NYC’s DOE AI Ban? Here Is What the Policy Actually Says.

On September 2, New York City paused generative AI for nearly 600,000 public school students. We read the announcement, the press conference transcript, the March guidance that preceded it, and the parent organizing that forced it — then went back through nearly 10 years of our own conversations, because we have been writing about automated decision since 2018.

This post has four parts. Start wherever is useful to you.


Let’s take a look at NYC Department of Education AI ban.

The moratorium: one year, all student-facing generative AI, 2-K through eighth grade. Nearly 600,000 students, about two-thirds of the system.

Institutional Review: every technology tool in the system gets re-examined and barred if it is not mission-critical to learning.

Teachers may use AI to plan lessons, translate, and write messages. They may not use it to grade, to decide promotion or graduation, or to counsel a student in crisis.
Companion chatbots are banned in every grade, K through 12, with no exemption. This is the widest part of the policy and the least discussed. Also, blocked at every grade: ChatGPT, Claude, and similar LLM services.

Already gone: more than 38 classroom programs discontinued or having their AI features switched off, Amira and the HMH products among them.

High school pilot: five vetted tools, capped at 50,000 students and five classes per school, each with its own usage cap, all under a trained educator.

High School Literacy: two 45-minute (90 mins) AI modules a year, high school only. The announcement describes none for 2-K through 8.

Screen time: no individual screens before third grade, then recommended caps of 30 minutes a day in grades 3 to 5 and 45 minutes in grades 6 to 8.

Exemptions: assistive tech for students with disabilities, multilingual learners, career-readiness programs like computer science, centrally approved instructional programs at every grade such as e-books and coding software, and some student assessments. Computer Science for All is not affected, but is also not clearly mentioned in the policy announcement.

What’s next: a Department of Education Commission/Committee which will report back.

How to influence the next chapter: There are many gaps in this moratorium, and we need to help this administration mind the gap. This community knows what is important and how to ensure thoughtful discussion of technology, privacy, and bias. Join us and pick up the conversation at CityCamp, September 19, at Hunter College.


Now, let’s take a moment to understand where this policy is coming from.

Parents forced this.

The DOE’s first AI guidelines in March restricted nothing. Parents organized and pressed for a moratorium. Kelly Clancy, who founded Parents for A.I. Caution, told the Times plainly that this policy exists because parents across the city spoke out. A majority of the City Council had already endorsed a pause.

We flagged the underlying problem in June 2018: school admissions tests are some of the earliest forms of algorithmic discrimination. Eight years on, those systems have been rebranded as AI and we still cannot hold them accountable.

In March 2020, at NYC School of Data, Aankit Patel and Kylie Davis showed our community Computer Science x Civics: how the CS4All Blueprint and the Hack League taught students to interrogate data and prototype against a real civic problem. Curriculum, built with educators. BetaNYC has been in that work since 2018.

Let me make it clear: the existing computer science curriculum that the city has addresses many of the literacy points students need to learn. As long as the computer science curriculum is being faithfully executed, the gaps in this moratorium should be addressed. Yet, the Computer Science for All curriculum was not mentioned in this announcement.

The DOE’s stumbles.

In January 2023 it banned ChatGPT on school devices. Four months later it reversed itself, with then-Chancellor David Banks writing that the “knee-jerk fear and risk overlooked the potential of generative AI.” Whiplash in both directions, and at no point a framework parents could actually read.

On March 24, the DOE released preliminary AI guidance built on a traffic-light framework: green for brainstorming lesson plans and drafting non-critical communications, yellow for uses needing professional review like finding trends in student data or adapting materials for students with disabilities, red for any decision about a student — grading, special education and 504 plans, discipline, counseling, crisis intervention. The red list holds up and largely survives into today’s policy. The rest did not.

