AI Literacy: Avoiding Mistakes, Hallucinations, and Beyond
Learning objectives
- Identify common AI hallucination patterns and recognize when outputs need verification.
- Explain how poor inputs or missing context can cause AI data mix-ups.
- Apply quick verification steps to confirm that AI-generated information is accurate.
- Differentiate tasks that are safe to automate from tasks requiring human oversight.
- Modify AI prompts to correct tone issues such as robotic, overly formal, or inconsistent writing.
- Implement simple lAI hygiener habits that improve the reliability and appropriateness of AI outputs.
Course overview
Artificial intelligence can produce confident answers that sound accurate but contain errors, bias, or invented information. Understanding how these mistakes occur allows employees to recognize unreliable outputs before they affect decisions, communication, or credibility. Practical verification habits, stronger prompts, and thoughtful human oversight help teams use AI as a helpful assistant rather than an unquestioned authority.
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.
- 6 minutes
- Format: Video
- Tier: 1
- Course ID: 19365
English
Course Outline
- What AI Gets Wrong
- How These Mistakes Happen
- How To Avoid AI Mistakes