AI Ethics & Responsible Use at Work

Four questions that resolve real workplace decisions, plus bias, confidentiality, disclosure, and a one-page policy people will actually follow.

AI ethics discussion usually happens at a height where nothing gets decided. This course works at the level of the decisions you actually face: whether to paste that document, whether to disclose that draft, whether to screen applicants with that tool. You will get four questions that resolve most of them, then work through the risks that materialise most often: bias and where it really enters, confidentiality as a duty independent of what is enforceable, and misrepresentation, which is what nearly every AI honesty problem turns out to be. It closes on the question most guidance avoids, what you owe colleagues whose work your automation removes, and a one-page policy that answers the five questions staff actually have.

What you'll learn

• Resolve real AI decisions with a four-question practical framework
• Explain where bias enters and keep AI out of consequential decisions about people
• Treat confidentiality as a duty, with a concrete never-paste list
• Apply a workable disclosure test and never misrepresent AI work
• Introduce automation honestly and support the people affected
• Write a one-page AI policy and satisfy the literacy obligation credibly

Course content

1. 1. Moving past the abstract debate (15 min)
2. 2. Bias: where it comes from and what to do (15 min)
3. 3. Privacy and confidentiality as an ethical duty (15 min)
4. 4. Attribution, honesty, and disclosure (15 min)
5. 5. Automation and the people affected (15 min)
6. 6. Writing a policy people will actually follow (15 min)

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