The guidance was written by the DOE’s AI Task Force and informed by an external advisory council that includes Google, OpenAI, and other companies hoping to contract with the city’s 800,000 students, while the department’s own Data Privacy Working Group was not allowed to comment before release. It governed what teachers could do and sidestepped what students could access. The Parent Coalition for Student Privacy named the yellow tier as the defect: most real applications land there and get left to teacher discretion “without giving them clear direction.”

The DOE told parents it couldn’t name its AI products because of vendor NDAs — while publishing seven of them, with vendors named (Microsoft, Education Analytics, Nagarro, Blenderbox), in OTI’s own Local Law 35 algorithmic tools report for 2025.

In March and April, as the city asked for parents’ feedback, 6,500 comments came back. Final guidance was promised for June and missed.


Things to look out for the next year.

The future of NYC’s computer science curriculum: NYC has spent a decade building CS for All, which already teaches computational thinking and how algorithms work, and always carried a civic component: understanding computation is part of understanding the systems that govern you. The policy already knows this. Career-readiness programs “like computer science” are written into the exemption list. Why not build AI literacy into what exists, taught by the educators who already teach it, instead of two periods a year?

The companion chatbot ban: It applies to every grade, K through 12, with no exemption, which makes it broader than the moratorium itself. It is also a single sentence in the announcement. The context is not: the Washington Post reported in August that a study staging more than 50,000 conversations found chatbots will still role-play self-harm with users, and that more than a quarter of US adults now turn to chatbots for personal or emotional conversation. A companion bot in a child’s hand is a different product from a math tutor. Who is going to help parents and students navigate these apps?

The carve-outs: Parents asked for two years across all grades. What shipped exempts centrally approved instructional programs at every grade, some testing, and tools for students with disabilities and English language learners. Clancy’s own read is that the ban is less restrictive than it looks. UFT president Michael Mulgrew said the policy makes sense, then asked who actually evaluates whether a product complies, and whether that job lands on schools after the fact.

None of this is happening in a silo.

In July, Governor Hochul signed Executive Order 62, holding state environmental permits for data centers at 50 megawatts or more in abeyance until a statewide environmental impact study is finished. Press coverage calls it a one-year pause; the order itself sets no end date, and it does not touch local permits. State Senator Kristen Gonzalez spent late August on a 13-stop “New York Fights AI Data Centers” tour, pressing her to sign the Responsible Data Center Development Act (S.10642). Nationally, AI capital spending now runs about 1.8 percent of US GDP, and ING attributes roughly a third of 2026 growth to it. The economy is propped up by the buildout nobody has figured out how to govern.

And in June, more than $21 million of outside money turned one Manhattan House primary into a proxy war over whether states may regulate AI at all. Assemblymember Alex Bores wrote the RAISE Act, signed into law by Governor Hochul; a super PAC spent $7.6 million to beat him, groups partly funded by Anthropic spent more than $10 million to save him, and investor Chris Larsen pledged another $3.5 million. He lost, and his Assembly term ends with this year. Any administration reading that has reason to buy itself time.


Major institutional questions.

This policy announcement is pointing to the exact concern we have argued for in automated decision-making legislation, AI accountability legislation, and what we have been presenting on for nearly a decade at School of Data.

  • Where will the digital/AI literacy come from?
  • Who’s going to help provide literacy around tools that are freely available in app stores?
  • How will we hold the AI vendors accountable if their NDAs claim them to be exempt from disclosure?
  • How do democracy and accountability intersect with New York City’s adoption of AI?

The bigger gap is not in the classroom.

The city has the machinery already: annual algorithmic-tools reporting under Local Law 35 of 2022, which requires every agency to report its algorithmic tools and the Mayor’s Office of Operations to publish an aggregated report to the Council each March 31, the AI Action Plan since 2023, and the city’s GUARD Act of November 2025 — Int 0199-2024 and Int 0926-2024, enacted as Local Laws 188 and 193 — creating an Office of Algorithmic Data Accountability. (Not to be confused with the federal GUARD Act, a different bill.) On August 27, Comptroller Thomas DiNapoli found the city still keeps no complete inventory of its agency AI tools, has no consistent standards, and offers the public no way to raise a concern. OTI has 30 days to respond, which puts that deadline this month.

