What is AI? We made this to assist.

Defining what is, or isn’t synthetic intelligence might be difficult (or powerful). So a lot so, even the specialists get it unsuitable typically. That’s why MIT Technology Review’s Senior AI Reporter Karen Hao created a flowchart to clarify all of it. In this bonus content material our Host Jennifer Strong and her group reimagine Hao’s reporting, gamifying it into an audio postcard of kinds. 

Credits:

This episode was reported by Karen Hao. It was tailored for audio and produced by Jennifer Strong and Emma Cillekens. The voices you heard had been Emma Cillekens, in addition to Eric Mongeon and Kyle Thomas Hemingway from our artwork group. We’re edited by Michael Reilly and Niall Firth.

Transcript:

Strong: Hi there… I’m Jennifer Strong, senior editor for stay journalism, podcasts and host of the collection, In Machines We Trust.

Hao: And I’m Karen Hao, Tech Review’s senior reporter overlaying synthetic intelligence. 

Strong: We’re on the greatest convention of the 12 months for our newsroom diving into tendencies in rising expertise – it’s referred to as EmTech.

Hao: But don’t fear, We aren’t going to depart you empty handed.

Strong: No, by no means. Thank you a lot for being right here and as a manner to present our appreciation, we made you somewhat reward. 

Hao: Some time again I drew one thing to assist make sense of a very primary query, so primary, and but… so necessary. We return to it consistently in our work to attempt to be certain that we’re all on the identical web page.

Strong: Karen’s drawing helps us tease out whether or not one thing truly entails synthetic intelligence.

Hao: That’s as a result of it’s complicated! Even to specialists. Companies claiming to use AI additionally fail this take a look at extra typically than you would possibly suppose.

Strong: Problem is, you’ll be able to’t see me holding it up proper now. And so, as a substitute, we’ve gamified it into what I consider as an audio postcard.

Hao: Yes, it’s an exquisite audio postcard. Have enjoyable! 

Cillekens: Ladies and gents… “Welcome to ‘This is AI”!

[Music]

Players will ask questions that get to the bottom of what it is or isn’t AI. And I’ve introduced alongside an “assistant” to assist out with the solutions.

Voice Assistant: Hello. 

Cillekens: Hello, Alexa. And simply so we’re all on the identical web page… Artificial Intelligence… in its broadest sense refers to machines that may be taught, purpose, and act for themselves. They could make their very own choices when confronted with new conditions, very like people and animals do. This bell…

[Bell ding to indicate correct answer]

…means appropriately recognized AI… and this buzzer…

[Buzzer to indicate false answer]

Well, not a lot. Ok. So, let’s take a look at your information.. Ready… set… participant one, go!

Mongeon: Can ‘it’ see?

Voice Assistant: Yes

Mongeon: Can it establish what it sees?

Voice Assistant: No

[Buzzer to indicate false answer]

Cillekens: Ok, in order that’s only a digicam.

Mongeon:…okay okay… however what if it can establish what it sees? 

[Bell ding to indicate correct answer]

Cillekens: Yep – that’s pc imaginative and prescient and picture processing. Player two!

Hemingway: Can it hear?

Voice Assistant: Yes

Hemingway: Does it reply in a helpful, wise manner to what it hears?

Voice Assistant: Yes 

[Bell ding to indicate correct answer]

Cillekens: So, that’s N-L-P – pure language processing. The aim of this type of A-I is to assist computer systems make sense of human languages in a manner that’s helpful. But..????. what if it doesn’t reply in a helpful, wise was to what it hears… Could that even be A-I?

Hemingway: If it is transcribing what you say? 

[Bell ding to indicate correct answer]

Cillekens: That’s additionally A-I — it’s speech recognition…// which is comparable however working from the spoken phrase as a substitute of textual content. New spherical of questions! Player 1.

Mongeon: Can it learn?

