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Even as they say 'slow down,' tech giants are arguing for self-regulation. Why should we trust them?

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Cite

Lorinc, J. (2026, September 19). Even as they say 'slow down,' tech giants are arguing for self-regulation. Why should we trust them? Toronto Star. https://www.thestar.com/opinion/contributors/even-as-they-say-slow-down-tech-giants-are-arguing-for-self-regulation-why-should-we-trust-them/article_719a3801-f502-4fa9-8491-755508afb0b1.html

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Toronto Star · collected 2026-09-19 · by John Lorinc

Quick Summary

As warnings about the risks of artificial intelligence (AI) grow, tech leaders like Anthropic CEO Dario Amodei have called for self-regulation and collaboration with governments, suggesting measures such as embedded auditors and relaxed anti-trust laws. However, other industry figures, like Cohere co-founder Aidan Gomez, argue that these proposals could lead to monopolistic practices. The article critiques the lack of governmental regulation in this area, highlighting how essential safety standards exist in many fields but not for AI applications despite their widespread use and potential dangers.
Written by AI on 2026-09-19, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Over the past week, concerns about the potential dangers of artificial intelligence (AI) have surged in public awareness. In response, leaders from top U.S. AI firms are calling for their industry to slow down and develop "guardrails" to address issues like cheating and unauthorized access. Anthropic CEO Dario Amodei proposed allowing embedded auditors to conduct safety tests and suggested a partnership with governments, including relaxing anti-trust rules that usually prevent tech giants from collaborating.

However, at the recent investment summit in Toronto, Aidan Gomez, co-founder of Canadian AI firm Cohere, criticized such proposals as potentially forming cartels. This highlights the ongoing debate over whether the industry can effectively self-regulate or if external oversight is necessary to ensure AI safety and ethics.

Written for “Tech Giant Self Regulation Debate” on 2026-11-04, grounded in this article and the 0 other(s) covering the same event.

Story

📰 Tech Giant Self Regulation Debate
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads leans strongly left and hedges 0% of its claims. Each row says how that neighbour differs.
Reason
Hedges 1 of 17 claims Outlet record 67/100
“The articles discuss different aspects of AI regulation and debate without describing the same specific incident or occurrence.”
Fox News
⚖️ Leans strongly right further right than this Hedges 4 of 38 claims Outlet record 68/100
“The articles discuss related topics regarding AI concerns and industry responses but describe different occurrences in time and context.”
Al Jazeera
⚖️ Leans right further right than this Hedges 0 of 3 claims Outlet record 60/100
“The articles discuss different aspects of AI regulation and industry responses over time, not a single specific incident.”
CBS News
Hedges 0 of 3 claims Outlet record 65/100
“Article A discusses criminal liability of AI models for breaking the law, while Article B focuses on tech giants' calls for self-regulation and safety measures in AI development.”
ABC News (AU)
⚖️ Leans left further right than this Hedges 6 of 34 claims Outlet record 67/100
“The articles discuss different aspects of AI regulation and industry responses without referring to the same specific incident.”
CBS News
Hedges 0 of 3 claims Outlet record 65/100
“The articles discuss related topics about AI safety and regulation but describe different events: one focuses on a public letter signed by experts advocating for external audits, while the other discusses tech giants' calls for self-regulation.”
The Sydney Morning Herald
Hedges 3 of 12 claims Outlet record 61/100
“The articles discuss different aspects of AI regulation; Article A focuses on tech giants calling for self-regulation in the U.S., while Article B reports Australia's involvement in international calls for safeguards at a UN event.”
AI safety paradox Different event
Dawn
⚖️ Leans left further right than this Hedges 7 of 61 claims Outlet record 72/100
“While both articles discuss calls for slowing down AI development and mention Anthropic CEO Daio Amodei's stance, they appear to be discussing different phases or aspects of the debate rather than a single specific event.”
The Straits Times
Hedges 1 of 36 claims Outlet record 66/100
“The articles discuss related themes but do not describe the same specific incident or occurrence. ARTICLE A focuses on the immediate pushback against calls for an AI slowdown, while ARTICLE B discusses the broader debate and responsibilities over AI safety following similar statements.”
Platformer
⚖️ Leans right further right than this Hedges 0 of 3 claims Outlet record 96/100
“While both articles discuss the AI industry's stance on regulation and safety concerns, they cover different aspects and timeframes of the ongoing debate.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
28
sentences that state something as happening or true
Uncertain
0%
0 of 28 hedged ("reportedly", "may", "according to")
Leaning
Leans strongly left
of the writing, not the subject · beta estimate
Publisher signals
64/100
Toronto Star'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 2026-09-19 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Toronto Star · 11445 article(s) · 28 correction(s) detected
Running correction rate · 28 correction(s)
2026-10-26
Correction
2026-10-24
Correction
2026-10-07
Correction
2026-09-24
Correction

Who wrote this

John Lorinc
3 article(s) here · 1 carrying a prediction
🔮 Over the months leading up to last week’s mayoral election, a question circulated among some, or even many, Jewish voters in Toronto: does Olivia Chow have their backs?
🔮 Premier Doug Ford, who picked this fight with a 2024 law that empowered the province to remove segregated cycle paths, would have Torontonians believe his polarizing war-on-the-bike is done and dusted now that an appeals court has upheld that legislation.
🔮 He also proposed a “partnership” with governments (in the U.S. and other democracies) — including a relaxation of anti-trust rules that would otherwise prevent tech giants from collaborating.
Also by John Lorinc
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

Anthropic Canadian Cohere Toronto U.S.

