Can special districts legally use AI?

Yes. Special districts can use AI within their statutory purpose, provided the use complies with Florida public-records and open-government requirements and the board has adopted an acceptable-use policy. The legal question is not whether you may use AI, but how you govern it.

Where should a special district start with AI?

Start with one well-scoped, low-stakes use case where your data is already organized, and put a governance policy and human-review step in place before you pilot. Records summarization and meeting-document preparation are common first steps.

Is our data safe if we use AI tools?

It depends entirely on the vendor contract. Confirm who owns your inputs, whether the vendor can use your data to train its models, where data is stored, and how it is deleted on termination — before any sensitive or records-exempt data touches the tool.

Does AI replace district staff?

No. Used well, AI augments staff by compressing repetitive work — drafting, summarizing, organizing, monitoring — so people can spend more time on the judgment-intensive work only humans should do.

What should be in an AI vendor contract for a government entity?

Address data ownership and model-training rights, data residency and deletion, liability for errors, breach notification, export without lock-in, subprocessor disclosure, and statutory authority via board resolution. Standard procurement templates rarely cover these AI-specific terms.

How do we write a board policy for AI use?

Define acceptable use within the district's statutory purpose, require human-in-the-loop review for any decision affecting rights or benefits, set data-privacy and transparency rules, and assign clear human accountability for AI-assisted outputs. A board-adoptable checklist is available on this page.

Which AI use cases work best for small districts?

Records and document management, meeting and board-communication preparation, and constituent-inquiry triage tend to deliver the fastest value with the least risk for small, lean district teams.

What is the single biggest mistake districts make with AI?

Choosing the technology before building the governance. When the procurement and policy framework comes second, that is where costly data and liability mistakes happen.

FASD 2026 Annual Conference · Companion Toolkit

AI for special districts, unmasked.

No hype. No vendor pitch. A practitioner's honest guide to what AI can — and can't — do for your district right now, plus the tools to start responsibly.

Tue, June 9, 2026 1:00–2:50 PM ET Hyatt Regency Grand Cypress

Get the toolkit Register for FASD 2026

Common myth

“AI will replace our district staff.”

Myth 1 of 4 · tap to reveal the reality

Why now

Doing more with the same — or less.

Special districts are being asked to deliver more services, more responsiveness, and more transparency without more resources. AI is not a silver bullet — anyone who tells you otherwise is selling something.

But deployed thoughtfully, with the right governance in place first, it genuinely changes what a small team can accomplish: compressing the time to analyze data, draft communications, research compliance, and answer the public.

“The question I hear most isn't should we look at AI — it's where do we start, and how do we do this responsibly? That's exactly what this session answers.”

This page is your take-home toolkit: four working tools, drawn straight from the room, that you can use the moment you get back to your district.

What we'll cover

Five places AI earns its keep

The near-term, high-value use cases for district operations. Tap any one for what it does, where it helps most, and — most importantly — what you need in place first.

Toolkit · 01

AI Readiness Self-Assessment

Eight quick questions across the things that actually determine whether your district is ready to pilot. Answer honestly — your results are private to this browser, and you can print them for your board.

Is your district ready?

~2 minutes · 8 questions · scored live

AI Readiness Self-Assessment — from “Unmasking AI for Special Districts,” Doug Liles, FASD 2026 Annual Conference. fasd.fl5ai.com

0 of 8 answered

Toolkit · 02

Governance & Ethics Checklist

The framework that should exist before a district deploys any AI system. Check off what you've got, see what's missing, and print a clean, board-adoptable version.

Before you deploy

10 board-adoptable controls across 5 categories

Governance & Ethics Checklist — from “Unmasking AI for Special Districts,” Doug Liles, FASD 2026. Adapt to your district's statutory purpose and review with counsel.

0/10

Nothing checked yet

Your progress saves in this browser.

Toolkit · 03

AI Tool Finder, by district function

Categories of tools mapped to the work — with what to look for and what to ask. Filter by function and by the size of your district.

Function

Illustrative categories only — not product endorsements. Evaluate any specific vendor against your own operational context, the procurement checklist below, and your counsel's review.

Toolkit · 04a

Procurement & Vendor-Contract Review

Technology-first, governance-second is where costly mistakes happen. AI vendor contracts carry data-licensing, model-training, and liability terms that standard public-sector templates were never built to evaluate. Work this list before you sign.

Before you sign

9 questions most likely to surface problems early

Procurement & Vendor-Contract Review — from “Unmasking AI for Special Districts,” Doug Liles, FASD 2026. Developed through GoodSam.ai legal-playbook work for civic AI. Not legal advice; review with counsel.

0/9

9 questions to confirm

Check each once you've confirmed the contract answers it.

Toolkit · 04b

Is this task right for AI?

A human-in-the-loopHITL — a person reviews, approves, or makes the final call on AI output, rather than letting the system decide unsupervised. decision tool. Answer a few questions about a specific task and get a clear verdict on how much human oversight it needs.

From the field

What good looks like — and the warning signs

Illustrative, district-flavored scenarios. Confirm specifics for your own context — these are teaching examples, not verified case studies.

Stormwater monitoring that scales down

A drainage district pairs sensor data with AI summaries to turn weeks of manual analysis into a daily dashboard and automated compliance flags — the kind of capability that used to be cost-prohibitive for a small team. [[verified FL example]]Insert a real Florida district example and any DEP grant ID (e.g., DEP Grant LPA####) once confirmed — flag verified vs. inferred.

Faster, better-documented board meetings

Staff use generative tools to draft agenda summaries and synthesize public-comment patterns, freeing analyst hours and producing a cleaner public record — with a human reviewing every word before it's published.

Warning sign: the contract no one read

A district pilots a tool whose terms quietly grant the vendor rights to train on district data. The board never reviewed it. This is the classic technology-first, governance-second failure.

Warning sign: “the AI decided”

Any time an AI output is treated as a decision rather than a draft — especially one affecting residents' rights or benefits — accountability has gone missing. A human must always own the call.

Doug Liles

Commissioner · Founder

Your speaker

One foot in the boardroom, one in the lab.

Doug Liles is an elected Special District Commissioner in South Walton County and founder & CEO of the Good Samaritan Institute (GoodSam.ai). He lives at the intersection of AI and local-government governance — and everything in this session has been tested against real-world constraints: budgets, staff capacity, public accountability, and Florida's statutory boundaries.

The frameworks here were built and field-tested at Point PreserveDoug's beachfront AI campus in South Walton County — a live-in incubator where civic technologists build and test applied AI. [[confirm descriptor / room count]], and refined across nearly 100 episodes of the AI for Good: Transforming Communities podcast.

Elected District Commissioner Founder, GoodSam.ai Host, AI for Good

Keep going

The conversation, continued

The thinking behind this workshop lives in two places you can follow today.

AI for Good: Transforming Communities

~100 episodes on deploying AI in service of people — local government, civic organizations, environmental stewardship, and community business.

Listen on Spotify Watch on YouTube

Straight answers

Questions districts actually ask

Take it with you

Resources & downloads

The tools above print straight from this page. The field guide and the board-resolution template are ready to download now; session slides post after June 9.