Bias in Algorithms

Definition

Bias in algorithms refers to systematic errors or unfairness present in computer programs or algorithms due to human biases or flawed data inputs. These biases can result in discriminatory outcomes or perpetuate existing inequalities.

Related terms

Machine Learning: Machine learning is an application of artificial intelligence where computer systems learn from data patterns and make predictions or decisions without being explicitly programmed.

Data Bias: Data bias refers to inaccuracies or imbalances present within datasets used for training machine learning models. Biased data can lead algorithms towards incorrect conclusions.

Algorithmic Fairness: Algorithmic fairness focuses on developing unbiased algorithms that treat individuals fairly and do not discriminate based on protected characteristics such as race, gender, or age.