Enterprise AI
Algorithmic literacy
Knowing how computer rules influence information and decisions, and being able to question their effects.
Example
A reader asks why a feed recommends one story over another.
Why people use it
It helps people ask useful questions about automated decisions affecting them.
What you'll hear
“Why is the app showing me this?”
What this means for you
Ask what a system optimizes and how its choices affect you.
Can you control it?
Yes
Yes. You can build this knowledge through learning, practice and asking how the systems you encounter reach decisions.
Common questions
- Does algorithmic literacy require knowing how to code?
- No. It includes practical understanding of goals, data and limitations.
- Does it mean understanding every calculation?
- No. You can question the goal, information used and consequences without knowing every technical detail.
- Can it help outside AI products?
- Yes. Recommendations, rankings and other automated choices can matter even when they do not use modern AI.