Site: | OpenLearn Create |
Course: | Trustworthy and Democratic AI - Fundamentals |
Book: | Module 2: Bias in AI - Understanding Bias |
Printed by: | Guest user |
Date: | Wednesday, 30 April 2025, 6:04 AM |
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:
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.
LESSON 2.2: TYPES OF BIAS AND SOURCES OF BIAS
In this exploration, we dissect the various forms of bias, both explicit and implicit, that can affect decision-making processes. Throughout this lesson, we'll identify key types of bias, sources of bias and explore strategies to mitigate its impact.
Above all, it is important to define what is bias. There are a lot of different understandings of the term, but in AI4Gov project, the following definition has been chosen: Bias is a term used to describe an inclination or prejudice for or against an individual or group in a way that is considered unfair.This is an excerpt from Learning material for topic: Bias and Types of Bias.
Watch the video lecture accompanied with slides to learn more about bias.
LESSON 2.3: IMPACT OF BIAS
The impact of bias on individuals and society is significant, leading to both obvious and subtle forms of discrimination and stereotyping (Steele, 2010). This impact can be seen in many aspects of people’s lives. These aspects are presented below: By restricting their possibilities, skewing their perspectives, and maintaining inequity, bias may harm individuals. When someone is biased, they could experience exclusion, discrimination, or unjust treatment because of their colour, gender, religion, sexual orientation, or other traits. This may result in low self-esteem, a sense of exclusion, and an awareness of unfairness. Additionally, bias may influence people's attitudes and beliefs, which can result in the internalization of stereotypes and biases that serve to reinforce bias. Furthermore, prejudice can affect how decisions are made, resulting in less-than-ideal results in processes including employment, promotion, policy-making, and media portrayal. It can bolster preconceptions, propagate stereotypes, and obstruct the quest of justice, fairness, and equality. This is an excerpt from Learning material for topic: Impact of Bias.
Watch the video lecture accompanied with slides to learn more about bias.