YouTube star Hank Green sets new AI policy for himself  and urges other content creators to do the same 3%

By Kelsey Vlamis48%

8/7/2026, 3:44:35 PM

BS Summary: This article contains 11 faulty reasoning types, including Availability Heuristic, Post Hoc (False Cause), and Optimism Bias, with Self-Serving Bias as the most egregious example at 6.4% saturation with 34 hits. Analysis detected 209 faulty-reasoning hits from 529 analyzed words, generating a BS Score of 8.7% and a BS Rank of 3% (29,764 of 30,584 articles). This article is better (less manipulative) than 97.30% of the article peer group.

Hank Green is setting an AI policy for himself and thinks other content creators should do the same. 
Monica Schipper/Getty Images 
Hank Green announced a new personal AI policy after backlash. 
Green apologized to fans last week and said he had become too reliant on LLMs. 
He said other content creators should also set an AI policy. 
Hank Green , the popular content creator and YouTube star, announced a new AI policy for himself on Friday  and encouraged others to do the same. 
In a video posted to the Vlogbrothers YouTube channel that he shares with his brother, author and creator John Green , Green addressed the apology he made last week about "relying too heavily on AI" for research. 
"This all started because I said I needed to realign the way I use LLMs. 
I have thought a lot about that this week. 
I'd become too reliant on them for advice, for editing, and for sourcing," Green said in the video. 
"So I'm creating an AI policy for myself." 
He outlined "The Hank Green AI Policy" as follows: 
No portion of any script will be written, edited, or outlined by an LLM. 
The thesis of a video will always originate with a human. 
No image or music in a video will be generated by AI. 
If something is accidentally included, best efforts will be made to remove it. 
Green also encouraged other content creators to make an AI policy for themselves. 
"It doesn't even have to be public. 
Just have it. 
I wish I had had it," he said. 
After criticism from some fans over his use of AI, Green apologized to his audience in a Reddit comment last week and said he would slow down or pause some of his projects . 
He said he'd pause the daily word games he produces, SMUSH and 4x3, and would post less on his Hankschannel YouTube page. 
In his latest video, Green said he'd been "so enticed by LLMs" that he was using them to start and research many different projects, all at the same time." 
"The more time I spent with it, the more every problem was starting to look like an LLM-shaped problem," he said. 
"And that's dumb." 
Green also apologized to the employees at Complexly, a nonprofit founded by the Green brothers, who help produce some of their most popular YouTube shows, like SciShow and CrashCourse. 
He said Complexly already had an AI policy and defended the work it had produced. 
"Whatever reputational hit or loss of trust I have brought upon myself here, that's mine to take and try to earn back," he said. 
Green said he plans to slow down his content production and be more "choosy" about the opportunities he pursues. 
"Making more things does not make me make better things," he said. 
"And people need to be able to absolutely trust that my takes are my takes  which they are." 
Green and Complexly did not immediately respond to requests for comment from Business Insider. 
Read the original article on Business Insider 
