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Episode 5  |  20:40 min

Episode 118: The Business Case for Deep Fakes with Descript's Kundan Kumar

Episode 5  |  20:40 min  |  04.23.2020

Episode 118: The Business Case for Deep Fakes with Descript's Kundan Kumar

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This is a podcast episode titled, Episode 118: The Business Case for Deep Fakes with Descript's Kundan Kumar. The summary for this episode is: <p>Deep Fakes are incredibly realistic impersonations that blur the line between truth and fiction. So what happens when the tech to make them is available to everyone? We’re about to find out.</p> <p>Kundan Kumar is our guest on this episode of the <a href= "https://www.georgianpartners.com/the-impact-podcast/">Georgian Impact Podcast</a>. He is co-founder of Lyrebird AI, and now heads up research at Descript. Descript is making it vastly easier for anyone to manipulate audio, even to the point of inserting words that were never actually said. This brings up obvious ethical, trust, and security questions. Fortunately that’s something Kundan and the company are putting a lot of thought into.</p> <p><strong>You’ll hear about:</strong></p> <ul> <li>How anyone can create a voice-double, and the <a href= "https://www.descript.com/ethics">ethical questions</a> that raises.</li> <li>Automating common audio editing tasks like removing ums and ah, and bleeping swear words.</li> <li>Georgian’s podcast production workflow – and how we manipulate what you hear.</li> <li>How these new technologies are, in many ways, evolutions of exiting machine-assistance features like auto-correct, and <a href= "https://www.newyorker.com/magazine/2019/10/14/can-a-machine-learn-to-write-for-the-new-yorker"> Google’s Smart Compose</a></li> <li>Maintaining trust when trickery is effortless and skepticism is ubiquitous.</li> </ul> <p><strong> </strong></p> <p><strong>Who is Kundan Kumar?</strong></p> <p><a href="https://twitter.com/kundan2510">Kundan Kumar</a> is Research Lead at <a href="https://www.descript.com">Descript</a> and co-founder of Lyrebird AI. He is a PHd student at <a href= "https://mila.quebec/en/mila/">Mila</a>, Quebec’s artificial intelligence institute, where he works on generative models for sequences e.g. speech and music.</p>
Takeaway 1 | 00:51 MIN
Robot Jon Prial Introduces the Show: Take a listen - it's pretty convincing. 🤖
Takeaway 2 | 00:14 MIN
With Descript's overdub, you can create a voice double so there's less back and forth to the studio. 🌟
Takeaway 3 | 01:14 MIN
Is this new deep fake technology any different than stunt doubles or CGI? 🤔
Takeaway 4 | 01:03 MIN
What are the ethics of cloning someone's voice?! Descript is leading the thinking in this area. 👏
Takeaway 5 | 00:06 MIN
Jon on the experience of creating his own voice double!
Takeaway 6 | 00:21 MIN
A new workflow for using voice clones with trust at its core. 👏🎧

Deep Fakes are incredibly realistic impersonations that blur the line between truth and fiction. So what happens when the tech to make them is available to everyone? We’re about to find out.

Kundan Kumar is our guest on this episode of the Georgian Impact Podcast. He is co-founder of Lyrebird AI, and now heads up research at Descript. Descript is making it vastly easier for anyone to manipulate audio, even to the point of inserting words that were never actually said. This brings up obvious ethical, trust, and security questions. Fortunately that’s something Kundan and the company are putting a lot of thought into.

You’ll hear about:

  • How anyone can create a voice-double, and the ethical questions that raises.
  • Automating common audio editing tasks like removing ums and ah, and bleeping swear words.
  • Georgian’s podcast production workflow – and how we manipulate what you hear.
  • How these new technologies are, in many ways, evolutions of exiting machine-assistance features like auto-correct, and Google’s Smart Compose
  • Maintaining trust when trickery is effortless and skepticism is ubiquitous.

 

Who is Kundan Kumar?

Kundan Kumar is Research Lead at Descript and co-founder of Lyrebird AI. He is a PHd student at Mila, Quebec’s artificial intelligence institute, where he works on generative models for sequences e.g. speech and music.

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