Unit 3: Decoding Algorithmic Biases: Can Algorithms be Fair?
Summary
This lesson will help students uncover the complexities of algorithmic biases, specifically when it comes to gender, race, household income, and even one’s zip code. Students will explore the concept of algorithmic powers, dissecting real-life examples of biases that can occur in decision-making processes driven by automation. Through engaging in discussions and activities, students will gain insights into the importance of understanding these biases to build more equitable digital social principles.
Learning Outcomes
By the end of this lesson, students will be able to:
- understand what algorithmic bias is, its causes and examples;
- develop critical thinking and evaluation skills to identify instances of bias in real-world algorithms, enabling them to assess the impact of these biases on individuals and society;
- gain ethical awareness about algorithmic biases in social settings.