Voice Assistant: Yes

Mongeon: Is it studying what you sort?

Voice Assistant: No

Mongeon: Is it studying passages of textual content? 

Voice Assistant: Yes

Mongeon: Is it analyzing the textual content for patterns?

Voice Assistant: Yes

[Bell ding to indicate correct answer]

Cillekens: Once once more that’s N-L-P – pure language processing. Well completed! 

Hemingway: I’ll take that very same query once more. Can it learn?

Voice Assistant: Yes

Hemingway: Is it studying what you sort?

Voice Assistant: Yes

Hemingway: Does it reply in a smart, helpful manner? 

Voice Assistant: Yes

[Bell ding to indicate correct answer]

Cillekens: Ok – that’s additionally N-L-P – pure language processing. New query please participant 1.

Mongeon: Can it purpose?

Voice Assistant: Yes

Mongeon: Is it searching for patterns in huge quantities of information? 

Voice Assistant: Yes

Mongeon: Is it utilizing these patterns to make choices?

Cillekens: Well, if not, that feels like math…. 

Mongeon: But if it is utilizing patterns to make choices?

Voice Assistant: Yes

[Bell ding to indicate correct answer]

Cillekens: Then that’s machine studying – which is when a machine learns by way of expertise. Final spherical!

Hemingway: Can it transfer?

Voice Assistant: Yes

Hemingway: By itself, with out assist?

Voice Assistant: Yes

Hemingway: Does it transfer based mostly on what it sees and hears? 

Voice Assistant: Yes

Hemingway: Are you positive it’s not simply shifting alongside a pre-programmed path?

Voice Assistant: Hmmm. I’m undecided.

Cillekens: Very humorous… but when so, that’s only a bot.

[Buzzer to indicate false answer]

Hemingway: Ok, let’s attempt that once more. Is it shifting alongside a pre-programmed path?

Voice Assistant: No.

[Bell ding to indicate correct answer]

Cillekens: Ok, in order that’s a sensible robotic, that means one which’s utilizing A-I to make a few of its personal choices. Great….And that’s the sport. Thanks for enjoying!

[Music]

Strong: We’re going to take a brief break – however first, I would like to recommend one other present I feel you may like. Brave New Planet weighs the professionals and cons of a variety of highly effective improvements in science and tech. Dr. Eric Lander, who directs the Broad Institute of MIT and Harvard, explores onerous questions like…

Lander: Should we alter the Earth’s environment to stop local weather change? And can fact and democracy survive the affect of deepfakes? 

Strong: Brave New Planet is from Pushkin industries. You can discover it wherever you get your podcasts. We’ll be again proper after this.

[Advertisement]

Strong: Welcome again to this bonus episode of In Machines We Trust. We’re at our EmTech Conference this week… and so as a substitute of coming to you with a daily episode… we made one thing enjoyable that hopefully helps clear up some confusion round what is or isn’t A-I…

Hao: And for those who’d like to see what it appears like on paper, you’ll be able to try my drawing. It’s referred to as “What is A-I” at Technology Review dot com.

Strong: In the meantime, Karen and I are going to put our heads collectively and pick one thing to play for you from the convention… so preserve a watch out for that.

Hao: We’re additionally engaged on one other quick collection in regards to the some ways facial recognition is utilized in issues like retail and sports activities… we hope you’ll be part of us

[Music]

Strong: Many thanks to the gifted voices in this episode — together with our producer, Emma Cillekens, and our artwork group — Eric Mongeon and Kyle Thomas Hemingway. Which, by the best way, for those who like our cowl artwork you simply heard the oldsters who made it. Karen Hao did the reporting and it was tailored by me, Jennifer Strong. Our editors are Michael Reilly and Niall Firth.  

Hao: Tell us what you suppose. Love it? Hate it? Have solutions for what you’d like to hear subsequent? Please ship us suggestions to podcasts at expertise evaluation dot com. 

[TR ID]

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