エピソード

  • Facial Recognition: Where do we go from here?
    2021/06/24

    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 Georgetown Law Center on Privacy and Technology focused on the use of algorithmic technologies like face recognition, predictive policing, and risk assessment in the criminal legal system

    Ella Jakubowska is a Policy Advisor at European Digital Rights with a strong focus on facial recognition, biometrics, and fundamental rights

    Vic Harkness is a security researcher at F-Secure, based in the South of England.

    Hellen Wu is Chinese American and has encountered facial recognition in China.

    — A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  

    Find us on Instagram, Twitter, Facebook, LinkedIn, and YouTube at @aiforanyone

    & check us out at aiforanyone.org/

    & email your friends at podcast@aiforanyone.org

    Brought to you by Aneekah Uddin, Adam Lindquist, Mac McMahon, and the rest of the AI4A team.

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    33 分
  • Facial Recognition: What if it hurts more than it helps?
    2021/06/10

    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 Privacy and Technology focused on the use of algorithmic technologies like face recognition, predictive policing, and risk assessment in the criminal legal system

    Ella Jakubowska is a Policy Advisor at European Digital Rights with a strong focus on facial recognition, biometrics, and fundamental rights

    — Links —

    • Race After Technology by Ruha Benjamin
    • Interview with Joy Buolawmini

    — A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  

    Find us on Instagram, Twitter, Facebook, LinkedIn and YouTube at @aiforanyone

    & check us out at aiforanyone.org/

    & email your friends at podcast@aiforanyone.org

    Brought to you by Adam Lindquist, Aneekah Uddin, Mac McMahon and the rest of the AI4A team

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    32 分
  • Facial Recognition: From Bathrooms to Clearview AI to Jaywalking Cams
    2021/05/27

    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 encountered facial recognition in China.

    — Links —

    • CNN Video with Clearview CEO Hoan Ton-That
    • News Article about Missing Child in China

    — A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  

    Find us on Instagram, Twitter, Facebook, LinkedIn and YouTube at @aiforanyone

    & check us out at aiforanyone.org/

    & email your friends at podcast@aiforanyone.org

    Brought to you by Adam Lindquist, Aneekah Uddin, Francisco Nawrath, Mac McMahon, and the rest of the AI4A team

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    24 分
  • Why you should care about GPT-3
    2021/05/20

    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 scientist at Georgian and a member of the R&D team, where he focuses on engagements with portfolio companies, mainly in NLP. Akshay holds an MSc. in Computer Science at the University of Toronto, affiliated with the Vector Institute.

    — Links —

    • Experiment with GPT-Neo, an open-source version of GPT-3 straight from your browser
    • Join the waitlist to access GPT-3 by requesting on Open AI's website

    — A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  

    Find us on Instagram, Twitter, Facebook, LinkedIn and YouTube at @aiforanyone

    & check us out at aiforanyone.org/

    & email your friends at podcast@aiforanyone.org

    Brought to you by Jacky Zhao, Mac McMahon, Serena Chao, William Overton and the rest of the AI4A team

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    20 分
  • AI For You is Back!
    2021/05/06

    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 AI better as a friend that's here to stay.

    Subscribe for episodes every other Thursday!

    — A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —

    Find us on Instagram, Twitter, Facebook, LinkedIn and YouTube at @aiforanyone

    • check us out at aiforanyone.org/podcast
    • send us your feedback and guest recos here!
    • email us (your friends) at podcast@aiforanyone.org

    Special thanks to Ella Jukabowski, Sergeant Jason Webb, and Liz O'Sullivan. Brought to you by Mac McMahon, Adam Lindquist, Jacky Zhao (_jzhao), Serena Chao (@coriils), and the rest of the AI4A team

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    3 分
  • Viewing AI Through a Holistic Lens (with Abhishek Mathur)
    2020/10/02

    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 at Clarifai, IBM, and Kasisto, to build a variety of artificial intelligence applications within the space of computer vision, natural language processing, and recommendation systems. Abhishek enjoys having deep conversations about the future of technology, and helping aspiring product managers enter and accelerate their careers.

    • Twitter
    • LinkedIn

    — Links — 

    • Yes! Machine Learning Is Fun!
    • Andrew Ng’s intro to AI on Coursera: AI For Everyone
      • Next, consider taking his Machine Learning course as well!
    • Big Tech AI Blogs: Facebook, Microsoft, Google, Apple
    • Open AI’s GPT-3, the most powerful language model to date, can be used to design websites, write creative fiction, and more.

    — A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —

    Find us on Instagram, Twitter, Facebook, LinkedIn and YouTube at @aiforanyone

    • check us out at aiforanyone.org/podcast
    • send us your feedback and guest recos here!
    • email your friends at podcast@aiforanyone.org

    Brought to you by Haroon Choudery (@haroonchoudery), Mac McMahon, Serena Chao (@coriils), Nandana Yadla, Jacob Ludwig, and the rest of the AI4A team

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    57 分
  • The Human Element of AI (with Henry Zhang)
    2020/09/21

    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 learning processing (NLP) and active learning to make YouTube a safer place, and at Bloomberg, he researched NLP algorithms to understand news articles. Academically, Henry published an algorithm to allow for inferences across multiple data sources.

    — A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —

    Find us on Instagram, Twitter, Facebook, LinkedIn, and YouTube at @aiforanyone

    & check out our most recent feature on Penn State’s student blog

    & tell us who you want us to bring on the podcast and what you’d like to hear at aiforanyone.org/podcast

    Brought to you by Haroon Choudery (@haroonchoudery), Mac McMahon, Serena Chao (@coriils), Nandana Yadla, Jacob Ludwig, and the rest of the AI4A team

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    55 分
  • Intro to Artificial Intelligence (with A.I. For Anyone)
    2020/09/03

    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
    • Jobs in AI & Data Science | An overview of jobs in artificial intelligence and data science

    — A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —

    Find us on Instagram, Twitter, Facebook, LinkedIn and YouTube at @aiforanyone

    & check us out at aiforanyone.org/

    & email your friends at podcast@aiforanyone.org

    Brought to you by Haroon Choudery (@haroonchoudery), Mac McMahon, Serena Chao (@coriils), Kaira Villanueva, Nandana Yadla, Jacob Ludwig, Dimitryus Graziani, and the rest of the AI4A team

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    6 分