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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 [email protected]
Brought to you by Aneekah Uddin, Adam Lindquist, Mac McMahon, and the rest of the AI4A team.
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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
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Race After Technology by Ruha BenjaminInterview 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 [email protected]
Brought to you by Adam Lindquist, Aneekah Uddin, Mac McMahon and the rest of the AI4A team
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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-ThatNews 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 [email protected]
Brought to you by Adam Lindquist, Aneekah Uddin, Francisco Nawrath, Mac McMahon, and the rest of the AI4A team
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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.
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Experiment with GPT-Neo, an open-source version of GPT-3 straight from your browserJoin 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 [email protected]
Brought to you by Jacky Zhao, Mac McMahon, Serena Chao, William Overton and the rest of the AI4A team
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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/podcastsend us your feedback and guest recos here!email us (your friends) at [email protected]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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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.
TwitterLinkedIn— Links —
Yes! Machine Learning Is Fun!Andrew Ng’s intro to AI on Coursera: AI For EveryoneNext, consider taking his Machine Learning course as well!Big Tech AI Blogs: Facebook, Microsoft, Google, AppleOpen 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/podcastsend us your feedback and guest recos here!email your friends at [email protected]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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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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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!
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Learn AI in 60 Minutes | An introduction to artificial intelligenceAI in Healthcare 101 | How AI is being used in the healthcare industryJobs 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 [email protected]
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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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 an AI activist who is the Technology Director at S.T.O.P., an organisation fighting surveillance from a policy perspective, and co-founder and vice president of commercial operations at Arthur AI, an AI model monitoring startup.
TwitterArthur AIS.T.O.P.: Surveillance Technology Oversight Project— Links —
Tech Inquiry, ACLU, Tech Workers Coalition - a few organisations to help tackle abuses in the tech industryStart with Rachel Thomas’ articles and talks to understand how cool AI is, and what happens when it messes up.— 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 [email protected]
Brought to you by Haroon Choudery (@haroonchoudery), Mac McMahon, Serena Chao (@coriils), Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team
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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 from Carnegie Mellon University who is now working at Google.
LinkedIn: Matt Barnes— Links —
CNBC article featuring the founders of A.I. for AnyoneAI Teaches Itself Go in 24 Hours, Defeats World ChampionLearn AI in 60 Minutes— 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 [email protected]
Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the wider AI4A team
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“To achieve true diversity within the technology sector, we need to fundamentally change what it means to be a technologist.” Sidney Madison Prescott grounds us to better understand who we’re missing in our current picture, the importance of mentors who can help you position your value, and how firms should approach implementing cognitive automation.
Subscribe for episodes to unravel the potential of AI every other Thursday!
— Guest: Sidney Madison Prescott —
Sidney Madison Prescott is a Global Intelligent Automation Leader (RPA, ML, AI) at Spotify who is based in New York City.
LinkedIn: Sidney Madison PrescottTwitter: @sidneyinthecity— Links —
Revel in the mantra behind Chief, a private network focused on connecting and supporting women leaders How Sidney stays inspired and finds work-life balance throughout the pandemic— 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 [email protected]
Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the wider AI4A team
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The ultimate engineering challenge - to build a machine that can build something else, that is what Professor Hod Lipson is after. He describes roboticists as reincarnations of ancient alchemists who are working to breathe life into matter, exploring self-awareness, and participating in a quest to understand what it means to be human.
AI For You is now on your favourite podcast app including Apple Podcasts, Spotify, Google Podcasts, and more! Subscribe for episodes to continue sailing West on every other Thursday!
— Guest: Hod Lipson —
Hod Lipson is a Columbia University professor, author and entrepreneur who works in the areas of robotics and artificial intelligence.
Creative Machines LabTED Talk: Building self-aware robotsAward winning book “Fabricated” on 3D Printing, and “Driverless” on Autonomous cars— Links —
Merging the world of creativity and imagination with robotics and AICurious About Consciousness? Ask the Self-Aware MachinesDo You Trust This Computer?Why robots are being trained in self-awareness— 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 [email protected]
Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team
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Welcome to AI For You, a podcast hosted by A.I. for Anyone, a non-profit dedicated to helping you learn about AI.
2020 has been a big year for us from online webinars to launching this podcast! We’re always looking for ways to share the latest and greatest from the world of AI in a way that’s easy to understand and follow. Tune in as we explore the boundless reach of AI, how society is adapting - and resisting, and what your role could be in an increasingly automated world.
Subscribe for episodes on every other Thursday starting July 2!
— A.I. For Anyone —
Find us on Instagram, Twitter, Facebook, LinkedIn and YouTube at @aiforanyone
& check us out at aiforanyone.org/
& email your friends at [email protected]Brought to you by: Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team
