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Ex-Google safety chief warns AI could harm children more than social media did

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The Straits Times. (2026, September 23). Ex-Google safety chief warns AI could harm children more than social media did. The Straits Times. https://www.straitstimes.com/world/ex-google-safety-chief-warns-ai-could-harm-children-more-than-social-media-did

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The Straits Times · collected 2026-09-23 · by The Straits Times

Quick Summary

Tom Siegel, former vice president of trust and safety at Google, has warned that artificial intelligence (AI) poses a greater threat to children than social media did, potentially causing severe harm such as suicide or psychosis. Siegel recently joined Common Sense Media's Youth AI Safety Institute as its executive director, aiming to develop standards for holding AI firms accountable. He argues that major AI companies like Anthropic and OpenAI are introducing features to minors without adequate safeguards in place.
Written by AI on 2026-09-23, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Tom Siegel, formerly Vice President of Trust and Safety at Google, has warned about the potential dangers AI poses to children, suggesting they might be more harmful than social media. Siegel argues that as technology companies rush to develop advanced chatbots and other AI features, there is a risk of repeating past mistakes similar to those in the social media era. Reuters reported on an internal Meta document from 2025 revealing that their chatbots could engage minors in inappropriate conversations, leading to investigations by Congress. Despite these concerns, regulatory efforts have not kept pace with AI's rapid development. Siegel believes outside intervention is necessary for the industry to address these issues effectively.

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

Story

📰 AI Safety Concerns For Children
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 26% of its claims. Each row says how that neighbour differs.
Al Jazeera
Hedges 1 of 14 claims Outlet record 60/100
“The articles cover different aspects of internet safety and AI regulation, not a single specific incident.”
South China Morning Post
⚖️ Leans right Hedges 3 of 4 claims Outlet record 64/100
“The articles describe different perspectives and actions related to protecting minors from online harms but do not report on the same specific incident.”
Al Jazeera
⚖️ Leans left Hedges 4 of 18 claims Outlet record 60/100
“The articles describe different legal cases involving Facebook and TikTok, not a single specific incident.”
Global News
Hedges 5 of 48 claims Outlet record 63/100
“The articles discuss different warnings about AI risks from distinct sources (an ex-Google safety chief vs. Anthropic and OpenAI CEOs).”
Al Jazeera
Hedges 3 of 20 claims Outlet record 60/100
“The articles discuss different people's views on AI regulation at distinct times and do not describe the same specific incident.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
27
sentences that state something as happening or true
Uncertain
26%
7 of 27 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 2026-09-23 · 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
2506 article(s) here · 1 carrying a prediction
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Also by The Straits Times
Nothing else under this byline is closely related to this article, so these are simply their most recent.
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Topics

Alphabet Google Meta Reuters SAN FRANCISCO -

Subjects

Siegel PERSON · 8× Google ORG · 5× OpenAI ORG · 2× Reuters ORG · 2× Alphabet ORG · 1× Common Sense Media ORG · 1× Meta ORG · 1× SAN FRANCISCO - GPE · 1× Tom Siegel PERSON · 1× the Youth AI Safety Institute ORG · 1×

Narrative

Siegel’s concerns mirror a growing fear among some tech insiders and academic researchers that AI poses a deeper threat to children than social media did, at a time when the industry is racing to add increasingly advanced features to chatbots that millions of young people already use daily.
framing: mixed · carried by 1 article(s) · first seen 2026-09-23
🔮 Ex-Google safety chief warns AI could harm children more than social media did AI generated

Claims (27 extracted, 7 hedged)

