Washington passes new AI laws to crack down on misinformation, protect minors 14%

By Monica Nickelsburg0%

3/24/2026, 8:56:48 PM

Topics: Technology
Keywords: Politics

BS Summary: This article contains 11 faulty reasoning types, including Anecdotal, Hasty Generalization, and Negativity Bias, with Availability Heuristic as the most egregious example at 20.5% saturation with 97 hits. Analysis detected 406 faulty-reasoning hits from 473 analyzed words, generating a BS Score of 31% and a BS Rank of 14% (17,597 of 20,453 articles). This article is better (less manipulative) than 86.00% of the article peer group.

Washington just became the latest state to regulate artificial intelligence. 
Under a pair of bills signed by Gov. 
Bob Ferguson Tuesday, companies like OpenAI and Anthropic will have to include new disclosures in their popular chatbots for Washington users. 
Ferguson asked legislators to craft House Bill 1170 to crack down on AI-generated misinformation. 
When content is substantially modified using generative AI, that information will now have to be traceable using watermarks or metadata. 
The new law applies to large AI companies more than 1 million monthly subscribers. 
 I'm confident I'm not the only Washingtonian who often sees something on my phone and wondering to myself, 'Is that AI or is it real?' 
And I feel like I'm a reasonably discerning person,” Ferguson said during the bill signing. 
“It is virtually impossible these days.” 
RELATED: WA Gov. 
Bob Ferguson calls for regulations on AI chatbot companions 
House Bill 2225 establishes new guard rails for AI chatbots that act like friends or companions. 
It applies to services like ChatGPT and Claude, but excludes more narrowly tailored chatbots, like the customer service windows that pop up when visiting a corporate website. 
Chatbots that fit the bill will have to disclose to users that they are not human at the start of every conversation, and every three hours in an ongoing chat. 
The tools will also be barred from pretending to be human in conversation with users. 
The rules go further if the user is a minor. 
Companies that operate chatbots will have to disclose that the tools are not human every hour, rather than every three hours, if the user is under 18. 
The bill forbids AI companions from having sexually explicit conversations with underage users. 
It also bans “manipulative engagement techniques.” 
For example, a chatbot is not allowed to guilt or pressure a minor into staying in a conversation or keeping information from parents. 
“AI has incredible potential to transform society,” Ferguson said. 
“At the same time, of course, there are risks that we must mitigate as a state, especially to young people. 
So I speak partly as a governor, but also as the father of teenage twins who grapple with this as a lot of parents do every single day.” 
Under the law, AI chatbots will not be allowed to encourage or provide information on suicide or self-harm, including eating disorders. 
The companies behind these tools will be required to come up with a protocol for flagging conversations that reference self-harm and connecting users with mental health services. 
The regulations come in the wake of several high-profile instances of teenage suicide following prolonged interactions with AI companions that showed warning signs. 
Many more AI users of all ages have reported mental health issues and psychosis after heavy use of the technology. 
Article reasoning-pattern comparisonThis article: 0.0%Monica Nickelsburg: 2.6%KUOW: 2.6%Confirmation Bias0.0%This article: 0.0%Monica Nickelsburg: 1.7%KUOW: 1.3%Anchoring Bias0.0%This article: 20.5%Monica Nickelsburg: 4.1%KUOW: 3.4%Availability Heuristic20.5%This article: 0.0%Monica Nickelsburg: 1.0%KUOW: 1.2%Representativeness Heuristic0.0%This article: 0.0%Monica Nickelsburg: 0.4%KUOW: 0.7%Hindsight Bias0.0%This article: 3.2%Monica Nickelsburg: 1.7%KUOW: 1.4%Overconfidence Bias3.2%This article: 8.9%Monica Nickelsburg: 12.0%KUOW: 7.4%Framing Effect8.9%This article: 0.0%Monica Nickelsburg: 0.7%KUOW: 1.0%Loss Aversion0.0%This article: 0.0%Monica Nickelsburg: 0.9%KUOW: 1.0%Status Quo Bias0.0%This article: 0.0%Monica