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UN AI experts warn against ‘apocalyptic’ rhetoric on risks

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The Straits Times. (2026, September 22). UN AI experts warn against ‘apocalyptic’ rhetoric on risks. The Straits Times. https://www.straitstimes.com/world/un-ai-experts-warn-against-apocalyptic-rhetoric-on-risks

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The Straits Times · collected 2026-09-22 · by The Straits Times

Quick Summary

On September 21 in New York, during an event related to the UN General Assembly, experts from the International Scientific Panel on AI criticized the use of apocalyptic rhetoric regarding AI risks. Joelle Barral, a DeepMind executive and panel member, emphasized the importance of focusing on scientific knowledge rather than fearmongering. Nobel laureate Maria Ressa echoed this sentiment, calling for a more nuanced discussion about AI risk beyond extreme scenarios. The panel aims to provide scientific clarity on AI issues to inform UN deliberations.
Written by AI on 2026-09-22, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

On September 21, experts from the United Nations artificial intelligence committee in NEW YORK warned against using apocalyptic rhetoric to describe potential risks associated with AI. Joelle Barral, an executive at Google DeepMind and a member of the International Scientific Panel on AI, emphasized the importance of focusing on scientific understanding rather than fearmongering. Her comments came after Jacob Coxon, a former Anthropic employee who previously worked at OpenAI, made alarming statements in early September, suggesting that AI developers believe the technology could lead to humanity's extinction by the end of the decade. Barral stressed the need for more balanced and scientifically grounded discussions about AI risks.

Written for “AI Risks Discussion” on 2026-10-30, grounded in this article and the 0 other(s) covering the same event.

Story

📰 AI Risks Discussion
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 15% of its claims. Each row says how that neighbour differs.
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“The articles discuss different perspectives on AI risks but describe separate events with distinct sources and dates.”
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How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
13
sentences that state something as happening or true
Uncertain
15%
2 of 13 hedged ("reportedly", "may", "according to")
Leaning
withheld
no quote in the article backed the model's score
Publisher signals
66/100
The Straits Times's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-22 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

The Straits Times · 4019 article(s) · 5 correction(s) detected
Running correction rate · 5 correction(s)

Who wrote this

The Straits Times
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Topics

AFP Google DeepMind NEW YORK United Nations the International Scientific Panel on AI

Subjects

AFP ORG · 2× Google DeepMind ORG · 2× NEW YORK GPE · 2× the International Scientific Panel on AI ORG · 2× Anthropic ORG · 1× Jacob Coxon PERSON · 1× Joelle Barral PERSON · 1× Maria Ressa PERSON · 1× OpenAI ORG · 1× United Nations GPE · 1×

Narrative

“As scientists, it’s very important to invest in the science, to really understand what we know (from) what we don’t know, and investing in fear is not that helpful,” said Joelle Barral, an executive at Google DeepMind and a member of the International Scientific Panel on AI, an independent body.
framing: assertive · carried by 1 article(s) · first seen 2026-09-22
🔮 The former Anthropic employee, who previously worked at OpenAI, said in early September that AI developers believed the technology “could kill us all by the end of the decade”.
2026-09-22 · The Straits Times
UN AI experts warn against ‘apocalyptic’ rhetoric on risks · assertive framing

Claims (13 extracted, 2 hedged)

UN AI experts warn against ‘apocalyptic’ rhetoric on risks AI generated asserted
experts → warn → risks
Several experts on a United Nations artificial intelligence committee warned on Sept 21 against the apocalyptic rhetoric used by some professionals in the sector regarding AI risks. asserted
experts → warn → risks
“As scientists, it’s very important to invest in the science, to really understand what we know (from) what we don’t know, and investing in fear is not that helpful,” said Joelle Barral, an executive at Google DeepMind and a member of the International Scientific Panel on AI, an independent body. asserted
Barral → ’ → AI
She was responding to a question from AFP about recent public statements on AI’s potential dangers, particularly from Jacob Coxon. asserted
She → respond → Coxon
The former Anthropic employee, who previously worked at OpenAI, said in early September that AI developers believed the technology “could kill us all by the end of the decade”. uncertain
technology → work → decade
A research engineer who left Google DeepMind in July made similar comments, saying it might already be “too late to avoid” humanity’s eradication by AI. “We have to change the way we talk about AI risk because for a very long time, it’s either existential and everything is going to die and the killer robots are coming, or it doesn’t really matter,” Nobel Peace Prize laureate Maria Ressa, an investigative reporter, said on Sept 21 at the same event, held in New York on the sidelines of the UN General Assembly. uncertain
Ressa → leave → Assembly
“The truth though is far more nuanced and sophisticated,” she continued. asserted
she → continue → ?
“You can’t turn that into ideology, which is, I think, where (the debate) has been heading.” asserted
debate → turn → ideology
The International Scientific Panel on AI was created in 2025, with its members selected in February 2026. asserted
members → create → February
Its mandate is to advance the scientific understanding of AI and inform UN deliberations. asserted
mandate → advance → deliberations
Yoshua Bengio, considered one of the fathers of AI and also a co-chair of the panel, said it was important to distinguish between what scientists actually know about AI risks and what can only be “plausibly extrapolated” from that evidence – an area where experts still disagree. asserted
experts → consider → area
“The problem with shouting very loudly is that someone else can also shout very loudly,” he said. asserted
he → shout → ?
What is needed instead is “a global rational discussion about what is going on, including about the uncertainty, including about the severity of the risks”. asserted
what → need → risks
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