Oct 14, 2026 · 53 min · 10 segments
Daniel Solove chats with Jessica Silbey (BU Law) and Woodrow Hartzog (BU Law) about their…
Daniel SoloveHost
Woodrow HartzogGuest
Jessica SilbeyGuest
It's our second of what we think will be a trilogy of papers, actually, on AI.


all the time, and it's this sort of careless and effortless and excrement of AI output.

There's lots of different ways of thinking about what it could be, but it is this the excretion of the automated AI systems, whether it's images or texts, sort of done without care, sent out into the world without review, and taking up all of our attention and time.

Yeah, and we came to this paper because people were using slop in a way that it sounded like it was a distinct phenomenon.

And we wanted to really try and unpack whether it was worth taking seriously as a concept, because there was all these sort of permutations as well, like the Slopocalypse is upon us and Slopageddon.

And so that's really what led us to want to analyze it seriously as a concept that might be useful in both the social research and society, but also in policy.

So you spent a lot of time in the paper focusing on the term, like how do we define it? Because I assume that we want to make a distinction between slop and other stuff because slop is what is causing harm and we're going to identify it as something we need to have an intervention to deal with.

So it's very important that we actually figure out how do we separate the slop from good stuff, right? Because I guess that not everything AI generates is slop.

It's our second of what we think will be a trilogy of papers, actually, on AI.


all the time, and it's this sort of careless and effortless and excrement of AI output.

There's lots of different ways of thinking about what it could be, but it is this the excretion of the automated AI systems, whether it's images or texts, sort of done without care, sent out into the world without review, and taking up all of our attention and time.

Yeah, and we came to this paper because people were using slop in a way that it sounded like it was a distinct phenomenon.

And we wanted to really try and unpack whether it was worth taking seriously as a concept, because there was all these sort of permutations as well, like the Slopocalypse is upon us and Slopageddon.

And so that's really what led us to want to analyze it seriously as a concept that might be useful in both the social research and society, but also in policy.

So you spent a lot of time in the paper focusing on the term, like how do we define it? Because I assume that we want to make a distinction between slop and other stuff because slop is what is causing harm and we're going to identify it as something we need to have an intervention to deal with.

So it's very important that we actually figure out how do we separate the slop from good stuff, right? Because I guess that not everything AI generates is slop.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.