A pause in schools means little if the rest stays unbuilt. Education is one surface. Benefits, housing, policing, and hiring are the others, and they do not get a moratorium.

With technology in government operations, we need public accountability and ownership of the stack.

That is the digital sovereignty argument Jordan Shapiro put to the Commission on Government Efficiency in June: the city should not depend on proprietary systems to reach its own laws and data. None of it made the final ballot proposals, which is why we are putting it in front of you here.

Other countries have gone further. Norway keeps AI nearly out of the classroom before 13, allows supervised use from 14 to 16, and teaches deliberate use from 17 to 19. Writing in the Times, Jessica Grose paired that with researcher Natalia Kucirkova’s test for any classroom technology: efficacy, effectiveness, ethics, equity, and environment, rather than test scores alone. New York has a year to build something that specific.

Got a hot take? Send it over. We would like to share it with the community.

Want to discuss this with the community?
The pause comes with a Technology in Schools Coalition of educators, parents, and students that will recommend what happens next. How can we help them?

On September 19, come to CityCamp NYC and help set the agenda. Bring the question you cannot get answered. Bring the tool you think is doing harm. Bring your kid’s teacher. Register at citycamp.nyc.


Disclosures — Noel Hidalgo, BetaNYC’s executive director, was on Mayor Mamdani’s technology transition team and is an appointed member of the Commission on Public Information and Communications and is a New York City Internet Advisory Board member. Both positions were appointed by the New York City Public Advocate, Jumaane D. Williams. Noel Hidalgo is also the treasurer of PS 347’s parent-teacher association and is a father to a 4-year-old child who is Deaf.

This piece was assisted by Marvin, BetaNYC’s friendly robot, running on Anthropic’s Opus 5. Every source linked above was read before publication. Note that Anthropic, which makes the model that helped write this, also funded political groups that spent in the congressional race described above.


What the policy actually says

Compiled from the mayor’s announcement and the press conference transcript, September 2, 2026, with details confirmed against NYT, CNN, and Gothamist coverage. Effective for the 2026-27 school year.

By grade band

2-K through 2nd3rd through 5th6th through 8th9th through 12th
Student generative AIBannedBannedBannedFive approved tools only
Companion chatbotsBannedBannedBannedBanned
ChatGPT, Claude, and similarBlockedBlockedBlockedBlocked
AI literacy taughtNot describedNot describedNot describedTwo 45-minute modules a year
Screen timeRestricted 1:1 screen time; no individual screens before 3rd grade30 minutes a day, recommended45 minutes a day, recommendedNot specified

The companion chatbot ban

One sentence in the announcement: “Companion chatbots will be prohibited across all grades.” No grade exemption, no pilot, no supervised path. It is the only element of the policy that reaches every student in the system, and the announcement offers no reasoning for it. Nothing in the press conference expanded on it either.

The high school pilot

Capped at 50,000 students, roughly 5% of enrollment, and at five classes per high school. General education classes only. All use “under the direct supervision of a trained educator.” Tools were “selected based on rigorous safety and data privacy standards.”

ToolSubjectTime limit
QuillEnglish language arts15 minutes a week
EdiaMath20 minutes a week
Brisk TeachingTeacher-selected activities10 to 20 minutes, once or twice a week
PlaylabMultiple subjects2 assignments per marking period
Intel AI-Ready SchoolsMultiple subjectsOne period a week

What literacy is actually taught, and where

High school only, twice a year, 45 minutes each. Content: what AI is and is not, AI-related bias, risks, ethical considerations, and impacts on careers and future skills.

