Miami AI Club · Education Task Force

Miami AI Club · Education Task Force

Where AI in Education
Moves Into Practice.

A curated, operator-led initiative working with real institutions to turn AI in education from fragmented experimentation into structured, responsible implementation.

Real Classrooms — Real Institutions — Real Implementation
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2+ Yrs
From early exploration to active implementation
3 Pillars
Research · Pilots · Executive Roundtables
Miami-Based
Built locally with frameworks designed to travel

Overview

An execution layer,
not a discussion forum.


The MAIC Education Task Force was built around a practical question: What does responsible AI adoption in education actually look like when real institutions have to implement it?

That answer does not come from theory alone. It comes from teachers, school leaders, pilots, governance questions, institutional constraints, and the discipline to document what works and what does not.

This task force exists to close the gap between AI conversation and educational reality.

Why It Exists · Why Now

  • The adoption gap is widening. AI tools are entering learning environments faster than schools can build the frameworks to govern them.
  • Educators need practical guidance. Most institutions are being asked to react before they have a model for responsible implementation.
  • Classroom reality matters. This work is grounded in actual school environments, not abstract assumptions about how adoption should happen.
  • Miami is well positioned. Its institutional diversity, civic energy, and cross-sector connectivity make it a credible place to test what can later be adapted elsewhere.

What We’ve Built

A deliberate evolution
from exploration to implementation.


The task force has developed in stages. Each phase has been used to deepen the work, strengthen the practitioner base, and move from conceptual discussion toward deployable models.

Year One
AI & Emotional Learning
Early work focused on the human side of AI in education — the teacher-student relationship, emotional development, and the principle that AI should augment learning rather than flatten it.
Year Two
Roundtable + Whitepaper
The first MAIC education roundtable brought together educators, technologists, and institutional leaders. The output was a whitepaper that moved the conversation from general enthusiasm to concrete classroom and governance questions.
Current Phase
Research, Pilots, and Structured Implementation
The task force now operates through research and evidence building, pilot execution with partner institutions, and executive roundtables designed to surface practical blockers and accelerate responsible adoption.

Current Work · Three Pillars

01
Research & Evidence
Building a grounded body of evidence on AI in education through whitepapers, structured observations, and practitioner-led analysis focused on readiness, emotional learning, teacher adoption, and implementation quality.
02
Real-World Pilots
Supporting pilot programs in learning environments to test responsible AI integration, including teacher workflows, student feedback systems, and classroom-level deployment models with measurable outcomes.
03
Executive Roundtables
Convening selected leaders across education, technology, and policy to convert fragmented perspectives into actionable frameworks, stronger partnerships, and documented next steps.
In Development
AI Readiness Framework
A structured framework to help schools assess whether they are truly prepared for AI adoption across infrastructure, culture, teacher readiness, governance, and student usage patterns.
In Development
Responsible AI Playbook
A living implementation guide shaped by roundtables, pilot insights, and real classroom observations — designed for leaders who need practical direction, not abstract principles.

What Makes This Different

Academic Abstraction
Practitioner-Led Execution
This work is informed by educators, operators, and institutional partners dealing with implementation in real conditions, not just observing it from a distance.
Vendor-Driven Agenda
Independent Infrastructure
The task force is not built to sell a product. Its value comes from helping institutions make better decisions about adoption, governance, and implementation quality.
Open-Ended Community
Curated Working Group
Participation is selective. The goal is not volume. The goal is signal, trust, and the ability to move serious work forward with the right people in the room.

“This is not a think tank. It is an execution layer — a place where AI in education is tested, clarified, and made operational.”

Strategic Direction

Building Miami into a
credible testbed.


The long-term opportunity is larger than a local initiative. The frameworks, pilot learnings, and governance models developed through this task force are meant to become exportable references for institutions beyond Miami.

That includes building a stronger bridge between local implementation and broader AI readiness conversations in education, as well as contributing practical guidance to the institutions that have to make adoption decisions now.

Trust, authorship, and identity in AI-assisted learning environments are also becoming central questions. As AI enters assessment, writing, and classroom workflows, schools will need better models for accountability and verification.

The task force is positioning Miami as a place where those questions are not just discussed — they are worked through in practice.

Alignment Priorities

  • Institutional readiness. Helping schools and colleges assess what responsible adoption actually requires before scaling tools across learning environments.
  • Portable frameworks. Creating playbooks and models that can travel beyond one city or one school system.
  • Cross-sector trust. Bringing together education, technology, and governance perspectives so implementation does not outrun accountability.
  • Measured progress. Building from pilots, documentation, and practitioner feedback rather than slogans or one-off demos.

Who This Is For

Designed for people who are
actually responsible for implementation.

School & District Leaders
Decision-makers navigating AI adoption, governance, faculty alignment, and institutional readiness across K-12 environments.
Higher Education Leaders
Universities and colleges seeking practical implementation models around teaching, assessment, policy, and operational readiness.
Educators & Practitioners
Teachers and education operators who want grounded frameworks shaped by classroom reality rather than top-down assumptions.
Builders, Policymakers & Partners
Organizations contributing tools, governance thinking, research, or implementation support aligned with responsible AI adoption in education.

Members

A curated group of educators, operators,
and AI leaders.

NS
Nima Schei
Founder, Miami AI Club · Founder, Hummingbirds AI
Leads the task force with a focus on real-world AI implementation, identity, trust, and governance across education and other regulated environments.
SZ
Sara Zargaran
Operations & Execution
Supports partnerships, coordination, and execution across task force initiatives, helping move ideas into structured action.
SN
Dr. Susan Neimand
Co-Lead, Education Task Force
Brings deep expertise in education leadership and helps translate AI into meaningful, practical outcomes for classrooms and institutions.
TL
Teri Logan
Education Leadership
Contributes an educator’s perspective on institutional strategy, adoption, and how AI can be integrated without losing the human core of learning.
JR
Dr. Jila Rezaie
Miami Community Charter School
Leads real-world classroom experimentation and helps ground the task force in the operational realities of school-level implementation.
TS
Tarja Stephens
Workforce & Education Transformation
Brings a strategic view on how AI in education connects to workforce readiness, institutional relevance, and future-of-work outcomes.
BD
Bogdan Daraban
Barry University
Supports higher education collaboration and helps align task force initiatives with broader academic institutions and leadership ecosystems.
ET
Erika Twani
Author & Global Education Thought Leader
Contributes a globally informed perspective on human development, educational transformation, and the long-term implications of AI for learning.
AV
Ankit Virmani
Applied AI Strategy
Brings structured thinking around applied AI systems, implementation architecture, and how emerging tools can scale responsibly in institutional settings.
PA
Pedro Santos Acosta
Engineering & Technology Leadership
Adds a systems-level perspective on infrastructure, technical deployment, and what sustainable implementation requires behind the scenes.
SI
Steve Iglesias
Mary Brickell Academy
Brings K-12 school leadership perspective and helps shape practical, school-level pathways for AI adoption and innovation.
EL
Emily Luskinde
Responsible Data Usage
Contributes expertise in responsible data practices, helping ensure AI integration in education remains ethical, credible, and fit for institutional use.