Assignment

Breaking the Code: Understanding Algorithmic Bias

Submitted by Shelby Hallman on March 26th, 2024
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Short Description: 

Algorithms are everywhere, and they have increasing power over what we consume (Amazon, Netflix, TikTok), who we date (“the apps”), and how we understand the world (Google, ChatGPT). So, what are algorithms, and how did they become so powerful? Who are the humans that create them, and why does it matter?

In this workshop, we will explore how algorithms can perpetuate bias and discrimination, and discuss some preventive strategies. It is open to learners of all backgrounds and experience.

Workshop Instructors: Shelby Hallman, Physical Sciences and Engineering Librarian; Ashley Peterson, Research & Instruction Librarian, Media and Data Literacy; Alexandra Solodkaya, Rothman Family Food Studies Librarian

Credits: This workshop was derived from LMU's Rise Against the Machines: Understanding Algorithmic Bias workshop. 

Attachments: 
AttachmentSize
UCLA_SRW_Fall23 Algorithmic Bias Workshop Slide Deck.pdfdisplayed 325 times3.75 MB
Algo_Bias_UCLA_Fall_23_Lesson Plan.pdfdisplayed 337 times83.65 KB
Learning Outcomes: 
  • Students will be introduced to algorithmic bias concepts, focusing on machine learning and AI.
  • Students will understand the causes and implications of bias within algorithm development and use. 
  • Students will discuss strategies to cope with or critically engage with algorithms.

Individual or Group:

Course Context (e.g. how it was implemented or integrated): 

This workshop was held virtually, via Zoom. 

Assessment or Criteria for Success
Assessment Short Description: 
Formative assessment was conducted via the in-session activities and participation. Summative assessment was conducted via an end of session survey form.
Suggested Citation: 
Hallman, Shelby. "Breaking the Code: Understanding Algorithmic Bias." CORA (Community of Online Research Assignments), 2024. https://projectcora.org/assignment/breaking-code-understanding-algorithmic-bias.