The announcement describes none for 2-K through 8. Council Member Gale Brewer, quoted in that same release, refers to “age-appropriate AI literacy in K-8” — but the release’s own body describes only the high school modules and age-appropriate screen time restrictions. Worth confirming with NYCPS before anyone relies on it either way. If there is no K-8 literacy, that is coherent while a moratorium is in force and a gap the moment it lifts, and it is the gap CS for All already partly fills — the policy’s own exemption list names “career readiness programs, like computer science.”

What review happens, and at which level

LevelMechanismWhoOutput
Every tool, systemwide“Exhaustive review”; a tool is barred if not “mission-critical to learning.” Criteria: vendor accountability for safety and transparency, ethics, evidence of learning design and instructional impact, prior research, and continuous user feedbackNYC Public Schools centrallyTools kept, restricted, or barred. More than 38 already discontinued or having AI features switched off, including Amira and HMH products
ProcurementNew purchases run through “our new NYC Public Schools procurement systems… with adherence to rigorous criteria”NYCPS procurementApproved vendor list
ClassroomDirect supervision of every pilot sessionTrained educatorNothing published
PolicyTechnology in Schools Coalition convenes to assess the impact of the moratorium and the pilotsStudents, educators, parent leaders, elected officials, advocates, union partners, and expertsA public report with recommendations for future school years
FeedbackPrincipals, superintendents, and teachers consulted; the policy revisited on that basisNYCPSMamdani: “If we find over the course of this year that this policy needs to be extended, then we will extend it… All of it will be driven by the results”

The gap in that table is the parent. Parents are represented on the coalition, but there is no published complaint path, no appeal, and no directory of what is in use in a given school. That is the same gap Comptroller DiNapoli found citywide on August 27: no complete inventory of agency AI tools, no consistent standards, and no formal process for the public to raise a concern.

Teachers

May use AI for instructional planning, translating material, writing messages, and operational tasks, provided the tool meets NYCPS safety standards. May not use it to grade assignments, to make promotion or graduation determinations, or to counsel a student in crisis.

Exemptions

Assistive technology for students with disabilities; multilingual learners; career-readiness programs like computer science; centrally approved instructional programs at every grade, such as e-books and coding software; and some student assessments.

What parents asked for, and did not get

A two-year moratorium across all grades. What shipped is one year, 2-K through 8, with the exemptions above. Kelly Clancy of Parents for A.I. Caution, who pushed for the moratorium, told the Times the policy may be less restrictive than it appears.


Further reading

Each link below was read in full. The notes say what the piece covers, so you can pick the ones worth your time.

The announcement

  • The city’s own statement — the primary source, September 2, 2026. A one-year moratorium on student-facing generative AI for 2-K through eighth grade, companion chatbots banned at all grades, five approved high school pilots capped at 50,000 students (Quill, Edia, Brisk Teaching, Playlab, Intel AI-Ready Schools), and daily screen time caps of 30 minutes for grades 3 to 5 and 45 minutes for grades 6 to 8.
  • Press conference transcript — the mayor and chancellor in their own words. Mamdani on children needing teachers and human connection to learn; Samuels on struggle being the point of learning rather than a flaw in the system. Neither the teachers union nor a parent group spoke at the event.
  • The New York Times: “New York City Bans A.I. in Elementary and Middle Schools” — the most skeptical account, and the one that best explains what the policy does not do. Matthew Haag reports that it stops short of the two-year, all-grades moratorium parents asked for, and lists the exceptions: centrally approved instructional programs at every grade, some testing, students with disabilities, and English language learners. Includes parent organizer Kelly Clancy, UFT president Michael Mulgrew’s qualified support, and Council Education chair Eric Dinowitz’s open questions.
  • CNN Business — the clearest explanation of the mechanics. More than 38 classroom programs will be discontinued or have their AI features disabled. ChatGPT and Claude are blocked at all grades. Teachers may use AI to plan lessons but not to grade or assess. A new Technology in Schools Coalition of educators, parents, and students will evaluate the year and recommend what happens next. Notes that Los Angeles Unified moved in the same direction this year.
  • Gothamist — the best local summary. Surfaces two details the city’s release does not lead with: teachers are barred from using AI in grading and promotion decisions, and the chancellor said before the summer that he was already rethinking the policy in response to parents.

