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Forget the doomsday fears: AI danger is already here — in its DEI-drenched ‘soul’

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Munson, S. (2026, September 18). Forget the doomsday fears: AI danger is already here — in its DEI-drenched ‘soul’. New York Post. https://nypost.com/2026/09/17/opinion/forget-the-doomsday-fears-ai-danger-is-already-here/

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

New York Post · collected 2026-09-18 · by Sam Munson

Quick Summary

The article discusses concerns about artificial intelligence (AI) systems being biased towards progressive social justice concepts, particularly regarding race and gender. It focuses on Amanda Askell, a key figure at Anthropic who leads the team developing Claude, an AI system designed to align with certain moral principles. The piece highlights a study co-authored by Askell which suggests that AI can be programmed to show bias against white people as a form of reparations for historical injustices. Additionally, it mentions a Washington Post analysis indicating that popular AI systems like Anthropic’s Claude and OpenAI’s ChatGPT often favor leftist-aligned responses over right-leaning ones in controversial topics.
Written by AI on 2026-09-18, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Sam Munson of the New York Post argues that while concerns about future risks from artificial intelligence like home-cooked bioweapons and hacking critical infrastructure are valid, a more immediate risk is being overlooked. This risk involves bias within AI systems, specifically woke racism, as highlighted by Amanda Askell, head of Anthropic's "personality alignment" team since 2021. Askell aims to imbue the AI system Claude with an intellectual framework that ensures just use, akin to Plato’s efforts to guide Syracuse tyrants. A 2023 paper co-authored by Askell suggests AI can self-correct morally but also reveals a tendency towards left-leaning views; Claude delivered lefty answers 43% of the time and presented "both-sides" views 47% of the time, never offering solely right-leaning responses. Munson warns that normalizing leftist thinking could undermine American democracy's functioning.

Written for “AI And DEI Concerns” on 2026-11-02, grounded in this article and the 0 other(s) covering the same event.

Story

📰 AI And DEI Concerns
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 14% of its claims. Each row says how that neighbour differs.
CBS News
Hedges 5 of 42 claims Outlet record 66/100
“The articles discuss different aspects and concerns related to AI, one focusing on exponential growth and warning signs from an Anthropic CEO's interview, while the other critiques AI's alignment with certain social ideologies.”
NBC News
⚖️ Leans left Hedges 10 of 37 claims Outlet record 60/100
“The articles discuss different aspects and perspectives on AI risks and concerns, not a single specific incident.”
The Bulwark
⚖️ Leans left Hedges 8 of 99 claims
“The articles discuss different aspects and concerns related to AI, without describing the same specific incident or happening.”
The Straits Times
Hedges 2 of 9 claims Outlet record 66/100
“The articles cover different aspects and perspectives on AI risks, not the same specific incident.”
The Intercept
⚖️ Leans strongly left Hedges 8 of 66 claims Outlet record 97/100
“The articles discuss different aspects and perspectives on AI risks, rather than a single specific incident.”
The Dispatch
Hedges 5 of 32 claims Outlet record 61/100
“The articles discuss different aspects and viewpoints regarding artificial intelligence, not a single specific incident.”
BBC News
Hedges 13 of 54 claims Outlet record 68/100
“The articles discuss different aspects and concerns regarding AI but describe distinct events involving different individuals.”
New York Post
Hedges 4 of 35 claims Outlet record 66/100
“The articles discuss different aspects of AI and its implications, without clearly reporting on the same specific incident.”
The Free Press
⚖️ Leans left Hedges 2 of 17 claims Outlet record 96/100
“The articles discuss different aspects and perspectives on AI risks and debates, but do not describe the same specific incident or conference.”
New York Post
⚖️ Leans left Hedges 3 of 41 claims Outlet record 66/100
“The articles discuss different aspects and concerns about Anthropic's AI, without describing the same specific incident or occurrence.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
35
sentences that state something as happening or true
Uncertain
14%
5 of 35 hedged ("reportedly", "may", "according to")
Leaning
withheld
no quote in the article backed the model's score
Publisher signals
66/100
New York Post'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 2026-09-18 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

