#182 – Bob Fischer on comparing the welfare of humans, chickens, pigs, octopuses, bees, and more

#182 – Bob Fischer on comparing the welfare of humans, chickens, pigs, octopuses, bees, and more

"[One] thing is just to spend time thinking about the kinds of things animals can do and what their lives are like. Just how hard a chicken will work to get to a nest box before she lays an egg, the amount of labour she’s willing to go through to do that, to think about how important that is to her. And to realise that we can quantify that, and see how much they care, or to see that they get stressed out when fellow chickens are threatened and that they seem to have some sympathy for conspecifics.

"Those kinds of things make me say there is something in there that is recognisable to me as another individual, with desires and preferences and a vantage point on the world, who wants things to go a certain way and is frustrated and upset when they don’t. And recognising the individuality, the perspective of nonhuman animals, for me, really challenges my tendency to not take them as seriously as I think I ought to, all things considered." — Bob Fischer

In today’s episode, host Luisa Rodriguez speaks to Bob Fischer — senior research manager at Rethink Priorities and the director of the Society for the Study of Ethics and Animals — about Rethink Priorities’s Moral Weight Project.

Links to learn more, summary, and full transcript.

They cover:

  • The methods used to assess the welfare ranges and capacities for pleasure and pain of chickens, pigs, octopuses, bees, and other animals — and the limitations of that approach.
  • Concrete examples of how someone might use the estimated moral weights to compare the benefits of animal vs human interventions.
  • The results that most surprised Bob.
  • Why the team used a hedonic theory of welfare to inform the project, and what non-hedonic theories of welfare might bring to the table.
  • Thought experiments like Tortured Tim that test different philosophical assumptions about welfare.
  • Confronting our own biases when estimating animal mental capacities and moral worth.
  • The limitations of using neuron counts as a proxy for moral weights.
  • How different types of risk aversion, like avoiding worst-case scenarios, could impact cause prioritisation.
  • And plenty more.

Chapters:

  • Welfare ranges (00:10:19)
  • Historical assessments (00:16:47)
  • Method (00:24:02)
  • The present / absent approach (00:27:39)
  • Results (00:31:42)
  • Chickens (00:32:42)
  • Bees (00:50:00)
  • Salmon and limits of methodology (00:56:18)
  • Octopuses (01:00:31)
  • Pigs (01:27:50)
  • Surprises about the project (01:30:19)
  • Objections to the project (01:34:25)
  • Alternative decision theories and risk aversion (01:39:14)
  • Hedonism assumption (02:00:54)

Producer and editor: Keiran Harris
Audio Engineering Lead: Ben Cordell
Technical editing: Simon Monsour and Milo McGuire
Additional content editing: Katy Moore and Luisa Rodriguez
Transcriptions: Katy Moore

Jaksot(324)

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

#224 – There's a cheap and low-tech way to save humanity from any engineered disease | Andrew Snyder-Beattie

Conventional wisdom is that safeguarding humanity from the worst biological risks — microbes optimised to kill as many as possible — is difficult bordering on impossible, making bioweapons humanity’s ...

2 Loka 20252h 31min

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

Inside the Biden admin’s AI policy approach | Jake Sullivan, Biden’s NSA | via The Cognitive Revolution

Jake Sullivan was the US National Security Advisor from 2021-2025. He joined our friends on The Cognitive Revolution podcast in August to discuss AI as a critical national security issue. We thought i...

26 Syys 20251h 5min

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

#223 – Neel Nanda on leading a Google DeepMind team at 26 – and advice if you want to work at an AI company (part 2)

At 26, Neel Nanda leads an AI safety team at Google DeepMind, has published dozens of influential papers, and mentored 50 junior researchers — seven of whom now work at major AI companies. His secret?...

15 Syys 20251h 46min

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

#222 – Can we tell if an AI is loyal by reading its mind? DeepMind's Neel Nanda (part 1)

We don’t know how AIs think or why they do what they do. Or at least, we don’t know much. That fact is only becoming more troubling as AIs grow more capable and appear on track to wield enormous cultu...

8 Syys 20253h 1min

#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

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
voi-hyvin-meditaatiot-2
rss-narsisti
psykopodiaa-podcast
rss-vapaudu-voimaasi
rss-niinku-asia-on
psykologia
rss-liian-kuuma-peruna
rss-duodecim-lehti
rss-uskonto-on-tylsaa
rss-valo-minussa-2
adhd-podi
aamukahvilla
kesken
koulu-podcast-2
adhd-tyylilla
jari-sarasvuo-podcast
rss-turun-yliopisto
rss-luonnollinen-synnytys-podcast
rss-laiska-joogi