Rise Against the Machines: Understanding Algorithmic Bias
Algorithms are not neutral but this does not mean they are not useful tools for research. In this workshop on algorithmic bias, student learn how algorithms can perpetuate bias and discrimination and how to critically evaluate their search results.
Relevant links:Rise Against the Machines: Understanding Algorithmic Bias Workshop SlidesRise Against the Machines: Understanding Algorithmic Bias LibGuideActivity: Survival of the Best Fit GameSpring 2023 Workshop Slides
•Students will be introduced to the machine bias inherent in algorithmic decision making, with a focus on information systems.
•Students will discuss the effects of algorithm bias in order to articulate how some individuals or groups of individuals may be misrepresented or systematically marginalized in search engine results.
•Students will develop an attitude of informed skepticism in order to critically evaluate search results.
Discipline:Computer ScienceLibrary and Information Science
Information Literacy concepts:
Individual or Group:
Course Context (e.g. how it was implemented or integrated):
Stand-alone workshop; co-curricular workshop.
Suggested Citation:Hallman, Shelby. "Rise Against the Machines: Understanding Algorithmic Bias." CORA (Community of Online Research Assignments), 2022. https://projectcora.org/assignment/rise-against-machines-understanding-algorithmic-bias.
All assignments contributed to this site are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike United States License