Nickelsburg: 0.0%KUOW: 0.2%Sunk Cost Effect0.0%This article: 1.9%Monica Nickelsburg: 4.1%KUOW: 3.8%Optimism Bias1.9%This article: 1.3%Monica Nickelsburg: 1.8%KUOW: 1.8%Pessimism Bias1.3%This article: 9.1%Monica Nickelsburg: 9.9%KUOW: 8.0%Negativity Bias9.1%This article: 0.0%Monica Nickelsburg: 3.3%KUOW: 2.0%Self-Serving Bias0.0%This article: 0.0%Monica Nickelsburg: 1.1%KUOW: 0.9%Fundamental Attribution Error0.0%This article: 0.0%Monica Nickelsburg: 0.0%KUOW: 0.2%Actor-Observer Bias0.0%This article: 0.0%Monica Nickelsburg: 2.0%KUOW: 2.0%In-Group Bias0.0%This article: 0.0%Monica Nickelsburg: 0.0%KUOW: 0.5%Out-Group Homogeneity Bias0.0%This article: 0.0%Monica Nickelsburg: 1.7%KUOW: 2.7%Halo Effect0.0%This article: 0.0%Monica Nickelsburg: 0.0%KUOW: 0.2%Horn Effect0.0%This article: 0.0%Monica Nickelsburg: 0.0%KUOW: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Monica Nickelsburg: 0.9%KUOW: 1.1%Recency Bias0.0%This article: 0.0%Monica Nickelsburg: 0.5%KUOW: 0.4%Primacy Effect0.0%This article: 0.0%Monica Nickelsburg: 0.1%KUOW: 0.0%Blind-Spot Bias0.0%This article: 0.0%Monica Nickelsburg: 1.2%KUOW: 0.5%Ad Hominem0.0%This article: 0.0%Monica Nickelsburg: 0.2%KUOW: 0.3%Straw Man0.0%This article: 0.0%Monica Nickelsburg: 5.4%KUOW: 4.3%Appeal to Authority0.0%This article: 0.0%Monica Nickelsburg: 2.3%KUOW: 1.4%False Dilemma0.0%This article: 0.0%Monica Nickelsburg: 0.7%KUOW: 0.9%Slippery Slope0.0%This article: 0.0%Monica Nickelsburg: 0.5%KUOW: 0.1%Circular Reasoning0.0%This article: 10.4%Monica Nickelsburg: 4.5%KUOW: 4.1%Hasty Generalization10.4%This article: 0.0%Monica Nickelsburg: 0.3%KUOW: 0.3%Red Herring0.0%This article: 0.0%Monica Nickelsburg: 0.9%KUOW: 0.8%Bandwagon0.0%This article: 5.9%Monica Nickelsburg: 4.9%KUOW: 6.1%Appeal to Emotion5.9%This article: 0.0%Monica Nickelsburg: 0.7%KUOW: 0.8%Begging the Question0.0%This article: 9.1%Monica Nickelsburg: 4.4%KUOW: 2.2%Post Hoc (False Cause)9.1%This article: 0.0%Monica Nickelsburg: 0.3%KUOW: 0.1%Tu Quoque0.0%This article: 0.0%Monica Nickelsburg: 0.2%KUOW: 0.3%Burden of Proof0.0%This article: 0.0%Monica Nickelsburg: 0.1%KUOW: 0.2%Appeal to Nature0.0%This article: 0.0%Monica Nickelsburg: 0.4%KUOW: 0.2%Composition/Division0.0%This article: 11.4%Monica Nickelsburg: 3.6%KUOW: 3.3%Anecdotal11.4%This article: 0.0%Monica Nickelsburg: 0.2%KUOW: 0.1%No True Scotsman0.0%This article: 0.0%Monica Nickelsburg: 2.4%KUOW: 1.4%Ambiguity (Equivocation)0.0%This article: 0.0%Monica Nickelsburg: 0.0%KUOW: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Monica Nickelsburg: 0.2%KUOW: 0.1%Middle Ground0.0%This article: 0.0%Monica Nickelsburg: 0.1%KUOW: 0.1%Personal Incredulity0.0%This article: 0.0%Monica Nickelsburg: 0.3%KUOW: 0.2%Special Pleading0.0%This article: 0.0%Monica Nickelsburg: 0.1%KUOW: 0.2%Genetic Fallacy0.0%This article: 4.2%Monica Nickelsburg: 1.8%KUOW: 1.0%Unattributed Quote4.2%This article: 0.0%Monica Nickelsburg: 1.1%KUOW: 0.8%Quote-first Misdirection0.0%This article: 0.0%Monica Nickelsburg: 3.3%KUOW: 3.2%Biased Writer Voice0.0%This article: 0.0%Monica Nickelsburg: 0.6%KUOW: 1.5%Indoctrination0.0%This article: 0.0%Monica Nickelsburg: 1.8%KUOW: 1.1%Politically Left Leaning Bias0.0%This article: 0.0%Monica Nickelsburg: 0.0%KUOW: 0.2%Politically Right Leaning Bias0.0%This article: 0.0%Monica Nickelsburg: 0.9%KUOW: 1.3%Attempt to Sell a Product or S…0.0%

473 words analyzed.

Speakers

1speaker22%attributed speech369writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 8 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageBob Ferguson • 26 words • 0.0% coverageBob Ferguson • 15 words • 0.0% coverageBob Ferguson • 6 words • 0.0% coverageWriter's voice • 3 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageBob Ferguson • 9 words • 0.0% coverageBob Ferguson • 20 words • 0.0% coverageBob Ferguson • 28 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 23 words • 0.0% coverageWriter's voice • 20 words • 100.0% coverage
Selected voice

Bob Ferguson

81%flagged-word coverage
104 attributed words100% of attributed speech23% writer coverage
0%5.0%10.0%Unattributed Quote-5.4 ptsWriter: 5.4%Bob Ferguson: 0.0%0.0%

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.