How do AI algorithms handle uncertainty and ambiguity in data?

Question: How do AI algorithms handle uncertainty and ambiguity in data?
- Keywords:
  AI,
  artificial intelligence,
  data,
  uncertainty
Asked by date519sank on 20 Feb 2025.
- Aurelia Brzezowska answered on 20 Feb 2025:
  
  When AI is given data, most of the time it is “cleaned.” This is a process of removing ambiguous, incorrect or empty data as to not confuse the AI. Luckily AI is built on ambiguity. When it sees a picture of a puppy, it will compare it to all the data is has been given and give a percentage estimation of what it thinks it is. You may see its output as it thinking its 25% dog, 53% cat and 22% painting. The better the data quality, the more correct it’s answer will be. AI is only as good as what it is fed!

Question: How do AI algorithms handle uncertainty and ambiguity in data?