Zershaaneh Qureshi

speaker

853 appearances 6 recordings 1 series first heard May 2026 last heard 4d ago

Zershaaneh Qureshi’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 6 in all, peaking in Aug 2026 with 2.

Appearances

newest first · ▶ plays the moment

80,000 Hours Podcast · Max Nadeau on why ambitious people should start AI safety nonprofits · 17 Sep 2026 podcast

For listeners who are interested in founding one of these technical AI safety nonprofits, what concretely should they be doing now to get the best shot possible of winning a grant?

Yeah, we can stick that up.

I think that's all we have time for.

But Max, you've been a pleasure to have on the show.

Thanks so much for coming.

80,000 Hours Podcast · #253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo · 27 Aug 2026 podcast

Hey listeners, if you're enjoying this conversation, um then I gotta tell you, we're actually hiring people to help us make more episodes like it.

So we've got three open roles on our team, um, a producer role, uh a production coordinator, and a special project role.

Um and these roles they basically range from shaping the content of episodes, uh to running the production pipeline, um to driving forward new projects independently.

You can find more details at eighty thousandhours.org, so just head over to the site, click on work with us, um, and just bear in mind that applications close on the thirtieth of August.

80,000 Hours Podcast · #252 – Owain Evans on accidentally training AI models to be evil · 20 Aug 2026 podcast

It's so

mystifying to me that there is like like an evilness dial, like there is some kind of lever that kind of specifically controls what feels like the very sort of human concept of evil.

Today I'm speaking with Owine Evans.

Owine's an AI alignment researcher and the director of Truthful AI, which is a nonprofit that's studying the psychology of large language models.

In recent years there's been just a bunch of really baffling results showing various different ways that AIs generalize and learn.

And the broad worry here is that AI could end up being misaligned in ways that are quite unexpected, kind of hard to detect, and could even happen through normal training processes.

I'm not totally sure what to make of all of these results, you know how to interpret them and why they matter, so I'm hoping that Owyan can shed a lot of light on this today.

Owen, thank you so much for coming.

Oh, that's great to hear.

Yeah, so a lot of your recent work has been about something you call emergent misalignment.

To start us off, can you tell us what emergent misalignment is and why people care about it?

Showing 121–140 of 853 · page 7 of 43