Understanding and Avoiding Bias and Discrimination Within AI Tools

Overview

Welcome to Audio Learning from Assemble You.

Are you interested in better understanding AI and its potential drawbacks? This lesson’s for you.

In our digital world, artificial intelligence (AI) plays a vital role in various aspects of our lives, from everyday recommendations to critical professional applications. However, bias exists within these AI systems, which can inadvertently perpetuate discrimination inherited from their training data.

The lesson explores the mechanics of AI bias and explains how AI systems can maintain systemic prejudice. It emphasises the importance of recognising instances of AI bias, understanding the underlying mechanisms, and implementing practical strategies to mitigate inequity and promote fairness.

By the end of this lesson, you’ll have the knowledge and tools to identify, understand, and address bias and discrimination within AI tools and feel confident to navigate an AI-powered future.

Learning Objectives

• Recognise instances of AI bias and discrimination in various contexts, including professional settings.
• Establish how AI systems inherit and perpetuate biases and examine the role of training data and pattern recognition.
• Examine practical tips and strategies to address AI bias and discrimination.

Target Audience

Anyone interested in or involved with artificial intelligence (AI) and its implications.