Learn in plain language
Resources
Plain-language guidance for busy people: insights, practical governance, guides and the occasional smile. New material is added as the Alliance grows.
Looking for what our testing methodology measures? Browse the AI Risk Library — a public catalog of detectors and their limits.
Showing 24 resources.
AI Insights
What actually counts as 'AI' in your business?
Why spam filters, chat widgets, and 'smart' CRM features all count — and why that matters for your responsibilities.
Read article· 6 minGuides & Educational Resources
The EU AI Act in plain English
Who it applies to (including some non-EU companies), the key dates, and the four risk levels — without legal jargon.
Read article· 9 minAI Governance in Practice
Write a one-page AI usage policy
The smallest useful policy: what staff may use AI for, what data stays out, and who checks the outputs.
Read article· 7 minAI Governance in Practice
12 questions to ask any AI vendor
A buyer's checklist covering data use, testing, failures, subcontractors, and what happens if the AI is wrong.
Read article· 8 minAI Governance in Practice
Keep a one-page record of the AI tools you use
One page per tool is enough to remember who owns it, what it is for, and what you told the vendor.
Read article· 5 minAI Governance in Practice
The short list of data that stays out of a chat tool
A usable rule names the material that does not get pasted, and the one person who can make an exception.
Read article· 5 minAI Governance in Practice
What to do when the AI output is wrong
A wrong answer needs a correction, a note of how it happened, and a decision about whether the tool keeps that job.
Read article· 6 minAI Governance in Practice
Who checks an AI draft before it leaves the building
A draft from a tool is a draft. Name the person who reads it before it reaches a customer, a regulator, or the public.
Read article· 5 minAI Insights
An AI inventory you can finish in an afternoon
You do not need a platform to start. One table, four columns, and a conversation with each team will show where software writes, scores, or decides.
Read article· 6 minAI Insights
The AI already in use that nobody listed
Staff often adopt chat tools, meeting notes, and browser add-ons before anyone writes them down. The first governance step is finding that list.
Read article· 5 minAI Insights
Sorting CVs with software is still a decision about a person
A ranking, a filter, or a score that moves a person forward or out is a decision, even when a vendor calls it a productivity feature.
Read article· 6 minAI Insights
What happens when you paste a document into a chat tool
A paste feels private because it happens on your screen. The copy can still be stored, read by the vendor, and reused under the terms you accepted.
Read article· 5 minAI Insights
When a chatbot answers your customers
A customer-facing bot speaks in your name. People need to know it is a bot, and a person needs a way to take over when the answer matters.
Read article· 6 minAI with a Smile · Satire
The apology emails that wrote themselves
A fictional office lets a tool apologize to customers. The apologies are beautiful, frequent, and increasingly about things that never happened.
Read article· 5 minAI with a Smile · Satire
The chatbot that was invited to the meeting
A fictional team gives a chatbot a chair, a name, and a vote. The vote is confident. The minutes are from a different company.
Read article· 5 minAI with a Smile · Satire
The office fridge was not the risky system
A fictional committee spends a week classifying the office fridge. The hiring filter in the next room does not make the agenda.
Read article· 6 minAI with a Smile · Satire
The policy that lived in a drawer
A fictional policy is praised, printed, and stored where nobody who pastes text into a tool will ever look.
Read article· 5 minAI with a Smile · Satire
The strategy everyone nodded at
A fictional meeting adopts an AI strategy in four minutes. Nobody can repeat it in the corridor.
Read article· 5 minAI with a Smile · Satire
The summary of the wrong client
A fictional assistant summarizes the wrong file with perfect grammar. The meeting almost sends it to the client it does not describe.
Read article· 5 minGuides & Educational Resources
Data protection and AI rules answer different questions
A privacy review asks what happens to personal data. An AI review asks what the system does to people. You often need both, and one does not replace the other.
Read article· 6 minGuides & Educational Resources
How to read an AI claim on a product page
A product page can say a tool is ready, safe, or aligned with a law. Treat that sentence as a claim to test, not as a result you can repeat.
Read article· 5 minGuides & Educational Resources
Records worth keeping before anyone asks
The records that help later are the ones written while a decision is fresh: what you use, why, who checked it, and what you changed after a mistake.
Read article· 5 minGuides & Educational Resources
Risk levels are legal labels, not a mood
Calling a project high-risk in a meeting is not the same as a legal category. The EU AI Act defines categories. Other laws do not reuse them.
Read article· 6 minGuides & Educational Resources
Three roles around an AI system, in plain words
Someone builds the system, someone decides to use it in their work, and someone lives with the result. Laws name these roles differently.
Read article· 6 min
AI with a Smile
AI governance is serious business, but learning about it doesn't always have to be. Explore thoughtful, humorous stories that make complex AI topics easier to understand.
Original fiction
These stories are original fiction written for the Alliance. Each one is labeled satire, and each one ends with what a business can learn. They are not reports about real clients, and they are not legal advice.
Regulatory updates, translated into business language
What changed, who it affects, and what to do about it when AI rules shift in major markets — curated and approved by a human editor. First edition in preparation — subscribe to receive it at launch.