Lesson 1: Recognizing Bias 

Understanding and recognizing bias in AI outputs is essential for ensuring fairness and accuracy in generated content.

Identifying bias in AI outputs explores the presence and impact of bias in AI-generated content, shedding light on how biases such as cultural, gender, or socioeconomic can shape responses. This module emphasizes the importance of recognizing these biases by understanding their sources, which often stem from training data or the phrasing of prompts. By analyzing examples of biased outputs, users learn to spot patterns and examine how biases influence the accuracy and fairness of the information provided by AI. Through this understanding, learners can develop critical thinking skills to evaluate AI-generated content effectively, paving the way for responsible and ethical use of AI tools.