This unit introduces major themes and issues in digital justice, asking students to examine the relationship between technology and bias, structural inequality, community development, labor, and representation. It�s best delivered by a facilitator trained in implicit bias and diversity, but is also accessible to anyone willing to approach questions of race, gender, (dis)ability, labor rights, and other justice issues with care and generosity.
Learning Objectives
● Familiarize students with community technology initiatives that resist corporate services
● Outline key principles in community-oriented design and design justice
● Examine biases in data, algorithms, and machine learning
● Highlight four major labor issues entangled with digital technologies
● Attend to the ways in which marginalized communities are further marginalized in tec
Learning Outcomes
Students will be able to:
● Identify examples of community technologies and their roles in labor, access, and other social efforts
- Apply community tech frameworks to examine the technologies they rely on in their everyday lives Understand and articulate potential origins and effects of gaps in data sets
- Provide examples of bias in data collection and machine learning outcomes and their potential effects on human experience