Beginner · Cognitive
Bias (ethics/fairness)
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Unfair prejudice or favoritism towards certain groups or things, which can influence data, system design, and user interactions.
Technical Definition
Unfair prejudice or favoritism towards certain groups or things, which can influence data, system design, and user interactions.
How it works
Bias in this context refers to prejudices or unfair leanings that can affect AI systems. These can manifest in the data used for training, the design choices made by developers, or how users interact with the AI, leading to inequitable or incorrect outcomes.
Related Concepts
- Fairness — The principle that AI systems should treat individuals and groups equitably.
- Automation bias — Occurs when humans overly trust automated systems, even when they make mistakes, favoring their outputs over non-automated information.