Subjects

U.S. GPE · 3× Cohere ORG · 2× Aidan Gomez PERSON · 1× Amodei ORG · 1× Anthropic ORG · 1× Canada GPE · 1× Canadian NORP · 1× Dario Amodei PERSON · 1× Mark Carney PERSON · 1× Toronto GPE · 1×

Narrative

Which is a highly convenient omission for tech giants whose leaders, Amodei excepted, have generally promoted the notion that the industry is best placed to regulate itself, even in the face of mounting evidence that AIs and AI agents are now behaving autonomously, and in ways the engineers at these firms never envisioned.
framing: assertive · carried by 1 article(s) · first seen 2026-09-19
🔮 He also proposed a “partnership” with governments (in the U.S. and other democracies) — including a relaxation of anti-trust rules that would otherwise prevent tech giants from collaborating.

Claims (28 extracted, 0 hedged)

Who bears responsibility for ensuring the safety of artificial intelligence (AI)? asserted
Who → bear → intelligence
Over the past week, as increasingly dire warnings about the destructive potential of AI have exploded into public consciousness, the contentious debate over the answer has become, paradoxically, ever more confused. asserted
debate → explode → answer
In the U.S., the heads of the top AI firms have called on their industry to slow its breakneck pace to ensure the development of adequate “guardrails” to tackle AI’s propensity to cheat, conspire and break into places it was instructed not to go. asserted
it → call → places
In a 3,800-word essay posted on Sunday, Anthropic CEO Dario Amodei argued that the so-called “frontier” AI firms should allow embedded “auditors” to conduct safety tests. asserted
auditors → post → tests
He also proposed a “partnership” with governments (in the U.S. and other democracies) — including a relaxation of anti-trust rules that would otherwise prevent tech giants from collaborating. asserted
that → propose → giants
But at Prime Minister’s Mark Carney’s investment summit in Toronto this week (which featured some massive datacentre projects), Aidan Gomez, the co-founder of Cohere, a leading Canadian AI firm, pushed back, arguing that such proposals amounted to cartel-like conduct that will concentrate corporate power. asserted
that → feature → power
All these arguments obscure the reality that policymakers, in the U.S., Canada and elsewhere, have largely abdicated their duty to create the regulatory frameworks necessary to assure citizens that AI works reliably and safely, and in the public interest. asserted
AI → obscure → interest
Which is a highly convenient omission for tech giants whose leaders, Amodei excepted, have generally promoted the notion that the industry is best placed to regulate itself, even in the face of mounting evidence that AIs and AI agents are now behaving autonomously, and in ways the engineers at these firms never envisioned. asserted
engineers → except → firms
We’ve all heard the story about corporate self-regulation before, and it rarely ends well. asserted
it → hear → regulation
We also live in a society where it is almost impossible to avoid safety-related government regulation, and this observation is not a criticism. asserted
observation → live → regulation
Anything you put in your mouth, the water that comes from the taps, the durability of the asphalt on the highway and the steel beams that hold up big buildings, every form of mobility, the training of professionals, and more — all are subject to a web of safety regulations. asserted
all → put → regulations
But if you want to ask ChatGPT for advice on what to do about voices in your head or ways to cheat on exams, or how to source the ingredients of a bomb, there are no rules at all. asserted
you → want → bomb
In domains including science, medicine, engineering, banking and education, AI applications are proliferating with no public oversight at all. asserted
applications → include → oversight
Children can create chatbot `friends’ for themselves with unknown consequences for their social development. asserted
Children → create → development
Troll farms and malicious actors deploy AI to turbocharge the dissemination of misinformation and cyber-fraud. asserted
farms → deploy → misinformation
The AI industry insists it can be trusted to develop tools to police what’s safe and what’s not. asserted
what → insist → tools
I don’t want to argue that governments should regulate AIs that put together travel itineraries or instantly create presentation materials for meetings. asserted
that → want → meetings
But the dismal and often tragic track record of the social media giants is nothing if not an object lesson in what happens when governments, in the name of free speech or innovation, relinquish their responsibilities. asserted
governments → happen → responsibilities
Cohere’s Gomez comes closest to proposing a robust regulatory framework that includes mandatory transparency for AI firms, third-party safety testing and certification standards. asserted
that → come → firms
As he wrote on the weekend, “The parameters that determine how AI models and systems are tested and the mechanisms that verify those tests must be truly independent, similar to the way financial institutions are licensed, aviation companies maintain strict safety standards, and nuclear facilities accept inspection asserted
facilities → write → inspection
He doesn’t say it, but there must also be consequences for non-compliance, just as there are in many other regulatory regimes, from banking to food processing. asserted
He → say → processing
The AI ball is now in the Carney government’s court, and it must act. asserted
it → act → court
Waiting for the U.S. Congress and a corrupt president incapable of grasping the urgency of the situation amounts to an abdication of Canadian sovereignty within an industry that is explosively globalizing. asserted
that → wait → industry
Carney and AI minister Evan Solomon talk about fostering a domestic AI sector and advancing a broad-based plan to ensure the technology supports Canada’s economy. asserted
technology → talk → economy
The “AI for All” strategy includes a pledge to ”[create] rules and safeguards that build and maintain trust. asserted
that → include → trust
Yet in light of the disturbing revelations from Anthropic and OpenAI over the past several months, the federal Liberals need to shift to a much more assertive stance — one that mirrors that way they have responded to the bad-faith conduct we’ve seen in trade negotiations. asserted
we → need → negotiations
After all, governments do few tasks more important than promulgate rules and standards that provide for the safety of their citizens — even if those regulations constrain private interests from maximizing profit. asserted
regulations → do → profit
AI, described by its proponents as the world’s most powerful technology, can no longer enjoy a pass on this fundamental democratic principle. asserted
AI → describe → principle
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