What the systems do and do not do · AI literacy, ethics and data compliance | AI Tech Education Academy

AI literacy, ethics and data compliance/Module 01 · AI literacy for work

Module 01

AI literacy for work

0 of 4 lessons0%

What the systems do and do not doNot completed. Lesson 1 of 4.
Probabilistic output and hallucinationNot completed. Lesson 2 of 4.
Record how your team uses AI todayNot completed. Lesson 3 of 4.
Where human reliance belongsNot completed. Lesson 4 of 4.

Module 01AI literacy for work0/4

0 of 4 lessons0%

What the systems do and do not doNot completed. Lesson 1 of 4.
Probabilistic output and hallucinationNot completed. Lesson 2 of 4.
Record how your team uses AI todayNot completed. Lesson 3 of 4.
Where human reliance belongsNot completed. Lesson 4 of 4.

lessonLesson 1 of 4

What the systems do and do not do

This lesson is not written yet. What follows is the outline it will be built on. The lab, the template and the artifact this module produces are real, and they are what the module is assessed on.

Next lesson: Probabilistic output and hallucination

Module 1 is open with no account, and saving your progress is not. A free account keeps track of what you have finished.

Back toModule 01 Next lessonProbabilistic output and hallucination

What these systems do, what they do not, and how your team uses them today.

What this covers

Read this, then write down where it applies to your own process.

Where "what the systems do and do not do" fits in ai literacy for work.
The two failure modes teams hit here, and how to spot them early.
A worked example on a process the size of yours.

Why it is here

Module 01 of AI literacy, ethics and data compliance ends with one thing you keep: Current-state baseline. This lesson is one of the 4 pieces that produce it. If you only have time for part of this module, the parts that feed that artifact are the ones to do.

Before you move on

You should be able to say, in one sentence, what changed in your own process because of this lesson. If you cannot, work through the points above again. The point is to have run this on something real, not to have finished it.