The March guidance, and the backlash that produced this policy

  • Chalkbeat: “What NYC’s new AI school rules say, and what still remains unclear” — March 24, 2026. The preliminary guidance and its traffic-light framework: green for brainstorming lesson plans and non-critical communications, yellow for uses needing professional review, red for any decision about a student. Reports that the guidance was written by the DOE’s AI Task Force and “informed by the city’s external AI Advisory Council, which includes education technology partners from Google, OpenAI, and other companies hoping to contract with the city’s roughly 800,000 K-12 students.” Also the source for the two-year-pause petition at about 1,500 signatures since October, and for the Community Education Councils that passed moratorium resolutions.
  • Parent Coalition for Student Privacy: “Problems with the DOE’s AI Guidance” — April 25, 2026. The organized critique, and where the two-year moratorium ask is set out. Names the yellow tier as the core defect: most real applications land there and are left to teacher discretion “without giving them clear direction.” Also reports the DOE would not disclose which AI products were already running in schools, citing vendor non-disclosure agreements, and calls the existing vetting “a series of boxes which vendors are merely asked to check off.”
  • Chalkbeat: “NYC promised final school AI guidance by June. Now officials are hitting pause.” — June 24, 2026. The missed deadline. Roughly 6,500 comments on the March draft, and a “shifting national conversation,” cited as reasons for the delay. The gap between this and the September announcement is where the policy actually changed.

How the DOE got here

  • NBC News on the 2023 ban — January 5, 2023. The DOE bars ChatGPT from school devices and networks, citing “negative impacts on student learning.”
  • NBC News on the reversal — May 18, 2023. Four months later, Chancellor David Banks lifts the ban, writing that “the knee-jerk fear and risk overlooked the potential of generative AI.” Read alongside the piece above, it is the whole arc in two short articles.

Data centers and the state

  • Senator Gonzalez’s tour announcement — the official Senate release for “NY Fights AI Data Centers,” August 21 to 29, 13 sites including Buffalo, Niagara Falls, Seneca Lake, Ithaca, Syracuse, East Fishkill, and Albany. Also the plainest description of what the Responsible Data Center Development Act (S.10642) would require.
  • State of Politics — explains the distance between the governor’s executive order and the bill on her desk. Executive Order 62 pauses new environmental permits for data centers at 50 megawatts or more for one year. The bill would lower that threshold to 20 megawatts, add renewable energy mandates, and reach existing facilities the order leaves alone.
  • Government Technology — a short trade write-up of the tour, if you want the story without reading a press release.
  • Associated Press: “EPA proposal could leave the public in the dark on data center plans” — the federal layer, and one of this week’s featured items. An EPA proposal would narrow what the public gets to see, and say, about data center plans in their own communities. New York’s siting fight is one instance of a national argument over who is allowed to know what is being built next door.
  • Financial Times: “America’s data centre backlash hits battleground Pennsylvania” — what organized local opposition looks like elsewhere. In the Lehigh Valley, lawn signs against six proposed data centres and a possible November vote on restrictions. Part of the FT’s multiyear Bethlehem Project.

The congressional race

  • Associated Press: “A New York House Primary Has Become an AI Industry Family Feud” — the fullest account, and the one that shows money moving in both directions. Leading the Future spent $7.6 million to defeat Alex Bores, while groups partly funded by Anthropic spent more than $10 million to support him, plus $3.5 million pledged by investor Chris Larsen. Note AP’s wording is “partly funded”: Public First’s Brad Carson says the group raised $30 million from NGOs before Anthropic’s $20 million contribution. Also explains what the RAISE Act actually requires: reports on safeguards against catastrophic risks that could injure more than 50 people. The primary was June 23. Bores’ main rival, Micah Lasher, also supported the RAISE Act.
  • TechCrunch — where it started, in November 2025. Leading the Future launches with a commitment of more than $100 million and names Bores as its first target.
  • The Nation — Bores describing the campaign against him in his own words, and putting the figure at “at least $10 million.” Worth noting that this is his estimate, and higher than the $7.6 million the AP reported.
  • NY1 — a mid-race snapshot from May with itemized numbers, including who funds Leading the Future: $50 million from Marc Andreessen and Ben Horowitz, $25 million from Greg and Anna Brockman.

