Podcast: What is AI? We made this radio play to help.

Determining what AI is or isn’t can be tricky (or tricky). So much so that experts sometimes get it wrong. That’s why Karen Howe, senior AI editor for the MIT Technology Review, created a flowchart to explain it all. In this additional content, our host and team have reimagined Hao’s original reporting, turning them into a radio play.

Credits:

This episode was mentioned by Karen Howe. Adapted for sound and produced by Jennifer Strong and Emma Cillekens. The voices you hear are Emma Cillekens, as well as Eric Mongeon and Kyle Thomas Hemingway from our art team. Edited by Michael Riley and Niall Firth.

full copy:

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[TR ID]

Jennifer: Hello. I’m Jennifer Strong…hostess In the machines we trust.

Determining what is or isn’t AI can be a little tricky. So much so that experts sometimes get it wrong. That’s why Karen Howe, Senior AI Editor at Tech Review, created a flowchart to explain it…and together, we’re on to the next episode…it’s ridiculous. it is fun. We hope it helps.

I also want to tell you about something really special that we’ve been working on for over a year. it’s called extortion economy. It is a short podcast series about the ransomware epidemic produced in collaboration with ProPublica. It’s now available anywhere you want to listen.

[Show ID]

Emma Selikins: Ladies and gentlemen… Welcome to This Is Artificial Intelligence…

Players will ask questions that really get down to what it is…or isn’t…artificial intelligence…and…you’ve brought in an “assistant” to help out with the answers…

Voice assistant: Hello.

Emma Selikins: Hi Alexa.

Emma Selikins: And so we are all on the same page…Artificial intelligence…in its broadest sense refers to machines that can learn, think, and act for themselves. They can make their own decisions when faced with new situations, much like humans and animals do.

Emma Selikins: Now that bell… [SOT: ding] … means correctly selected artificial intelligence … and this bell … [SOT: buzzer, crowd sigh] Well… not much.

Emma Selikins: Yes. So, let’s test your knowledge..ready…put…single player, go! ..

Eric Mongeon: He can see…

Voice assistant: Yes really.

Eric Mongeon: You can define what you see…

Voice assistant: No …[SOT: buzzer]

Emma Selikins: Well, this is just a camera…

Eric Mongeon: ok ok…but what if can Determine what you see?

[SOT: ding, ding, ding]

Emma Selikins: Yes – this is computer vision and image processing. The second player!

Kyle Thomas Hemingway: do you hear …

Voice assistant: Yes

Kyle Thomas Hemingway: Do you respond in a meaningful and useful way to what you hear?

Voice assistant: Yes

[SOT: DING DING DING]

Emma Selikins: So, this is NLP – Natural Language Processing.

The goal of this type of AI is to help computers understand human languages ​​in a useful way.

But what if No He responds in a useful and reasonable manner to what he hears. Could that also be artificial intelligence?

Kyle Thomas Hemingway: If it comes to copying what you’re saying…

[SOT: bell ding, ding, ding]

Emma Selikins: Yes! This is also AI – it’s speech recognition, which is similar but works from the spoken word rather than the text. New round of questions! Player 1.

Eric Mongeon: can you read

Voice assistant: Yes

Eric Mongeon: Do you read what you write?

Voice assistant: No

Eric Mongeon: Is it reading passages of text?

Voice assistant: Yes

Eric Mongeon: Is the text parsed for patterns?

Voice assistant: Yes

[SOT: ding, ding, ding]

Emma Selikins: Yes, again this is natural language processing – natural language processing. I did well!

Kyle Thomas Hemingway: I’ll take the same question again – can it be read?

Voice assistant: Yes

Kyle Thomas Hemingway: Do you read what you write?

Voice assistant:: Yes

Kyle Thomas Hemingway: Do you respond in a reasonable and helpful manner?

Voice assistant: Yes

[SOT: ding, ding, ding]

Emma Selikins: This is also NLP – Natural Language Processing. New question please player 1.

Eric Mongeon: Could it be the reason?

Voice assistant: Yes

Eric Mongeon: Looking for patterns with massive amounts of data?

Voice assistant: Yes

Eric Mongeon: Are these patterns used to make decisions?

Emma Selikins: Well, if not, it sounds like math….

Eric Mongeon: But if patterns are used in making decisions?

Voice assistant: Yes

[SOT: ding, ding, ding]

Emma Selikins: And then that’s machine learning — which is when a machine learns through experience. Yes. The final round!

Kyle Thomas Hemingway: Can you move?

Voice assistant: Yes really.

[SOT: ding, ding, ding]

Kyle Thomas Hemingway: By itself, without help?

Voice assistant: Yes really.

[SOT: ding, ding, ding]

Kyle Thomas Hemingway: Does it move based on what it sees and hears?

Voice assistant: Yes really.

[SOT: ding, ding, ding]

Kyle Thomas Hemingway: Are you sure it doesn’t just move along a preprogrammed path?

Voice assistant: [Alexa] nations. I’m not sure.

Emma Selikins: Pretty funny…but if that’s the case, it’s just a bot.

[SOT: buzzer, crowd sigh]

Kyle Thomas Hemingway: Well, let’s try it again. Are you moving on a pre-programmed path?

Voice assistant: No.

[SOT: ding, ding, ding]

Emma Selikins: Well, this is an intelligent robot, in the sense that it uses artificial intelligence to make some of its own decisions.

amazing….

This is the game.

thanks for playing!

[Music up full]

Jennifer: We will be back – right after that.

[MIDROLL]

[MUSIC]

Jennifer: Many thanks to the talented voices on this episode – including our Producer Emma Selikins with Eric Mongeon and Kyle Thomas Hemingway. The editors are Michael Riley and Niall Firth.

Thanks for listening… I’m Jennifer Strong.

[Post Roll: TR ID]

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