Audience

K – 12 Administrators

Presenter Name(s)

David Hatami, Ed.D

Presenter Bio(s)

Dr. David Hatami is the Founder and Managing Director of EduPolicy.ai, an organization dedicated to helping higher education institutions navigate the responsible integration of AI. EduPolicy.ai specializes in developing clear, adaptable, and ethically grounded AI policies that balance innovation with academic integrity. With deep expertise in AI Literacy, AI Ethics, AI Policy development, and institutional governance, EduPolicy.ai collaborates with administrators, faculty, and students in the K12 & Higher Education space to create comprehensive frameworks that ensure consistency, and transparency, across all disciplines. Dr. Hatami was also published by Harvard Business Impact in April 2025.  https://www.hbsp.harvard.edu/inspiring-minds/guidelines-effective-ai-policy

Drawing on extensive experience in higher education administration, teaching, and faculty and student engagement, Dr. Hatami brings a holistic approach to educational innovation. His career spans diverse educational settings, including traditional universities, community colleges, and proprietary institutions, where he has led larger scale development initiatives in faculty management, online pedagogy, and institutional policy development. Beyond consulting, he is a sought-after keynote speaker and workshop leader, advocating for forward-thinking AI policy frameworks that align with both ethical imperatives and institutional needs. His passion for cross-sector collaboration is also evident in his forthcoming book, Rethinking Approaches to AI Policy & AI Ethics Creation in K-12 & Higher Education.

Description

This is part two of a two-part series which aims to equip Massachusetts K–12 school and district leaders to evaluate, govern, procure, and communicate about AI in ways that protect students, support staff, and meet community and School Committee expectations. 

Part one built foundational leadership competence across AI literacy, ethics, policy, and security for immediate decision-making.   

Part two will convert those foundations into durable systems for governance, privacy, procurement, instructional integrity, and continuous improvement.

Session 1:  AI Governance & AI Policy Architecture: The Basics

Districts need governance structures that make good decisions quickly without bureaucratic paralysis or inadequate oversight, requiring clear authority distribution and decision-making processes that function within existing organizational constraints..

Administrators will be able to implement a fast, safe approvals pipeline, assign roles with accountability, and prepare concise Committee briefings that set predictable policy review cycles.

Session 2:  Data Governance: Privacy & Security in Practice

Student privacy protection requires understanding complex data flows, vendor practices, and legal requirements while implementing practical safeguards that staff can follow and administrators can monitor without extensive technical expertise.

Administrators will be able to require DPIA before any pilot, enforce data minimization and deletion commitments, apply role-based access controls, and run a calm, documented incident response with appropriate communication thresholds.

Session 3:  Procurement, Pilots & Vendor Management

Educational procurement processes are slow and bureaucratic, but AI technology evolves rapidly, requiring administrators to balance thorough evaluation with timely decision-making while avoiding vendor lock-in and ensuring educational value.

Administrators will be able to run due-diligence that favors trustworthy vendors, avoid lock-in with contract language, and make go/no-go decisions based on pilot evidence rather than marketing claims.

Session 4:  Instructional Integrity: Accessibility & Change Management

Staff need clear guidance about appropriate AI use that preserves learning objectives and accommodations for students with disabilities, while avoiding both technology paralysis and uncritical adoption that undermines educational goals.

Administrators will be able to communicate a clear integrity stance that emphasizes verified learning processes, provide practical exemplars to departments, preserve accommodations for students with services, and sequence change so it is sustainable.

Session 5:  Transparency, Metrics & Continuous Improvement

Communities expect transparency about AI use in schools, but administrators need sustainable reporting systems that demonstrate responsible oversight without creating excessive workload or violating student privacy through over-disclosure.

Administrators will be able to meet community expectations for transparency about AI use through sustainable reporting systems that demonstrate responsible oversight without creating excessive workload or violating student privacy through over-disclosure, maintain transparent AI programs that improve over time and survive leadership transitions, and demonstrate to families how safety and learning are effectively monitored.

Synchronous / Asynchronous

Synchronous

Location

Live via Zoom; Sessions will also be recorded

Dates & Times

Tuesday & Thursday, November 18th & November 20th

Tuesdays, December 2nd, December 9th &  December 16th

9:30am – 11:30am

PDPs

10 PDPs

Credit

n/a

Cost

$200 ACCEPT members/$240 non-members for entire series

$50 ACCEPT members/$60 for an each individual session

Team Rates Available

Registration Deadline

November 10th, 2025