80,000 Hours Podcast13 Marras 2017

#14 - Sharon Nunez & Jose Valle on going undercover to expose animal abuse

What if you knew that ducks were being killed with pitchforks? Rabbits dumped alive into containers? Or pigs being strangled with forklifts? Would you be willing to go undercover to expose the crime?

That’s a real question that confronts volunteers at Animal Equality (AE). In this episode we speak to Sharon Nunez and Jose Valle, who founded AE in 2006 and then grew it into a multi-million dollar international animal rights organisation. They’ve been chosen as one of the most effective animal protection orgs in the world by Animal Charity Evaluators for the last 3 consecutive years.

Blog post about the episode, including links and full transcript.

In addition to undercover investigations AE has also designed a 3D virtual-reality farm experience called iAnimal360. People get to experience being trapped in a cage – in a room designed to kill then - and can’t just look away. How big an impact is this having on users?

Sharon Nuñez and Jose Valle also tackle:

* How do they track their goals and metrics week to week?
* How much does an undercover investigation cost?
* Why don’t people donate more to factory farmed animals, given that they’re the vast majority of animals harmed directly by humans?
* How risky is it to attempt to build a career in animal advocacy?
* What led to a change in their focus from bullfighting in Spain to animal farming?
* How does working with governments or corporate campaigns compare with early strategies like creating new vegans/vegetarians?
* Has their very rapid growth been difficult to handle?
* What should our listeners study or do if they want to work in this area?
* How can we get across the message that horrific cases are a feature - not a bug - of factory farming?
* Do the owners or workers of factory farms ever express shame at what they do?

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(355)

The case for giving AI (some) legal rights | Simon Goldstein

It sounds like the worst idea in the world: pay AIs, let them own property, give them rights. But AI ethics and safety researcher Simon Goldstein thinks it might actually be the best way to keep human...

1 Loka 1h 53min

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 Syys 1h 28min

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 Syys 27min

#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 Syys 1h 3min

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 Syys 22min

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 Syys 22min

#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 Elo 3h 47min

#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 Elo 2h 15min