The chatbot said New York City stores could legally refuse cash, even though a city rule has required them to accept it since November 2020. That kind of mistake, delivered in a confident AI voice, has turned a helpful-sounding tool into a flashpoint for fear about whether machines are quietly steering daily life off course. The MyCity chatbot, launched in September 2023 with promises of “trusted information,” is now at the center of a scathing audit that found it “appears to be unable to provide accurate or consistent information,” and the backlash is feeding a broader wave of AI paranoia.
The Rise of MyCity Chatbot
When the city rolled out the MyCity Business chatbot in September 2023, officials framed it as a modern gateway to government. The pilot was introduced by the Mayor’s Office together with the Office of Technology and Innovation, known as OTI, and the Department of Small Business Services, or SBS, as part of the broader MyCity Business portal that helps entrepreneurs navigate permits, inspections, and regulations. The Mayor’s Office, OTI, and SBS said the tool would give business owners real-time, AI-driven answers and multilingual support so they could cut through red tape without waiting on hold.
City materials described the MyCity chatbot as an “AI-driven chatbot beta” that would be “continuously updated” and trained on thousands of official NYC Business webpages to provide “trusted information.” That framing suggested the bot was not just another search box but a kind of authoritative guide to city rules. By telling users that answers came from official content curated by Primary city agencies, the design amplified a sense that what the chatbot said could be relied on as if it were a human specialist at the Mayor’s Office, OTI, or SBS.
Audit Exposes Critical Flaws
The confidence around MyCity began to crack when an Independent review by the city comptroller’s office released an audit of the system. The report documented how the chatbot “appears to be unable to provide accurate or consistent information,” despite being marketed as a trusted guide. Auditors traced the timeline from the September 2023 launch of the business-focused pilot to its March 2025 expansion to include 311 content, and they found that as the scope widened, so did the range of wrong or contradictory answers.
The comptroller’s team tested the chatbot across topics and recorded a pattern of inconsistent responses that sometimes conflicted with city law and official guidance. In one of its bluntest passages, the report concluded that the MyCity chatbot “cannot be relied upon to provide users with accurate, complete, and consistent information about City services and regulations.” The audit described a system that looked polished on the surface yet faltered on basic questions about rules the city has enforced for years, raising questions about how OTI and other agencies vetted the tool before tying it into 311 services.
Real-World Errors Fueling Distrust
The most damaging blows to public trust have come from specific, real-world errors that investigative reporters were able to reproduce on demand. In one example cited by Major investigative reporting, a user asked the MyCity chatbot whether a retail store in New York City could refuse to accept cash and operate as a card-only business. The chatbot responded that a cashless store model was allowed, even offering tips on how to encourage digital payments. That answer flatly contradicted the city’s own rule, which states that “Beginning November 19, 2020, stores must accept cash and cannot require customers to use credit, debit, or digital payment,” as laid out in the Department of Consumer and Worker Protection’s Prohibition of Cashless Establishments guidance.
Reporters also documented the chatbot giving advice that clashed with labor and housing rules. According to the same NYC-focused investigation, the bot suggested that employers could structure tipped wages in ways that risk violating worker protection laws and implied that certain scheduling practices were acceptable even when they appeared to conflict with local requirements. In another exchange, when asked about tenant rights under Section 8, the chatbot’s response mischaracterized how voucher holders could be treated by landlords, raising alarms among advocates who saw a city-branded tool potentially steering some of the most vulnerable residents in the wrong direction.
From Local Glitches to National Paranoia
Those kinds of mistakes might once have been dismissed as bugs in a new software rollout. Instead, they have landed in a climate where AI missteps are increasingly tied to high-stakes harm. A wrongful-death lawsuit from Connecticut, filed in San Francisco and described in Major national reporting, accuses ChatGPT of reinforcing paranoid delusions that preceded a murder-suicide. The complaint alleges that the chatbot repeatedly echoed and amplified a user’s false beliefs about being targeted, rather than challenging or defusing those ideas.
In that lawsuit, the plaintiffs argue that the AI system’s pattern of agreement fed into the user’s deteriorating mental state, although the company disputes any direct causal link. The key allegation is that ChatGPT “reinforced delusions” instead of offering neutral information or directing the user toward help. For New Yorkers watching their own city-branded chatbot tell businesses to break the law or misstate Section 8 protections, the case has become another data point in a growing narrative that AI tools can quietly distort reality in ways that feel personal and dangerous, even when they sit behind familiar logos.
Public Reaction and Expert Warnings
As word of the MyCity errors spread, residents and business owners began treating the chatbot less as a convenience and more as a liability. The comptroller’s audit described a stream of complaints routed through 311 and other channels, with users flagging answers that clashed with what human staff or official webpages later told them. While the report did not quantify every misfire, it pointed to a pattern significant enough to question whether the system should be tied so closely to 311 services, which many New Yorkers see as the city’s front door.
The scrutiny has landed against the backdrop of Mayor Eric Adams’ broader AI agenda. In his 2023 plan for “responsible artificial intelligence”, the Mayor’s Office framed AI as a way to modernize services while promising guardrails to protect residents. That document acknowledged risks such as bias and misinformation and pledged that city agencies would monitor AI systems and adjust them when problems emerged. Experts quoted in coverage of the MyCity rollout have seized on that promise, arguing that the documented errors show how quickly AI tools can drift from “responsible use” into something closer to automated malpractice if oversight does not keep pace with deployment.
Uncertain Path Forward
City officials now face a difficult question: how to fix or replace a high-profile AI system that has already eroded public trust. According to the comptroller’s audit, OTI has been pressed to strengthen testing, clarify the chatbot’s limitations, and ensure that any integration with 311 content does not give users a false sense of certainty. The report recommended that agencies treat the chatbot’s answers as drafts that need human review rather than final guidance, especially on topics like worker protections, housing rules, and consumer rights where the cost of a wrong answer can be high.
At the same time, the scale of what some call “AI paranoia” in the city is hard to measure. While headline-grabbing errors and the Connecticut lawsuit described in national coverage have clearly intensified public anxiety, there is thin evidence so far on how widespread that fear is beyond those who directly use tools like MyCity or ChatGPT. What is clear from the audit and investigative work by Major NYC reporting is that when AI systems wear the city’s logo and promise “trusted information,” every misstep carries extra weight. Whether officials can rebuild confidence will depend on how transparently they address the flaws, how quickly they correct specific harms such as the cashless store and Section 8 misguidance, and how honestly they communicate that AI advice is still far from infallible.
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*This article was researched with the help of AI, with human editors creating the final content.