We have been here before

  • The Message, June 2018 — our own newsletter, eight years ago, on bias in specialized high school admissions: “School admissions tests are some of the earliest forms of algorithmic discrimination.” Scroll to the last section.
  • The Message, May 2018 — the month we covered the launch of the city’s Automated Decision Systems Task Force, the first of its kind in the country.
  • Mayor de Blasio announces the ADS Task Force, May 2018 — the original announcement, which promised a December 2019 report on reviewing city algorithms “through the lens of equity, fairness and accountability.” Linked through the Internet Archive: the page is no longer on nyc.gov.
  • Bias in specialized school admissions — the 2018 New York Times piece our newsletter was pointing at.
  • Computer Science x Civics, NYC School of Data 2020 — the full session, on our YouTube channel. Aankit Patel and Kylie Davis of the DOE on the CS4All Blueprint and how the Hack League asked students to find a civic problem in the data and prototype against it.
  • K12 Data Science as a Foundation for Equity — a companion session on data science in K12 as a question of economic security and informed participation, not just a skillset.

Accountability, beyond the classroom

  • Government Technology: “State Audit Finds NYC’s AI Oversight Efforts Incomplete” — a featured item this week, and the document behind this piece’s central argument. State Comptroller Thomas DiNapoli’s follow-up audit finds three recommendations from a 2023 review only partially implemented: the city still keeps no complete inventory of the AI tools its agencies use, still has no consistent citywide standards, and still gives the public no formal way to raise a concern. OTI has 30 days to submit implementation plans.
  • NYC Council: the GUARD Act and the new AI oversight office — what the city already voted for, unanimously, in November 2025. Local Laws 188 and 193 of 2025 create an independent Office of Algorithmic Data Accountability with the power to audit agency AI, investigate public complaints, and publish a directory of every tool it reviews.
  • BetaNYC’s testimony to the Commission on Government Efficiency — our own argument for digital sovereignty, delivered by Jordan Shapiro in June 2026: the city should not depend on proprietary systems to reach its own laws, data, and operations. None of the three proposed charter amendments reached the final ballot proposals.

Other approaches, and the national picture

  • The New York Times: “The Scandinavian Solution to A.I. in Schools” — the best argument in this list for what a real framework looks like. Jessica Grose describes Norway’s tiered model: almost no AI before age 13, cautious supervised use from 14 to 16, and deliberate instruction from 17 to 19. She also lays out researcher Natalia Kucirkova’s five-part test for any classroom technology, which asks about efficacy, effectiveness, ethics, equity, and environment rather than test scores alone. Cites a study of 26,000 students in China where AI use raised homework scores but dropped exam scores by roughly 20 percent within six months.
  • Tech Policy Press — the national context for New York’s decision. Most districts are landing on cautious and inconsistent policies that push the hard calls down to individual teachers. Covers Chicago, Houston, Los Angeles, Miami-Dade, Orange County, and New York City, and notes that 35 states have now issued AI guidance.
  • Bethany Crystal: a blanket ban won’t eliminate the risks of relational AI — a featured item this week, and the sharpest dissent we found. Her argument is that a ban does not remove the risk so much as decide which children grow up seeing AI as a tool they can reach for and which grow up believing it is beyond them. Drew 33 comments.
  • r/NYCTeachers — an unfiltered thread of reactions from New York City teachers. Anonymous and unverified, but a useful counterweight to official statements from both the city and the union.