REAL WORLD

Real-Life Biases

Bias in technology is not just a theory. It can affect real people in everyday situations.

EXAMPLE 01

Facial Recognition

Facial recognition technology is used in areas such as security and identity verification.

If a system has been trained using limited or unbalanced data, it may not work equally well for everyone.

EXAMPLE 02

AI in Hiring

Companies may use technology to help sort applications or identify potential candidates.

If the system learns from historical decisions that contain unfair patterns, it may reproduce those patterns.

EXAMPLE 03

Recommendation Algorithms

Websites and apps use recommendation systems to decide which videos, posts, products, or articles to show users.

These systems can influence what people see and what information becomes more visible.

THE SOLUTION

What Can We Do?

Responsible technology requires people to test systems, use diverse and appropriate data, look for unfair outcomes, and keep humans involved in important decisions.

Technology should be designed to help people — not disadvantage them.

Fair technology starts with responsible choices.

Think. Question. Improve.