logo
episode-header-image
Jun 2023
27m 44s

AI and human extinction

Bbc Radio 4
About this episode

In the headlines this week eminent tech experts and public figures signed an open letter that read “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”

One of the signatories was Geoffrey Hinton, the so-called ‘godfather of AI’. He’s become so concerned about the risks associated with artificial intelligence that he recently decided to quit his job at Google, where he had worked for more than a decade.

But are these concerns justified, or is it overblown scaremongering? And should we start prepping for a Terminator-style takeover? To get the answers, presenter Gareth Mitchell is joined by computational linguist Prof Emily M. Bender from the University of Washington along with Dr Stephen Cave, Director at the Leverhulme Centre for the Future of Intelligence (CFI).

Next up, we hear from Prof Carl Sayer at UCL, along with Dr Cicely Marshall and Dr Matthew Wilkinson from the University of Cambridge, to dig into the science behind wildflower meadows and whether they can boost biodiversity and even help ease climate change.

Finally, have you heard about Balto the sled dog? He was part of a life-saving mission in the 1920s and now he has the chance to be a hero once more. His DNA has been studied by the Zoonomia project, which is using databases of genomes from hundreds of mammals to build a better picture of evolution. This data could then be used help identify those animals that are at the greatest risk of extinction.

Presenter: Gareth Mitchell Producer: Harrison Lewis Content Producers: Ella Hubber and Alice Lipscombe-Southwell Editor: Richard Collings

Up next
Jul 3
Can science save our oceans?
More than 2,000 marine scientists have come together at the One Ocean Science Congress in Nice, France. It is a gathering that will bring marine experts from all over the world together to share the latest discoveries about the health of our seas and oceans. It is an issue at the ... Show More
28m 11s
Jun 26
Your science questions answered
We’ve been rummaging through the Inside Science mailbox to pick out a selection of the intriguing science questions you’ve been sending in, and assembled an expert panel to try to answer them. Marnie Chesterton is joined by Penny Sarchet, managing editor of New Scientist, Mark Ma ... Show More
28m 7s
Jun 19
Does the pandemic agreement make the world safer?
The World Health Organisation has agreed a treaty looking at tackling the issue of future pandemics. It’s hoped it will help to avoid some of the disorganisation and competition for resources like vaccines and personal protective equipment that were seen during the Covid-19 outbr ... Show More
27m 59s
Recommended Episodes
Feb 2024
The Life Scientific: Michael Wooldridge
Humans have a long-held fascination with the idea of Artificial Intelligence (AI) as a dystopian threat - from Mary Shelley's Frankenstein, through to the Terminator movies. But somehow, we still often think of this technology as 'futuristic', whereas in fact, it's already woven ... Show More
27m 20s
Dec 2023
Michael Wooldridge on AI and sentient robots
Humans have a long-held fascination with the idea of Artificial Intelligence (AI) as a dystopian threat: from Mary Shelley's Frankenstein, through to the Terminator movies.But somehow, we still often think of this technology as 'futuristic': whereas in fact, it's already woven in ... Show More
37m 55s
May 2023
Talking With Animals… Using AI
Despite our serious concerns about the pace of deployment of generative artificial intelligence, we are not anti-AI. There are uses that can help us better understand ourselves and the world around us. Your Undivided Attention co-host Aza Raskin is also co-founder of Earth Specie ... Show More
24m 1s
Dec 2022
Ethical AI
In this episode of High Theory, Alex Hanna talks with Nathan Kim about Ethical AI. Their conversation is part of our High Theory in STEM series, which tackles topics in science, technology, engineering, and medicine from a highly theoretical perspective. In this episode, Alex hel ... Show More
22m 39s
Nov 2023
Superintelligent AI: The Utopians
If even AI companies are fretting about the existential threat that human-level AI poses, why are they building these machines in the first place? And as they press ahead, a debate is raging about how we regulate this emergent sector to keep it under control. In the second episod ... Show More
24m 48s
Jun 2023
Can Artificial Intelligence teach itself?
Welcome to the exciting new field of generative artificial intelligence - or generative AI. We’re not talking about robots or spaceships: instead these are image generators and chatbots that are already revolutionising the way people write, research and interact in the virtual wo ... Show More
26m 28s
Nov 2023
Superintelligent AI: The Doomers
In the first episode of a new, five-part series of Tech Tonic, FT journalists Madhumita Murgia and John Thornhill ask how close we are to building human-level artificial intelligence and whether ‘superintelligent’ AI poses an existential risk to humanity. John and Madhu speak to ... Show More
28m 47s
Mar 2023
The AI Dilemma
You may have heard about the arrival of GPT-4, OpenAI’s latest large language model (LLM) release. GPT-4 surpasses its predecessor in terms of reliability, creativity, and ability to process intricate instructions. It can handle more nuanced prompts compared to previous releases, ... Show More
42m 25s
Nov 2018
Artificial Intelligence
An artificial intelligence capable of improving itself runs the risk of growing intelligent beyond any human capacity and outside of our control. Josh explains why a superintelligent AI that we haven’t planned for would be extremely bad for humankind. (Original score by Point Lob ... Show More
41m 52s
Feb 2022
Playback: The Battle for the Soul of Artificial Intelligence
With every breakthrough, computer scientists are pushing the boundaries of artificial intelligence (AI). We see it in everything from predictive text to facial recognition to mapping disease incidence. But increasingly machines show many of the same biases as humans, particularly ... Show More
28m 11s