do I get in touch with Approximately Correct: An AI Podcast from Amii?

Its publicly listed email is marketing@amii.ca. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Approximately Correct: An AI Podcast from Amii?

The publicly listed email for Approximately Correct: An AI Podcast from Amii: marketing@amii.ca.

How many listeners does Approximately Correct: An AI Podcast from Amii have?

Podseeker estimates Approximately Correct: An AI Podcast from Amii reaches 100 to 1,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Approximately Correct: An AI Podcast from Amii?

Approximately Correct: An AI Podcast from Amii typically books industry leaders. Typical guest background: Recognized artificial intelligence or machine learning researchers, interdisciplinary academics, Canada CIFAR AI Chairs, Amii Fellows, and leaders responsible for significant AI initiatives or events. Common among recent guests: Leading academic or applied AI research; Holding a prominent research chair or fellowship; Advancing interdisciplinary work connecting AI with another field. Recent guests include Marlos C. Machado, Quinn Lee, and Kevin Leyton-Brown.

How hard is it to get booked on Approximately Correct: An AI Podcast from Amii?

High. It mostly books established leaders in its field.

What topics does Approximately Correct: An AI Podcast from Amii cover?

Recent episodes cover Artificial Intelligence, Machine Learning, Ai Research, Technology, and Innovation. Pitch an idea tied to one of these topics and mention a recent episode.