Harvard Data Science Review Podcast
Aug 31, 2026 · 29 min · 11 segments
This month’s episode of the *Harvard Data Science Review* Podcast turns the microphone on two people who regularly bring data science, machine learning, and AI to podcast audiences: Katie Malone, host…
Katie MaloneGuest
Jon KrohnGuest
Xiao-Li MengHostLiberty Vittert CapitoHost
So we already mentioned now every conversation seems you cannot avoid AI, and for mostly the right reasons.

So I want to start the part about how AI affects the podcast itself from the more kind of mechanical aspect, like the use of AI in production.

from research to guest preparation to editing, transcripts, promotion, translations, whatever it is, how much you're using AI now and how much you like to use AI if you haven't.

Obviously I'm conducting interviews or I'm doing deep dives into topics where it's important to me that those parts, that my voice is really me.

I mean, so we have an operations manager, Sonia, who is incredible at stitching together lots of different AI workflows and automating episode production as much as possible.

And something that I actually feel really bad about is that we, for many years, we had a brilliant professional writer with a PhD who did such a good job of creating these, but she wasn't somebody from our niche.

So we obviously want to be augmenting as opposed to replacing people as much as possible.

But every once in a while, AI comes in and is doing something actually better we can even find a human to do but one of the more interesting aspects of where we've included ai is in making animated shorts we're on youtube as well as on audio only podcasting platforms so we hire out to a contracting firm that uses ai and this contractor takes our hour-long interview and converts it into half a dozen one-minute long shorts, but they're animated.

He uses AI for so many things, to figure out what clips to use, as well as to generate the video animations.

They're my favorite part of the show, and I have nothing to do with creating them.

And a big part of the reason why I got burned out was I really enjoyed creating the episodes, recording.

So we already mentioned now every conversation seems you cannot avoid AI, and for mostly the right reasons.

So I want to start the part about how AI affects the podcast itself from the more kind of mechanical aspect, like the use of AI in production.

from research to guest preparation to editing, transcripts, promotion, translations, whatever it is, how much you're using AI now and how much you like to use AI if you haven't.

Obviously I'm conducting interviews or I'm doing deep dives into topics where it's important to me that those parts, that my voice is really me.

I mean, so we have an operations manager, Sonia, who is incredible at stitching together lots of different AI workflows and automating episode production as much as possible.

And something that I actually feel really bad about is that we, for many years, we had a brilliant professional writer with a PhD who did such a good job of creating these, but she wasn't somebody from our niche.

So we obviously want to be augmenting as opposed to replacing people as much as possible.

But every once in a while, AI comes in and is doing something actually better we can even find a human to do but one of the more interesting aspects of where we've included ai is in making animated shorts we're on youtube as well as on audio only podcasting platforms so we hire out to a contracting firm that uses ai and this contractor takes our hour-long interview and converts it into half a dozen one-minute long shorts, but they're animated.

He uses AI for so many things, to figure out what clips to use, as well as to generate the video animations.

They're my favorite part of the show, and I have nothing to do with creating them.

And a big part of the reason why I got burned out was I really enjoyed creating the episodes, recording.
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