Module 2: Bias in AI - Understanding Bias

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Welcome to our exploration of “Bias in AI." In this module, we'll unravel the intricacies of bias within artificial intelligence, a topic of increasing importance in the development and deployment of AI systems. Bias, both explicit and implicit, can manifest in various forms, influencing decision-making processes and outcomes. Let's embark on a journey to unravel the complexities and foster a more inclusive and equitable AI landscape.

In Module 2, we cover the following Lessons:

Lesson 2.1: Defining Bias in AI Lesson

Lesson 2.2: Types of Bias and Sources of Bias

Lesson 2.3: Impact of Bias
LESSON 2.1: DEFINING BIAS IN AI

This lesson delves into the critical examination of biases that may arise in artificial intelligence systems. Understanding the implications of bias in AI is crucial, as it influences outcomes and may lead to unintended consequences. 

Watch the video lecture accompanied with slides to learn more about bias in AI.