AI Basics
A computer system that can learn, make decisions, or solve problems.
👉 What is Artificial Intelligence (AI)?
When results are unfair or favor one group over another.
👉 What is bias (in algorithms)?
Data that does not represent all groups equally.
👉 What is unbalanced training data?
Treating all groups equally in a computer system.
👉 What is fairness (in computing)?
AI learns patterns from data provided by humans.
👉 What is training data?
Information used to teach an AI how to make decisions.
👉 What is training data?
When an algorithm produces unfair results because of biased data.
👉 What is algorithmic bias?
Data that leaves out key information needed to make good decisions.
👉 What is incomplete data?
A group protected by laws from unfair treatment.
👉 What is a protected class?
A problem that happens when AI repeats unfair decisions over time.
👉 What is a feedback loop?
When an AI system is designed to be responsible and fair.
👉 What is ethical AI?
When AI systems copy unfair patterns already found in society.
👉 What is reflecting existing biases?
A system where results keep repeating and becoming stronger over time.
👉 What is a feedback loop?
Examples include race, gender, and age.
👉 What is a protected class?
When AI systems treat certain groups unfairly.
👉 What is algorithmic bias?
When data is missing important information needed for good decisions.
👉 What is incomplete data?
When certain groups are treated unfairly by a system.
👉 What is discrimination?
Data problems that can cause unfair AI decisions.
👉 What are bias or unbalanced data?
Why fairness is important when designing AI systems.
👉 What is to prevent discrimination and harm?
Why programmers must think carefully about data they use.
👉 What is to reduce bias and increase fairness?
When data is simplified too much and important details are lost.
👉 What is data oversimplification?
When someone intentionally changes data to create unfair or harmful results.
👉 What is malicious data manipulation?
The main reason AI systems can make unfair decisions.
👉 What is biased or poor-quality data?
Designing AI that respects people and avoids harm.
👉 What is ethical AI?
The goal of building fair, responsible, and safe AI systems.
👉 What is ethical AI?