Welcome

This course arrives when you already know how a model works, how to give it work and how to check it. Now it is time to look at what can go wrong, without fear and with method. You will work with the case of a hotel group that uses AI in three places and, in parallel, with your own team: from the first lesson, make a list of the AI uses you know of around you, or invent a team if you cannot use yours. Do not paste data about real people or confidential information into your assistant; the practices bring their own data. At the end you will have a risk map, a one-page usage policy and an open register.

What you will find

• Block 1. Trusting too much: reliability risks. The problem is not that an AI fails, it is that it goes unnoticed. Where an error goes unseen, how a team's AI uses are ranked by probability and harm, why the attention of whoever reviews fades and which tasks are worth keeping by hand. First reading of the case: the review summary that nobody checks.
• Block 2. Data and security: what goes out and what comes in. What you give to an AI tool leaves the company, and what an assistant or an agent reads may carry orders. Privacy, confidentiality, impersonation and permissions, with a security review that fits in ten minutes. Second reading of the case: the booking agent and the guests' data.
• Block 3. People affected: bias, decisions and transparency. When a system ranks, scores or rejects people, its errors have names and surnames. How to measure whether it treats everyone the same, why removing a variable is not enough and what is owed to whoever is affected: knowing about it, an explanation and a person who can change the decision.
• Block 4. Answering: the rule, the policy and the signature. European regulation ranks uses by risk and also binds those who use, not only those who build. And what a regulation does not do for you: your team's policy, the register of what happens and the signature of whoever is accountable.

How you will work

Each lesson opens with a short introduction and, below it, several pills: short pieces that explain a single idea and end with a case or something to do. Read them in order the first time; afterwards you can go back to the one you need.

Where you see an interactive practice, do it before reading on: it is there for you to decide, calculate or classify, and the explanation comes afterwards. It does not save what you write, so copy whatever you want to keep.

Each block ends with an exam of six questions. All the answers come with a comment, including the wrong ones: failing and reading why is part of the method.

At The Singular Academy you learn by solving real cases. If at the end of a lesson you do not know what you would do differently tomorrow, go back over it.