Podcast: What's AI? We made this radio play to relieve. thumbnail

Defining what’s, or isn’t synthetic intelligence is liable to be tricky (or refined). A lot so, even the consultants salvage it immoral typically. That’s why MIT Technology Evaluate’s Senior AI Editor Karen Hao created a flowchart to cover it all. In this bonus speak our host and her crew reimagined Hao’s authentic reporting, gamifying it into a radio play. 

Credit: 

This episode was once reported by Karen Hao. It was once adapted for audio and produced by Jennifer Stable and Emma Cillekens. The voices you hear are Emma Cillekens, to boot to Eric Mongeon and Kyle Thomas Hemingway from our art work crew. We’re edited by Michael Reilly and Niall Firth. 

Plump transcript:

[:15 pre-roll]

[TR ID]

Jennifer: Hi there. I’m Jennifer Stable… host of In Machines We Trust

Defining what’s, or isn’t synthetic intelligence fundamentally is a minute bit refined. A lot so, that even the consultants salvage it immoral typically. That’s why Tech Evaluate’s senior AI editor Karen Hao created a flowchart to cover it… and together, we grew to change into into this subsequent episode… It’s silly. It’s relaxing. And we hope it helps.

I are also attempting to reveal you about one thing if fact be told particular we’ve been working on for greater than a year. It’s known as The Extortion Financial system. It’s a temporary podcast collection referring to the ransomware epidemic produced in collaboration with ProPublica. And It’s accessible now wherever you’re fervent on to listen.

[Show ID]

Emma Cilikens: Ladies and gentlemen… Welcome to ‘That is AI’…  

Gamers will demand questions that unravel what it’s… or isn’t… AI … And… I’ve brought along an “assistant” to relieve out with the solutions…  

Reveal assistant: Hey. 

Emma Cilikens: Hey, Alexa. 

Emma Cilikens: And factual so we’re all on the same web page… Artificial Intelligence… in its broadest sense refers to machines that will likely well be taught, motive, and act for themselves. They’ll originate their very procure choices when faced with fresh cases, a lot like humans and animals construct. 

Emma Cilikens: Now this bell… [SOT: ding] …intention accurately identified AI… and this buzzer… [SOT: buzzer, crowd sigh] Smartly… now not quite a bit. 

Emma Cilikens: Ok. So, let’s test your recordsdata.. Ready… space… participant one, trudge! ..

Eric Mongeon: Can ‘it’ be taught about…

Reveal assistant: Certain.

Eric Mongeon: Can it title what it sees…

Reveal assistant: No …[SOT: buzzer]

 Emma Cilikens: Ok, so that’s factual a camera…

Eric Mongeon: good ample good ample… however what if it can title what it sees? 

[SOT: ding, ding, ding]

Emma Cilikens: Yep – that’s computer imaginative and prescient and image processing. Player two!

Kyle Thomas Hemingway: Can it hear…

Reveal assistant: Certain

Kyle Thomas Hemingway: Does it acknowledge in a functional, vivid manner to what it hears?

Reveal assistant: Certain 

[SOT: DING DING DING]

Emma Cilikens: So, that’s NLP—natural language processing.

The aim of this more or much less AI is to relieve computers originate sense of human languages in a manner that’s functional. 

However what if it doesn’t acknowledge in a functional, vivid manner to what it hears. Could that even be AI?

Kyle Thomas Hemingway: If it’s transcribing what you shriek… 

[SOT: bell ding, ding, ding]

Emma Cilikens: Certain! That’s also AI—it’s speech recognition, which is linked however working from the spoken be conscious as a replacement of text. Unusual spherical of questions! Player 1.

Eric Mongeon: Can it read?

Reveal assistant: Certain

Eric Mongeon: Is it reading what you form?

Reveal assistant: No

Eric Mongeon: Is it reading passages of text? 

Reveal assistant: Certain

Eric Mongeon: Is it inspecting the text for patterns?

Reveal assistant: Certain

[SOT: ding, ding, ding]

Emma Cilikens: Certain, once all all over again that’s NLP—natural language processing. Smartly done! 

Kyle Thomas Hemingway: I’ll occupy that same search recordsdata from all all over again – Can it read?

Reveal assistant: Certain

Kyle Thomas Hemingway: Is it reading what you form?

Reveal assistant: : Certain

Kyle Thomas Hemingway: Does it acknowledge in a supreme, functional manner? 

Reveal assistant: Certain

[SOT: ding, ding, ding]

Emma Cilikens: That’s also NLP—natural language processing. Unusual search recordsdata from please participant 1.

Eric Mongeon: Can it motive?

Reveal assistant: Certain

Eric Mongeon: Is it having a be taught about for patterns in large amounts of recordsdata? 

Reveal assistant: Certain

Eric Mongeon: Is it the utilization of these patterns to originate choices?

Emma Cilikens: Smartly, if now not, that appears like math…. 

Eric Mongeon: However if it’s a ways the utilization of patterns to originate choices?

Reveal assistant: Certain

[SOT: ding, ding, ding]

Emma Cilikens: Then that’s machine studying—which is when a machine learns via abilities. Ok. Final spherical!

Kyle Thomas Hemingway: Can it trudge?

Reveal assistant: Certain.

[SOT: ding, ding, ding]

Kyle Thomas Hemingway: By itself, with out relieve?

Reveal assistant: Certain.

[SOT: ding, ding, ding]

Kyle Thomas Hemingway: Does it trudge per what it sees and hears? 

Reveal assistant: Certain.

 [SOT: ding, ding, ding]

Kyle Thomas Hemingway: Are you sure it’s now not factual intriguing along a pre-programmed direction?

Reveal assistant: [Alexa] Hmmm. I’m unsure.

Emma Cilikens: Very comic… however if that is the case, that’s factual a bot.

[SOT: buzzer, crowd sigh]

Kyle Thomas Hemingway: Ok, let’s strive that all all over again. Is it intriguing along a pre-programmed direction?

Reveal assistant: No.

[SOT: ding, ding, ding]

Emma Cilikens: Ok, so that’s a orderly robotic, that intention one that’s the utilization of AI to originate a few of its procure choices.

Huge….

And that’s the game.

Thanks for playing!

[Music up full]

Jennifer: We’ll be encourage – appropriate after this.

[MIDROLL]

[MUSIC]

Jennifer: Many resulting from the gifted voices on this episode—including our producer, Emma Cillekens, with Eric Mongeon and Kyle Thomas Hemingway. The editors are Michael Reilly and Niall Firth.

Thanks for listening… I’m Jennifer Stable.

[Post Roll: TR ID]

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