Article reasoning-pattern comparisonThis article: 2.3%Kelsey Vlamis: 3.5%Business Insider: 2.3%Confirmation Bias2.3%This article: 0.0%Kelsey Vlamis: 1.0%Business Insider: 0.6%Anchoring Bias0.0%This article: 5.5%Kelsey Vlamis: 2.6%Business Insider: 2.8%Availability Heuristic5.5%This article: 4.3%Kelsey Vlamis: 0.8%Business Insider: 0.7%Representativeness Heuristic4.3%This article: 0.0%Kelsey Vlamis: 0.8%Business Insider: 1.1%Hindsight Bias0.0%This article: 0.0%Kelsey Vlamis: 1.1%Business Insider: 1.6%Overconfidence Bias0.0%This article: 0.0%Kelsey Vlamis: 4.3%Business Insider: 3.6%Framing Effect0.0%This article: 0.0%Kelsey Vlamis: 1.1%Business Insider: 0.6%Loss Aversion0.0%This article: 0.0%Kelsey Vlamis: 0.6%Business Insider: 0.6%Status Quo Bias0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.3%Sunk Cost Effect0.0%This article: 4.9%Kelsey Vlamis: 2.4%Business Insider: 2.8%Optimism Bias4.9%This article: 0.0%Kelsey Vlamis: 1.4%Business Insider: 1.5%Pessimism Bias0.0%This article: 0.6%Kelsey Vlamis: 4.4%Business Insider: 4.0%Negativity Bias0.6%This article: 6.4%Kelsey Vlamis: 3.3%Business Insider: 2.0%Self-Serving Bias6.4%This article: 0.0%Kelsey Vlamis: 0.2%Business Insider: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.2%Actor-Observer Bias0.0%This article: 0.0%Kelsey Vlamis: 1.0%Business Insider: 0.6%In-Group Bias0.0%This article: 0.0%Kelsey Vlamis: 0.5%Business Insider: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.0%Kelsey Vlamis: 1.7%Business Insider: 2.4%Halo Effect0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.0%Horn Effect0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.0%Dunning-Kruger Effect0.0%This article: 1.5%Kelsey Vlamis: 0.9%Business Insider: 1.0%Recency Bias1.5%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.3%Primacy Effect0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.0%Blind-Spot Bias0.0%This article: 0.0%Kelsey Vlamis: 1.0%Business Insider: 0.2%Ad Hominem0.0%This article: 0.0%Kelsey Vlamis: 0.2%Business Insider: 0.1%Straw Man0.0%This article: 0.0%Kelsey Vlamis: 2.3%Business Insider: 2.8%Appeal to Authority0.0%This article: 2.1%Kelsey Vlamis: 0.8%Business Insider: 1.0%False Dilemma2.1%This article: 0.0%Kelsey Vlamis: 0.8%Business Insider: 0.5%Slippery Slope0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.1%Circular Reasoning0.0%This article: 2.3%Kelsey Vlamis: 2.2%Business Insider: 3.4%Hasty Generalization2.3%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.1%Red Herring0.0%This article: 0.0%Kelsey Vlamis: 1.5%Business Insider: 0.6%Bandwagon0.0%This article: 4.2%Kelsey Vlamis: 3.6%Business Insider: 2.4%Appeal to Emotion4.2%This article: 0.0%Kelsey Vlamis: 0.9%Business Insider: 0.5%Begging the Question0.0%This article: 5.5%Kelsey Vlamis: 0.6%Business Insider: 1.9%Post Hoc (False Cause)5.5%This article: 0.0%Kelsey Vlamis: 0.2%Business Insider: 0.0%Tu Quoque0.0%This article: 0.0%Kelsey Vlamis: 0.1%Business Insider: 0.2%Burden of Proof0.0%This article: 0.0%Kelsey Vlamis: 0.2%Business Insider: 0.1%Appeal to Nature0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.2%Composition/Division0.0%This article: 0.0%Kelsey Vlamis: 0.7%Business Insider: 2.9%Anecdotal0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.1%No True Scotsman0.0%This article: 0.0%Kelsey Vlamis: 0.8%Business Insider: 1.1%Ambiguity (Equivocation)0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Kelsey Vlamis: 0.3%Business Insider: 0.1%Middle Ground0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.0%Personal Incredulity0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.1%Special Pleading0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.0%Genetic Fallacy0.0%This article: 0.0%Kelsey Vlamis: 1.3%Business Insider: 0.9%Unattributed Quote0.0%This article: 0.0%Kelsey Vlamis: 1.6%Business Insider: 0.6%Quote-first Misdirection0.0%This article: 0.0%Kelsey Vlamis: 2.9%Business Insider: 2.3%Biased Writer Voice0.0%This article: 0.0%Kelsey Vlamis: 1.0%Business Insider: 1.0%Indoctrination0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Kelsey Vlamis: 0.0%Business Insider: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Kelsey Vlamis: 0.4%Business Insider: 1.2%Attempt to Sell a Product or S…0.0%

529 words analyzed.

Speakers

1speaker64%attributed speech188writer words
Selected voice

Hank Green

40%flagged-word coverage
341 attributed words100% of attributed speech0% writer coverage

No manipulation-pattern hits were found in this speaker's attributed words or the writer's voice.

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.