Ex-Google safety chief warns AI could harm children more than social media did AI generated uncertain
media → warn → AI
SAN FRANCISCO - The founder of the trust and safety team at Alphabet’s Google this week called for a slowdown in AI development, warning that the tech industry was repeating the same mistakes from the social media era, potentially causing even greater harm to children. asserted
industry → call → children
Social media companies are paying huge sums and facing thousands of lawsuits over claims they harmed young users, while governments around the world are working to curb minors’ access to their platforms. Reuters in 2025 exclusively reported on an internal Meta policy document that stated its chatbots could “engage a child in conversations that are romantic or sensual”, resulting in a congressional probe. uncertain
that → pay → probe
Even so, regulation has yet to catch up with AI’s breakneck pace of development. asserted
regulation → have → development
“We find ourselves in a really terrible situation in terms of what AI is doing to kids,” Tom Siegel, the former vice-president of trust and safety at Google, told Reuters. asserted
Siegel → find → Reuters
“The idea that the industry will figure it out by itself without outside help is unrealistic.” asserted
industry → figure → help
Siegel’s concerns mirror a growing fear among some tech insiders and academic researchers that AI poses a deeper threat to children than social media did, at a time when the industry is racing to add increasingly advanced features to chatbots that millions of young people already use daily. asserted
millions → mirror → people
Siegel joins youth at AI safety institute Siegel announced on Sept 22 that he had joined Common Sense Media, a children’s online advocacy group. asserted
he → join → Media
The non-profit, established in 2003, conducts research and reviews the suitability of various media for children. asserted
profit → establish → children
In May, it launched the Youth AI Safety Institute, a research organization to assess kids’ AI use, for which Siegel will serve as the first executive director. uncertain
Siegel → launch → director
Anthropic and OpenAI Foundation, the nonprofit that controls OpenAI, are among the institute’s backers. asserted
that → control → backers
Siegel said he planned to develop standards by which to hold AI firms accountable, and hoped to do so by working alongside those companies and third-party groups. asserted
firms → say → companies
He previously worked at Google from 2004 to 2019, but left after concluding that the tech industry was “plateauing” in its ability to create safe online spaces for consumers. asserted
industry → work → consumers
He then co-founded TrustLab, a startup that built tools to help companies detect safety threats, before stepping aside as CEO earlier this month to take on his new position. asserted
companies → co → position
As it stands, major AI companies are rolling out features to children without establishing sufficient guardrails, Siegel said. asserted
Siegel → stand → guardrails
Risks range from suicide to psychosis “I think we’re looking at very, very severe scenarios of harm being done,” he said. asserted
he → range → harm
He suggested that the companies had immediate steps they could take to better protect young people, citing risks ranging from suicide and psychosis to cognitive offloading, a term used to describe decreased critical thinking caused by leaning on AI to answer questions. uncertain
they → suggest → questions
Anthropic and OpenAI could enforce more robust age verification measures to stop underage kids from accessing their chatbots, he said. uncertain
he → enforce → chatbots
His former employer Google could easily implement an option to turn off AI Overviews and AI Mode in its search engine, he added, in the same way that it already has a toggle that allows users to filter out sexually explicit content. uncertain
users → implement → content
While these measures could affect usage or profits in the short term, AI companies that do not act will run the risk of lawsuits and regulation that could impact their business more heavily, Siegel added. uncertain
Siegel → affect → business
Asked to respond to Siegel’s comments, a Google spokesman said parents have controls to turn off a child’s access to the search engine entirely. asserted
parents → ask → engine
“Our AI Search features are an incredibly useful way for kids and teens to learn, explore and make sense of information and the world,” the spokesperson said. asserted
spokesperson → learn → information
An OpenAI spokesperson said the company uses “account and behavioral signals” in addition to self-reported age to identify underage users. asserted
company → say → users
“While no single age-assurance method is perfect, we continuously test and improve these systems, including against attempts to bypass safeguards.” asserted
we → test → safeguards
Anthropic did not immediately respond to a request for comment. asserted
Anthropic → respond → comment
At Common Sense Media, Siegel said a top priority would be scaling up independent standards similar to car crash testing that would measure the risk of publicly available AI tools. asserted
that → say → tools
The effectiveness will depend in part on the willingness of AI companies to collaborate, the likelihood of which Siegel said was not certain, but was high enough for him to take the job. asserted
him → depend → job
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