Algorithmic Fairness: This term refers to the concept of designing algorithms that do not discriminate against individuals or groups based on protected characteristics such as race, gender, or age.
Data Bias: Data bias occurs when the data used to train an AI system is unrepresentative or skewed towards certain groups, leading to biased outcomes.
Ethical AI: Ethical AI involves developing and deploying artificial intelligence systems that are designed to prioritize fairness, transparency, and accountability in their decision-making processes.