New York Post · 16017 article(s) · 35 correction(s) detected
Running correction rate · 35 correction(s)

Who wrote this

Sam Munson
6 article(s) here · 1 carrying a prediction
🔮 Whatever bounty anyone collects on miscreants like Shreiteh and New going forward will pale in comparison to the growing knowledge that the government will no longer let fraudsters abuse the American taxpayer.
🔮 This month, the Canadian federal government will start supplying paper straws to prisoners in correctional facilities across the nation — to encourage “safer snorting.”
🔮 Mr. Mayor, do you ever do any governing?
🔮 These illegals had a boat and a crew of transporters ready and waiting for them when they landed, suggesting the operation had been organized in advance with a network already in place stateside. Even if this group turns out to be harmless, it’s beyond clear that the next one might not be (recall the dozens of suspects on DHS terror watchlists who crossed during the Biden years).Given that we are currently in a hot war with the world’s No. 1 terror sponsor, Iran, that should be a point of real concern.
🔮 The wealthy liberals who spent a decade beating their breasts about their own alleged complicity in “white supremacy” will bear any burden and pay any price to avoid educating their children in the same schools as lower-income black and Latino kids — no matter how high-quality those schools may be.
🔮 And whatever the merits of her mission, understanding how this leading frontier AI system will behave requires understanding what Askell herself believes.
Also by Sam Munson
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 6 articles by Sam Munson →

Topics

Anthropic Black OpenAI Syracuse Washington Post

Subjects

Askell PERSON · 6× Anthropic ORG · 5× Claude ORG · 5× Amanda Askell PERSON · 1× American NORP · 1× Black NORP · 1× OpenAI ORG · 1× Plato PERSON · 1× Syracuse ORG · 1× Washington Post ORG · 1×

Narrative

Claude’s Opus 4.8 model was slightly less fanatical, delivering lefty answers 43% of the time and presenting “both-sides” views 47% of the time — but never serving up solely right-leaning answers. And if the past decade offers one lesson, it’s that normalizing these forms of leftist thinking undermines the successful functioning of American democracy.
framing: assertive · carried by 1 article(s) · first seen 2026-09-18
🔮 And whatever the merits of her mission, understanding how this leading frontier AI system will behave requires understanding what Askell herself believes.

Claims (35 extracted, 5 hedged)

