Where do we go from here? Today we dive into how to address the harm that comes from facial recognition technology, by asking lots of different experts from our past episodes. They talk about current regulations and systems of power surrounding the technology. Subscribe for episodes every other Thursday! — Guests: Darren Byler, Jameson Spivack, Ella Jakubowska, Vic Harkness, and Hellen Wu — Darren Byler is an Anthropologist and incoming professor at Simon Fraser University who focuses on Uyghur dispossession, infrastructural power, and "terror capitalism." Jameson Spivack is an Associate at Ge ..read more

What if facial recognition causes more harm than help? We dive into the bias embedded in facial recognition technology itself and the bias in the use of these tools by law enforcement and the government through stories, conversations, and lots of research. Subscribe for episodes every other Thursday! — Guests: Darren Byler, Jameson Spivack, and Ella Jakubowska — Darren Byler is an Anthropologist and incoming professor at Simon Fraser University who focuses on Uyghur dispossession, infrastructural power, and "terror capitalism." Jameson Spivack is an Associate at Georgetown Law Center on Privac ..read more

How can a camera and a few lines of code identify who we are? On the show, we dive into facial recognition, how it works (neural networks and all that jazz), and how/why it's being used in the US and China, especially by the government and police. Subscribe for episodes every other Thursday! — Guests: Vic Harkness, Sargeant Jason Webb, Hellen Wu— Vic Harkness is a security researcher at F-Secure, based in the South of England. (LinkedIn / Twitter) Sargeant Jason Webb is an intelligence officer and Sargeant in Oxford, Alabama, who uses Clearview AI. Hellen Wu is Chinese American and has encount ..read more

GPT-3 is a language model — a tool that is impressively generates synthetic text when given something to start with. We talk with Zack from Copy AI and Akshay from Georgian about how they currently use GPT-3 at work, what it's good at, and what we should watch out for. Subscribe for episodes every other Thursday! — Guests: Zack Lee and Akshay Budhkar — Zack Lee is currently the lead AI engineer at Copy AI where he manages how GPT-3 powers their product. He's interested in deep learning tech and NLP and currently lives in Brooklyn, NY with his 3 cats. Akshay Budhkar is an applied research scien ..read more

Welcome back to AI For You, a podcast hosted by AI for Anyone — a non-profit dedicated to helping anyone learn about artificial intelligence. Season 2 is all about the deep dives. This season, we're focusing on the intersection of AI with other fields. You'll hear from us on exciting topics like Facial Recognition, GPT-3, Education, and Music - just to name a few. We dive into how AI impacts our communities, where AI is currently at, and we give you the tools to think about your relationship with AI. Listen along to conversations with experts, open-ended discussions, and more as we get to know ..read more

Abhishek Mathur highlights how critical it is to approach the field of AI with a holistic lens - in the training data, the applications, and the team behind it. He also discusses the increasing need for AI ethicists, his transition from consulting into product, and the varying skillsets and roles needed in the AI industry that expand beyond technical development.  Subscribe for episodes every other Thursday! — Guest: Abhishek Mathur —  Abhishek is a product management leader, an artificial intelligence practitioner, and an educator. He has led product management and engineering teams ..read more

Henry Zhang joins Mac in conversations about his past AI-related projects throughout his undergraduate career which includes the human element in AI and how AI is used as a safety mechanism on YouTube. As a recent grad, Henry also shares how he found his way into the AI space, and how you can find yours. Subscribe for episodes every other Thursday! — Guest: Henry Zhang —  With a degree in robotics engineering, Henry pursued AI internships at Google and Bloomberg, as well as research opportunities in data integration and deep reinforcement learning. At Google, Henry leveraged natural learn ..read more

We’ve heard from experts and industry leaders about how computer vision is applied to self-driving cars and the implications of bias in AI. But let's go back to the basics first. For a foundation to artificial intelligence, we take inspiration from our successful Intro to AI workshop with the Mark Cuban Foundation to bring you this bonus episode today. Subscribe for episodes every other Thursday! We’ll be back with interviews next time! — Links —  Learn AI in 60 Minutes | An introduction to artificial intelligence AI in Healthcare 101 | How AI is being used in the healthcare industry Job ..read more

What would you do if your company crossed ethical lines? Liz O’Sullivan tells her transformational moment of speaking up for the need for human oversight that has pushed her work to focus on fairness and transparency in AI today and tomorrow. Among a deep discussion of the implications of bias, the importance of transparency, and the responsibility of the individual, they highlight how our pursuits of innovation can and should thrive but only in a way that doesn’t put our planet at risk.   Subscribe for episodes every other Thursday! — Guest: Liz O’Sullivan —  Liz O’Sullivan is ..read more

What’s the relationship between robotics and machine learning? Pulling from an impressive set of projects, Matt first helps us understand a few basics in this field including reinforcement learning and computer vision. Matt shares about his PhD project that helped combat human trafficking, sheds some light around the "what ifs" around self-driving cars, and how mechanical engineering led him to machine learning. Subscribe for episodes to unravel the potential of AI every other Thursday! — Guest: Matt Barnes —  Matt Barnes is an applied machine learning scientist with a PhD in robotics fro ..read more