Trust, but Verify: Human Judgment in the Age of AI
Learning objectives
- Define AI-related biases such as authority bias and illusion of knowledge.
- Explain why AI outputs may appear more credible than they actually are.
- Identify real-world situations where reliance on AI can lead to overconfidence.
- Compare decision outcomes when using AI consultation versus peer discussion.
- Assess AI-generated insights for assumptions, limitations, and possible biases.
- Formulate a personal approach to balancing AI input with intuition and peer collaboration.
Course overview
AI tools can deliver fast, polished answers that feel authoritative, even when they’re incomplete, biased, or outdated. Learn where AI can mislead you and how to verify its information, so you can use its speed and scale while protecting accuracy, ethics, and trust at work.
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.
- 5 minutes
- Format: Video
- Tier: 1
- Course ID: 19361
English
Course Outline
- About AI Biases
- Perfecting the AI Balancing Act