Introduction to "Understanding Algorithmic Bias"

Welcome to "Understanding Algorithmic Bias," an enlightening and comprehensive course offered by BABL AI and taught by Jeffery Recker, Co-Founder and Chief Operating Officer of BABL AI. This course is designed to equip you with the knowledge and tools to understand, identify, and mitigate biases in AI algorithms.

Course Overview

In this course, we will explore the following key areas:

What is Algorithmic Bias?

• Understand the fundamental concept of algorithmic bias and its implications on various aspects of society.

The Different Kinds of AI Bias

• Dive into the diverse types of biases that can infiltrate AI systems, such as gender bias, racial bias, socio-economic bias, and more. Learn how these biases manifest and affect outcomes in different scenarios.

Can You Spot the Bias?

• Engage in interactive sessions where you will be challenged to identify biases in various examples. This hands-on approach will help reinforce your understanding and sharpen your analytical skills.

What We Can Do About AI Bias

• Explore practical strategies and solutions to mitigate AI bias. This section will cover the importance of education, regulation, and AI auditing in creating fair and unbiased AI systems.

Conclusion, Additional Resources, and a Prerecorded Live Q&A with the Instructor

• Conclude the course with a comprehensive summary, additional resources including books, podcasts, research papers, and articles related to the examples discussed by Jeffery. Benefit from a prerecorded live Q&A session with the instructor to address any lingering questions and gain further insights.

Course Features

• Interactive Quizzes: Test your knowledge and understanding with quizzes throughout the course. These are designed to reinforce key concepts and ensure you have a solid grasp of the material.
• Additional Resources: Access a wealth of supplementary materials to deepen your understanding of algorithmic bias. These resources include recommended books, podcasts, research papers, and articles.
• Expert Instruction: Learn from Jeffery Recker, a leading expert in the field, who brings a wealth of knowledge and practical experience to the course.

By the end of this course, you will have a thorough understanding of algorithmic bias, be able to identify various types of biases, and know the steps to take to mitigate these biases in AI systems. Join us on this journey to ensure fair and ethical AI development and usage.

Welcome to "Understanding Algorithmic Bias" – we are excited to have you with us!