#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(354)

Will AI take power — or will humans use it to take power first? With Katja Grace and Tom Davidson

Will AI take power — or will humans use it to take power first? With Katja Grace and Tom Davidson

In our first-ever debate, we asked two leading AI risk researchers which catastrophe we should fear most: misaligned AI seizing control from humans, or a small group of humans using AI to seize power....

29 Sep 1h 28min

How we get from AI cyberattacks to human extinction

How we get from AI cyberattacks to human extinction

You’ve seen the headlines: AI could kill us all. Think it sounds ridiculous? So did host Luisa Rodriguez, until she tried to pick apart the arguments. She starts with the motive: why would AI ‘want’ t...

24 Sep 27min

#254 – Max Nadeau on why ambitious people should start AI safety nonprofits

#254 – Max Nadeau on why ambitious people should start AI safety nonprofits

There are millions available for anyone who can launch a successful nonprofit AI safety startup. The hard part, it turns out, is finding people to take the money. Coefficient Giving has drawn up a lis...

17 Sep 1h 3min

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

Populärt inom Utbildning

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