#56 - Persis Eskander on wild animal welfare and what, if anything, to do about it

#56 - Persis Eskander on wild animal welfare and what, if anything, to do about it

Elephants in chains at travelling circuses; pregnant pigs trapped in coffin sized crates at factory farms; deers living in the wild. We should welcome the last as a pleasant break from the horror, right?

Maybe, but maybe not. While we tend to have a romanticised view of nature, life in the wild includes a range of extremely negative experiences.

Many animals are hunted by predators, and constantly have to remain vigilant about the risk of being killed, and perhaps experiencing the horror of being eaten alive. Resource competition often leads to chronic hunger or starvation. Their diseases and injuries are never treated. In winter animals freeze to death; in droughts they die of heat or thirst.

There are fewer than 20 people in the world dedicating their lives to researching these problems.

But according to Persis Eskander, researcher at the Open Philanthropy Project, if we sum up the negative experiences of all wild animals, their sheer number could make the scale of the problem larger than most other near-term concerns.

Links to learn more, summary and full transcript.

Persis urges us to recognise that nature isn’t inherently good or bad, but rather the result of an amoral evolutionary process. For those that can't survive the brutal indifference of their environment, life is often a series of bad experiences, followed by an even worse death.

But should we actually intervene? How do we know what animals are sentient? How often do animals feel hunger, cold, fear, happiness, satisfaction, boredom, and intense agony? Are there long-term technologies that could eventually allow us to massively improve wild animal welfare?

For most of these big questions, the answer is: we don’t know. And Persis thinks we're far away from knowing enough to start interfering with ecosystems. But that's all the more reason to start looking at these questions.

There are some concrete steps we could take today, like improving the way wild caught fish are slaughtered. Fish might lack the charisma of a lion or the intelligence of a pig, but if they have the capacity to suffer — and evidence suggests that they do — we should be thinking of ways to kill them painlessly rather than allowing them to suffocate to death over hours.

In today’s interview we explore wild animal welfare as a new field of research, and discuss:

• Do we have a moral duty towards wild animals or not?
• How should we measure the number of wild animals?
• What are some key activities that generate a lot of suffering or pleasure for wild animals that people might not fully appreciate?
• Is there a danger in imagining how we as humans would feel if we were put into their situation?
• Should we eliminate parasites and predators?
• How important are insects?
• How strongly should we focus on just avoiding humans going in and making things worse?
• How does this compare to work on farmed animal suffering?
• The most compelling arguments for humanity not dedicating resources to wild animal welfare
• Is there much of a case for the idea that this work could improve the very long-term future of humanity?

Rob is then joined by two of his colleagues — Niel Bowerman and Michelle Hutchinson — to quickly discuss:

• The importance of figuring out your values
• Chemistry, psychology, and other different paths towards working on wild animal welfare
• How to break into new fields

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.

The 80,000 Hours Podcast is produced by Keiran Harris.

Jaksot(320)

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

#221 – Kyle Fish on the most bizarre findings from 5 AI welfare experiments

What happens when you lock two AI systems in a room together and tell them they can discuss anything they want?According to experiments run by Kyle Fish — Anthropic’s first AI welfare researcher — som...

28 Elo 20252h 28min

How not to lose your job to AI (article by Benjamin Todd)

How not to lose your job to AI (article by Benjamin Todd)

About half of people are worried they’ll lose their job to AI. They’re right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more sa...

31 Heinä 202551min

Rebuilding after apocalypse: What 13 experts say about bouncing back

Rebuilding after apocalypse: What 13 experts say about bouncing back

What happens when civilisation faces its greatest tests?This compilation brings together insights from researchers, defence experts, philosophers, and policymakers on humanity’s ability to survive and...

15 Heinä 20254h 26min

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

#220 – Ryan Greenblatt on the 4 most likely ways for AI to take over, and the case for and against AGI in <8 years

Ryan Greenblatt — lead author on the explosive paper “Alignment faking in large language models” and chief scientist at Redwood Research — thinks there’s a 25% chance that within four years, AI will b...

8 Heinä 20252h 50min

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

The era of making AI smarter just by making it bigger is ending. But that doesn’t mean progress is slowing down — far from it. AI models continue to get much more powerful, just using very different m...

24 Kesä 20252h 48min

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

#218 – Hugh White on why Trump is abandoning US hegemony – and that’s probably good

For decades, US allies have slept soundly under the protection of America’s overwhelming military might. Donald Trump — with his threats to ditch NATO, seize Greenland, and abandon Taiwan — seems hell...

12 Kesä 20252h 48min

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

#217 – Beth Barnes on the most important graph in AI right now — and the 7-month rule that governs its progress

AI models today have a 50% chance of successfully completing a task that would take an expert human one hour. Seven months ago, that number was roughly 30 minutes — and seven months before that, 15 mi...

2 Kesä 20253h 47min

Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more

Beyond human minds: The bewildering frontier of consciousness in insects, AI, and more

What if there’s something it’s like to be a shrimp — or a chatbot?For centuries, humans have debated the nature of consciousness, often placing ourselves at the very top. But what about the minds of o...

23 Touko 20253h 34min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
psykopodiaa-podcast
rss-narsisti
voi-hyvin-meditaatiot-2
aamukahvilla
rss-vapaudu-voimaasi
psykologia
rss-liian-kuuma-peruna
dear-ladies
leveli
adhd-podi
kesken
rss-duodecim-lehti
aloita-meditaatio
ihminen-tavattavissa-tommy-hellsten-instituutti
rss-koira-haudattuna
rahapuhetta
ilona-rauhala
rss-niinku-asia-on
rss-luonnollinen-synnytys-podcast