How to Keep Confidential Information Out of AI Tools
Most AI data leaks are not hacks. They are a person pasting the wrong thing into the wrong box. Here is how to make that harder to do.
Read the article →How to Roll Out an AI Tool to Your Staff
Buying the tool is the easy part. Here is how to introduce it so people use it well, know the rules, and tell you when it gets things wrong.
Read the article →How to Tell If Your AI Training Actually Worked
A completion certificate tells you someone attended. Here is how to find out whether the training changed how people actually use AI at work.
Read the article →The Texas AI Training Requirement for Cities and Counties: What You Actually Have to Do
Who has to take it, how often, who picks the program, and what your governing body has to verify and report.
Read the article →AI Training and Criminal Justice Grants: The Rule Texas Local Governments Cannot Miss
Certain state criminal justice grants now depend on cybersecurity and AI training compliance, and the penalty for getting it wrong is repaying the grant.
Read the article →What Texas School Districts Actually Have to Do for AI Training
School districts have a narrower rule than cities and counties. Who is required, who is up to the district, and how to decide.
Read the article →Questions to Ask an AI Vendor Before You Sign
The demo shows you features. These questions show you what happens to your data, your people, and your liability after the contract is signed.
Read the article →How to Check AI Output Before It Goes Out the Door
“A human reviews it” is easy to write in a policy and hard to do well. Here is what to actually check, how deeply, and who should do it.
Read the article →What to Do When AI Gets Something Wrong at Work
A wrong figure, a made-up citation, a promise you do not offer. Here is how to contain an AI mistake, correct it honestly, and fix the process that let it through.
Read the article →Your Staff Are Already Using AI. What Do You Do Now?
Shadow AI is not a discipline problem. It is a signal that people found a tool faster than you found a policy. Here is how to close the gap without a witch hunt.
Read the article →Who Should Own AI in Your Organization?
IT owns the tools. Legal owns the exposure. Neither of them owns whether it works. Here is how to assign AI ownership so decisions actually get made.
Read the article →How to Document AI Use So It Holds Up Later
The question is never whether you used AI. It is whether you can show what you used, on what, and who checked it. Build the record while the work is happening.
Read the article →Which AI Certification Is Right for Your Role?
Ten credentials across three tiers. The right one is decided by your job description, not by the most impressive title on the list.
Read the article →What Belongs in an AI Use Policy — and What Makes Most of Them Useless
Most AI policies are one page of prohibitions nobody reads. A policy people follow answers four questions and names one person.
Read the article →How to Buy AI Training for a Public Agency Without Getting Burned
Public buyers are being pitched AI training by everyone right now. These are the questions that separate a real program from a slide deck.
Read the article →How to Prepare for an AI Certification Exam
Assessments that mean something test judgment, not recall. That changes how you should study for one.
Read the article →AI Literacy for Nontechnical Staff: What to Teach First
You have one hour of everyone's attention. Spend it on the four things that prevent incidents, and skip the history of machine learning.
Read the article →How to List AI Skills on a Resume Without Overstating Them
Hiring managers have started discounting AI claims because so many of them are inflated. Here is how to write yours so they survive a check.
Read the article →AI Certification vs. an AI Course: What Employers Actually Check
A course proves you attended. A certification proves someone independent tested you and will confirm it. How to tell them apart before you pay.
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