Audience

All educators

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 curriculum acknowledges real-world constraints including uncertain technology access, varying comfort levels among educators, and the limited time teachers have for professional development. We build progressively from discussion to exploration to creation, providing time to establish necessary infrastructure while delivering immediate value to participants. Each two-hour session delivers practical outcomes regardless of technical readiness, ensuring no educator is left behind due to technology barriers.  Participants will have time between sessions to apply their learning.  In addition, the facilitator will offer optional extensions to practice to those who want to explore more.

Session 1:  From My Classroom to My School

Before touching any AI tools, we need a shared understanding of what AI should and shouldn’t do in education. This session builds  a philosophical foundation while giving facilitators time to arrange tool access for future sessions. Starting with discussion rather than technology reduces anxiety and ensures all participants can engage meaningfully regardless of their technical comfort level.

Session 2:  Spotting Risks and Misuses

Before we engage in hands-on exploration, we need to understand what can go wrong with AI in educational settings. This session builds critical evaluation skills using demonstrations, screenshots, or shared screens if individual access isn’t ready. By focusing on observation and analysis rather than individual tool use, we ensure all participants can engage fully regardless of their technical setup.

Session 3:  Exploring AI Without Fear

With safety awareness established, we can explore freely knowing what to watch for and how to protect ourselves and our students. Technical issues are expected and normalized—this is part of learning, not failure. Partner sharing ensures everyone participates meaningfully even if individual access fails, maintaining an inclusive learning environment where no one is left behind due to technical difficulties.

Session 4:  Creativity with Guardrails

Transform AI from an  interesting toy to a practical teaching tool by creating something you’ll actually use next week. This session bridges the gap between understanding AI and integrating it meaningfully into your teaching practice.

Session 5:  Becoming an AI Leaders: Sustainable Practice for the Long Term

Move from initial experimentation to sustainable integration by building systems that last beyond initial enthusiasm. This final session ensures your AI exploration continues productively without becoming overwhelming.

Synchronous / Asynchronous

Synchronous

Location

Live via Zoom; Sessions will also be recorded

Dates & Times

Wednesday, October 15th, Tuesday, October 21st, Wednesdays, October 29th, November 5th & November 12th 

4:00pm – 6:00pm

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

October 8, 2025