NYC Schools AI Policy 2026: Keeping Teachers at the Center
NYC Schools AI Policy 2026: Keeping Teachers at the Center
As artificial intelligence becomes more common in K–12 education, school districts are taking a closer look at how technology supports student learning and classroom instruction.
In September 2026, New York City Public Schools (NYCPS) announced new artificial intelligence (AI) and screen time guidelines for the 2026–27 school year. The policy includes a temporary restriction on student-facing generative AI for younger students, limited AI opportunities for high school students, and a broader focus on evaluating the technology used in classrooms.
While much of the conversation has focused on restricting AI, the guidance raises an important question for educators and school leaders:
How can schools embrace useful educational technology while keeping teachers and meaningful instruction at the center of learning?
The answer starts with understanding the policy and recognizing the role that thoughtfully designed instructional tools can play in supporting educators.
Understanding NYC’s New AI Policy for Schools
The NYCPS AI guidance establishes different expectations for students based on grade level and instructional needs.
For the 2026–27 school year, the policy includes:
- Grades 2-K–8: A one-year moratorium on student-facing generative AI tools.
- Grades 9–12: Limited access to approved AI programs through supervised pilots and certain career-readiness activities.
- AI literacy: Two required 45-minute AI literacy modules for high school students.
- Screen time: Recommended limits of 30 minutes per day for individual screen use in grades 3–5 and 45 minutes for grades 6–8, with separate restrictions for younger students.
- Accessibility: Continued access to necessary assistive technologies and accommodations for students with disabilities and multilingual learners.
The guidance also prohibits companion chatbots across grade levels.
Importantly, these restrictions focus on particular uses of generative AI and student technology. They do not represent a blanket prohibition on all digital learning tools.
NYCPS has also committed to strengthening its evaluation of classroom technology, with increased attention to instructional value, student privacy, safety, and effectiveness.
Source: NYC Public Schools — Guidance on Artificial Intelligence and Screen Time
What NYC’s AI Guidance Means for Teachers
One of the most important distinctions in the NYC schools AI policy is the continued role of teacher judgment.
Under the guidance, educators may use approved AI tools for instructional planning and operational tasks, subject to district privacy, security, and procurement requirements.
However, AI is prohibited for grading, behavior monitoring, and placement, promotion and graduation decisions.
This distinction reinforces an important principle: technology should assist educators, not make critical instructional decisions on their behalf.
Teachers bring context, experience, and an understanding of individual student needs that technology alone cannot replicate.
They know when a student needs additional practice, when a different instructional approach may be helpful, and how to interpret assessment results within the larger picture of student learning.
The most valuable educational technology helps teachers act on that expertise more effectively.
Why Teacher-Led Assessment and Practice Still Matter
As districts review their classroom technology, it is worth considering how digital tools support the fundamentals of effective instruction.
Not every useful educational technology requires generative AI.
Teacher-directed practice and assessment platforms can help educators deliver targeted learning opportunities, monitor student understanding, and identify areas where additional instruction may be needed.
For example, educators can use digital assessment tools to:
- Assign standards-aligned practice that reinforces classroom instruction and learning objectives.
- Provide timely feedback that helps students understand mistakes and strengthen their skills.
- Monitor student progress through assessment data and performance reporting.
- Identify learning gaps to inform reteaching, intervention, and differentiated instruction.
- Maintain instructional oversight by selecting assignments and determining how results inform the next steps.
These capabilities support a classroom where technology helps organize learning and make information accessible while educators remain responsible for instructional decisions.
The goal is not to eliminate technology from education. It is to ensure that the tools schools use serve a clear educational purpose.
Evaluating Classroom Technology Beyond AI
NYC’s guidance also highlights a broader conversation about how schools evaluate educational technology.
When considering the role of a digital learning platform, school and district leaders may benefit from asking several important questions:
Does the tool support a clear instructional objective?
Technology should help educators and students work toward specific learning goals rather than simply adding more screen time.
Does it preserve teacher oversight?
Educators should be able to determine what students practice, how progress is measured, and how the information supports instruction.
Does it provide meaningful information about student learning?
Assessment and reporting tools are most valuable when they help teachers recognize strengths, identify gaps, and make informed instructional decisions.
Does it meet district requirements?
Privacy, security, accessibility, procurement, and instructional effectiveness are all important considerations when evaluating classroom technology.
These questions extend beyond generative AI. They apply to nearly every digital resource used in today’s classrooms.
Supporting Teacher-Led Learning with Castle Learning
At Castle Learning, we believe educational technology should support the expertise of teachers and help students build confidence through meaningful practice.
Castle Learning provides a digital practice and assessment platform that allows educators to create and assign standards-aligned learning activities across mathematics, English language arts, science, and social studies.
With Castle Learning, teachers can select questions from an existing content library, create their own assignments, provide students with instructional feedback, and review performance data to inform their teaching.
The platform supports teacher-directed instruction through capabilities such as:
- Standards-aligned questions and customizable assignments
- Instructional feedback through hints and explanations
- Automated scoring for supported question types
- Student performance reporting and progress monitoring
- Flexible assignment settings based on instructional goals
These capabilities give educators tools to reinforce classroom learning while maintaining control over assignments and instructional decisions.
As districts review their educational technology, Castle Learning welcomes conversations about how its features support teacher-led practice and assessment, including questions about district-specific requirements.
Keeping Teachers at the Center of Educational Technology
New York City’s 2026–27 AI guidance is an important reminder that adopting technology in schools should never be the goal on its own.
Whether districts are evaluating generative AI, traditional assessment platforms, or other digital learning resources, the priority remains the same: supporting meaningful learning experiences for students.
Technology can help provide practice, organize information, deliver feedback, and make student progress easier to understand. But teachers remain essential to interpreting that information, guiding instruction, and helping students succeed.
As schools continue navigating changing technology policies, one principle should remain constant:
The best educational technology strengthens the work teachers do, rather than replacing it.
Explore Teacher-Led Practice and Assessment with Castle Learning
Looking for ways to support standards-aligned practice, meaningful feedback, and data-informed instruction?
Discover how Castle Learning helps educators create learning opportunities that keep teachers at the center.
By. Danielle Cox
Danielle is a New York State Education Solutions Consultant for Harris Education Solutions, bringing more than 28 years of experience in education. Prior to joining HES, Danielle served as a classroom teacher, reading specialist, and school administrator. She now partners with school and district leaders to deliver tailored solutions that support student success, data-informed decision-making, and operational efficiency.
Editorial Note: This article is based on publicly available guidance from New York City Public Schools (NYCPS) and is intended for informational purposes only. It does not establish or imply product compliance, certification, endorsement, or approval by NYCPS. School districts should consult current NYCPS policies and applicable review and approval processes when evaluating educational technology.




