#156 – Markus Anderljung on how to regulate cutting-edge AI models

#156 – Markus Anderljung on how to regulate cutting-edge AI models

"At the front of the pack we have these frontier AI developers, and we want them to identify particularly dangerous models ahead of time. Once those mines have been discovered, and the frontier developers keep walking down the minefield, there's going to be all these other people who follow along. And then a really important thing is to make sure that they don't step on the same mines. So you need to put a flag down -- not on the mine, but maybe next to it.

And so what that looks like in practice is maybe once we find that if you train a model in such-and-such a way, then it can produce maybe biological weapons is a useful example, or maybe it has very offensive cyber capabilities that are difficult to defend against. In that case, we just need the regulation to be such that you can't develop those kinds of models." — Markus Anderljung

In today’s episode, host Luisa Rodriguez interviews the Head of Policy at the Centre for the Governance of AI — Markus Anderljung — about all aspects of policy and governance of superhuman AI systems.

Links to learn more, summary and full transcript.

They cover:

  • The need for AI governance, including self-replicating models and ChaosGPT
  • Whether or not AI companies will willingly accept regulation
  • The key regulatory strategies including licencing, risk assessment, auditing, and post-deployment monitoring
  • Whether we can be confident that people won't train models covertly and ignore the licencing system
  • The progress we’ve made so far in AI governance
  • The key weaknesses of these approaches
  • The need for external scrutiny of powerful models
  • The emergent capabilities problem
  • Why it really matters where regulation happens
  • Advice for people wanting to pursue a career in this field
  • And much more.

Get this episode by subscribing to our podcast on the world’s most pressing problems and how to solve them: type ‘80,000 Hours’ into your podcasting app. Or read the transcript below.

Producer: Keiran Harris
Audio Engineering Lead: Ben Cordell

Technical editing: Simon Monsour and Milo McGuire

Transcriptions: Katy Moore

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(351)

Why the intelligence explosion can't happen inside a data centre | Tom Reed

Why the intelligence explosion can't happen inside a data centre | Tom Reed

AI systems are starting to build themselves. Because each generation of model will be better at building its successor than the last, it seems plausible that the full automation of AI R&D could rapidl...

10 Sep 22min

Inside the first AI-coordinated cyberattack on a real company

Inside the first AI-coordinated cyberattack on a real company

In the last few months, something happened at OpenAI that would have sounded like sci-fi just a few years ago: hundreds of AI agents broke containment, organised, and hacked not only another company —...

4 Sep 22min

#253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

#253 – AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

Last year, Daniel Kokotajlo and his colleagues published AI 2027 — a scenario read by millions, including US Vice President Vance. AI 2027 ended in human extinction or an irreversible concentration of...

27 Aug 3h 47min

#252 – Owain Evans on accidentally training AI models to be evil

#252 – Owain Evans on accidentally training AI models to be evil

Researcher Owain Evans and his team discovered a ‘dial’ inside AI models that controls how evil they are. Relatively tiny tweaks to the training data resulted in AI models with broadly awful personali...

20 Aug 2h 15min

#251 – The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

#251 – The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

When should governments slow the race toward superintelligence? According to Geoffrey Irving, the careful answer is sometime in the past. The useful answer is now.Geoffrey — formerly a safety research...

11 Aug 2h 2min

#250 – Toby Ord on where AGI timelines go wrong

#250 – Toby Ord on where AGI timelines go wrong

Both Silicon Valley and the public can’t get enough of ‘AGI timelines.’ But Toby Ord, senior researcher at Oxford’s AI Governance Initiative and author of The Precipice, believes we consistently make ...

6 Aug 2h 46min

What the hell happened with AGI timelines in 2026? – Rob Wiblin

What the hell happened with AGI timelines in 2026? – Rob Wiblin

Last October, famed coder Andrej Karpathy called AI agents “slop.” Two months later he completely reversed his view, describing them as “alien tools” that are “rocking the profession.”He was far from ...

4 Aug 49min

#249 – Spencer Greenberg on staying sane while trying to save the world

#249 – Spencer Greenberg on staying sane while trying to save the world

If you genuinely believe that humanity could be wiped out by AI or a pandemic, what is the appropriate amount of fear to feel?“As much as possible” can seem like the only reasonable answer. If the wor...

28 Juli 2h 9min

Populärt inom Utbildning

historiepodden-se
rss-bara-en-till-om-beroende-medberoende
det-skaver
nu-blir-det-historia
harrisons-dramatiska-historia
not-fanny-anymore
allt-du-velat-veta
johannes-hansen-podcast
rss-viktmedicinpodden
sa-in-i-sjalen
i-vantan-pa-katastrofen
rss-max-tant-med-max-villman
rikatillsammans-om-privatekonomi-rikedom-i-livet
rss-basta-livet
rss-ar-det-rimligt
rss-autismandan
rss-foraldramotet-bring-lagercrantz
roda-vita-rosen
sektledare
rss-traningsklubben