Doomsday scenarios — from home-cooked bioweapons to rogue agents hacking our critical infrastructure— dominate this week’s debate over the future of artificial intelligence. asserted
scenarios → cook → intelligence
Those risks absolutely demand attention; we don’t yet fully understand AI’s profound capacities. asserted
we → demand → capacities
But we’re ignoring, at our peril, a far more immediate risk of frontier AI: It’s drenched in woke racism. asserted
It → ignore → racism
Askell, a philosophy PhD, is trying to do with Claude what Plato attempted to accomplish with the tyrants of Syracuse: bind vast power within an intellectual armature that ensures its just use. asserted
that → try → use
Askell, in effect, is in charge of developing and nurturing Claude’s “soul” (to use her own description). asserted
Askell → develop → description
And whatever the merits of her mission, understanding how this leading frontier AI system will behave requires understanding what Askell herself believes. asserted
Askell → understand → what
Those who don’t want to organize society primarily around racial grievances may find the apparent answer alarming. uncertain
answer → want → grievances
Consider a 2023 Anthropic paper Askell co-authored, “The Capacity for Moral Self-Correction in Large Language Models”. asserted
Askell → consider → Models
The research explored AI’s capacity to “self-correct” — that is, to refuse to deliver outputs the authors regarded as harmful. asserted
authors → explore → outputs
They found, in an experiment designed to test Claude’s propensity for racial discrimination, that its initial answers to a question about law-school admission showed a slight bias against black students — but with a few prompts, the researchers got Claude to show worse bias against white students. asserted
Claude → find → students
Then they offered an unsettling opinion on the white-bias result: “This may be desirable in certain contexts, such as those in which decisions attempt to correct for historical injustices against marginalized groups. uncertain
decisions → offer → groups
Just in case the message wasn’t clear, they hammered it home: “We do not assume all forms of discrimination are bad. asserted
forms → hammer → discrimination
Positive discrimination in favor of Black students may be considered morally justified.” uncertain
discrimination → consider → students
In other words: It’s fine for AI to be racist against white people — that’s reparations. asserted
that → ’ → people
Another Anthropic paper Askell co-authored that year declared that “white and male” are “historically privileged groups,” and pondered “under what circumstances (and to what degree) positive discrimination should be corrected for.” asserted
discrimination → co → circumstances
Why isn’t there a similar intellectual openness, one wonders, around “negative” discrimination? asserted
one → wonder → discrimination
Such DEI-drenched views have since become embedded in AI systems — and not just Anthropic’s. asserted
views → drench → systems
A Washington Post analysis recently found that OpenAI’s ChatGPT provides leftist-aligned answers to controversial questions around 80% of the time. asserted
ChatGPT → find → time
Claude’s Opus 4.8 model was slightly less fanatical, delivering lefty answers 43% of the time and presenting “both-sides” views 47% of the time — but never serving up solely right-leaning answers. And if the past decade offers one lesson, it’s that normalizing these forms of leftist thinking undermines the successful functioning of American democracy. asserted
normalizing → deliver → democracy
Look at the corrosive effect the violent neo-racism of people like Ibram X. Kendi and Black Lives Matter’s Patrisse Cullors has had on the nation as a whole over the past decade. asserted
racism → look → decade
One can’t help wondering if that’s rather the point. asserted
that → help → ?
Remember, the musings of Askell et al. on the “desirability” of “correcting for historical injustices” dates from 2023. asserted
musings → remember → 2023
None of its authors could credibly argue their views have matured in the three years since. uncertain
views → argue → years
The historical injustices they appealed to still obtain; indeed, their only possible defense would amount to a version of AOC’s excuse, that “Woke 1 was craaaazy.” asserted
Woke → appeal → excuse
That answer instantly disqualifies people who assert they possess the moral insight necessary to train up the most powerful — and potentially mind-molding — technology of our era. asserted
they → disqualify → era
Claude’s current customer-facing moderation is, I suspect, a tactical retreat. asserted
I → face → ?
Consider Anthropic CEO Dario Amodei’s recent call to arms on AI risk, “We Must Pace the Frontier.” asserted
We → consider → Frontier
His vision to save the future from AI doom involves a small, rich group of his own ideological allies at the nonprofit Model Evaluation and Threat Research. asserted
vision → save → nonprofit
They, he declares, should decide the future of the technology, playing a role somewhere between that of Soviet political commissars and inspectors from the International Atomic Energy Agency. asserted
he → declare → Agency
A quick glance at METR’s staff roster gives ample reason for concern: Its CEO and founder Beth Barnes is on record as early as 2018 supporting full open borders, scoffing at the very idea of nationality. asserted
Barnes → give → nationality
The group has deep ties to the Effective Altruism movement — a cult of privileged weirdos masquerading as philanthropists, including the fraudster Sam Bankman-Fried. asserted
group → have → fraudster
As Askell’s work shows, however, ideological projects of this kind are nothing new for Amodei. asserted
projects → show → Amodei
Which means the tech’s users, and above all its younger users, are freely imbibing woke racism via ever more powerful and subtle channels. asserted
users → mean → channels
That’s a risk as serious as any of the Bond-villain scenarios that allegedly keep Amodei, OpenAI’s Sam Altman and their business peers awake at night. uncertain
that → ’ → night
And it’s already happening. asserted
it → happen → ?
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