AI Bias and Fair Use
Learning objectives
- Define key concepts, including AI bias and fair use in the context of workplace AI tools.
- Explain how bias enters AI systems through data, design, and human decision-making.
- Identify common real-world examples of biased or unfair AI outcomes.
- Differentiate between acceptable and risky uses of AI-generated content under fair use principles.
- Apply practical strategies to reduce bias and use AI responsibly in workplace scenarios.
Course overview
AI systems built on historical data can quietly repeat old patterns of bias, from hiring decisions to customer feedback prioritization. Recognizing how bias forms and knowing when fair use protections do or don't apply equips employees to use AI tools responsibly. Practical habits, like questioning a tool's training data and revising AI-generated content before publishing, keep human judgment at the center of every decision.
The individuals involved in the development and promotion of this course do not receive any compensation or financial benefits outside of their regular employment for their work on this course.
- 7 minutes
- Format: Video
- Tier: 1
- Course ID: 19518
English, Spanish, French Canadian, Portuguese, Thai, Chinese (Simplified), French, German, Italian, Japanese
Course Outline
- Assumptions AI Makes
- AI and Fair Use
- What You Can Do