Rise Against the Machines: Understanding Algorithmic Bias

Submitted by Shelby Hallman on June 9th, 2022
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Short Description: 

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.

Learning Outcomes: 

•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. 

Individual or Group:

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

Stand-alone workshop; co-curricular workshop. 

Assessment or Criteria for Success
Assessment Short Description: 
Formative assessment was conducted via the in-session activities. Summative assessment was conducted via an end of session survey form.
Suggested Citation: 
Hallman, Shelby. "Rise Against the Machines: Understanding Algorithmic Bias." CORA (Community of Online Research Assignments), 2022.