Identify Responsible vs Harmful AI Uses
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Learning Objectives
- 1Distinguish between responsible and harmful uses of AI
- 2Explain why fairness, transparency, and safety matter in AI
- 3Identify examples of deceptive or privacy-violating AI uses
Mini Lesson
AI is a powerful tool, but not all uses of AI are good. Some uses of AI help people and society — these are called responsible AI uses. Others can deceive, harm, or unfairly treat people — these are harmful AI uses. Understanding the difference is an essential digital literacy skill.
Responsible AI
- Fair: the AI treats all people equally and does not discriminate based on race, gender, or background.
- Transparent: users know when they are interacting with AI and how decisions are made.
- Safe: the AI is designed to protect people from harm and to follow ethical rules.
- Examples: AI translating languages for accessibility, AI detecting diseases early, AI tutoring systems that help all students.
Harmful AI
- Deceptive: AI that creates fake news articles, fake voices, or deepfake videos to mislead people.
- Biased: AI trained on unfair data that produces discriminatory outcomes (e.g. rejecting loan applications based on race).
- Privacy-violating: AI that collects and shares personal data without permission.
- Manipulative: AI that targets people's emotions or weaknesses to change their behavior.
- Example: Deepfake technology can put false words in a real person's mouth, damaging their reputation.
How to Evaluate AI Responsibly
- Ask: Does this AI treat everyone fairly?
- Ask: Is it clear that AI is being used, and how does it make decisions?
- Ask: Could this AI be used to harm, deceive, or invade privacy?
Tip: Responsible AI is Fair, Transparent, and Safe. Harmful AI can be Deceptive, Biased, or Privacy-violating. Remember: F-T-S vs D-B-P.
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