1.08 Ethics and bias in AI

1. It is generally considered good practice in adult education to have open discussions about the ethical implications of using AI, including issues like privacy, bias, and responsible use, and to be aware of regulations like the EU AI Act.

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a) Copying an entire essay generated by an AI and submitting it as their own original work for a graded assignment.
b) Using an AI tool to help them understand a difficult concept, brainstorm ideas for a project, or get feedback on a draft they have written, and then producing their own final work.
c) Deliberately ignoring any factual errors or biases they notice in AI-generated outputs used for a group project.
d) Attempting to hide the fact that they used AI as a supportive tool from their educators.

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a) Freely share all your personal details, including your home address and bank account numbers, without any concern.
b) Check the platform’s privacy settings and policy, and be cautious about providing unnecessary sensitive or personal information.
c) Always blindly follow and implement every suggestion the AI makes, regardless of the context.
d) Completely ignore any advice or warnings about online privacy risks.

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a) To ensure that the information presented is fair, represents diverse perspectives accurately, and avoids reinforcing harmful stereotypes.
b) Mainly to make the lesson or task significantly shorter and quicker.
c) Because bias in AI is always very obvious and easy for anyone to spot without any training.
d) Primarily to provide entertainment for learners by finding flaws in the AI.