Ethics of AI: Fairness, Honesty, and Responsibility
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What you will learn
- 1Define AI ethics and explain why it matters in everyday life
- 2Distinguish between ethical and unethical uses of AI
- 3Apply principles of fairness, honesty, and responsibility when using AI tools
Mini Lesson
Ethics is the study of right and wrong — it helps us decide how we should act. AI ethics means thinking carefully about how AI tools are built and used so they are fair, honest, and responsible. As AI becomes part of everyday life, everyone — including kids — needs to understand how to use it in a way that is good for people and society.
Three Core Principles of AI Ethics
- Fairness — AI should treat all people equally and not discriminate based on race, gender, disability, or background.
- Honesty — AI should be transparent about what it is; people should know when they are talking to an AI, not a human.
- Responsibility — the people who build and use AI must be accountable, which means they take responsibility for the results it produces.
Ethical AI Use
- Using an AI tool to help brainstorm ideas for a project, then writing the work yourself.
- Telling your parent when you used AI assistance in your lesson work.
- Using AI translation tools to help communicate with someone who speaks a different language.
- Reporting it to an adult when an AI gives you scary, harmful, or inappropriate output.
Unethical AI Use
- Submitting AI-generated work and pretending you wrote it yourself.
- Using AI to spread false information or to trick people.
- Using AI to create fake images or audio of real people without their permission.
- Ignoring the fact that an AI might be biased or unfair in its responses.
Words to know
Ethics
The study of what is right and fair to do
e.g. Ethics guide how we use new technology.
Fairness
Treating every person and group equally
e.g. A fair AI gives the same chance to all users.
Bias
When an AI gives unfair results because its data was unbalanced
e.g. Bias in an AI may show up if it sees only one type of face.
Honesty
Being truthful about how you use AI and what it produced
e.g. Honesty means I say when AI helped me.
Responsibility
Taking ownership of what you create or share with AI
e.g. Responsibility means I check the AI's answer.
Before using an AI tool, ask: Is this fair? Is this honest? Am I taking responsibility for what it produces? If the answer to any of these is No, reconsider your approach.
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