Learn about the term that describes systematic errors causing unfair decisions in AI systems. Prepare for the IBM AI Fundamentals certification exam.
Table of Contents
Question
Which of the following terms describes systematic errors in AI systems that, intentionally or not, generate unfair decisions?
A. Discrimination
B. Partiality
C. Prejudice
D. Bias
Answer
D. Bias
Explanation
Bias doesn’t mean bad intentions; bias can result from the data used to train and test the AI system or from cultural expectations or technical limitations.
The term that describes systematic errors in AI systems that can lead to unfair decisions, whether intentional or not, is bias.
Bias in AI systems refers to non-random and systematic patterns in the data or algorithm that can result in prejudiced outcomes against certain individuals or groups. It’s a critical concern in the field of AI ethics and governance.
IBM Artificial Intelligence Fundamentals certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Artificial Intelligence Fundamentals graded quizzes and final assessments, earn IBM Artificial Intelligence Fundamentals digital credential and badge.