28 Jan 2022

Recognizing Data Biases


Registration: http://go.hawaii.edu/Vso

Workshop Description

Recognizing that many algorithmic biases stem from biased data, this workshop will help participants recognize potential biases in their own data. Case studies ranging from egregious errors to effective mitigation steps will be presented and discussed. Participants will begin to write and critique their own algorithm impact statements as a first step to reducing their own potential algorithmic biases.


  • None

Learning Objectives:

By the end of this workshop, participants will be able to:

  • Clarify their biases as a researcher/developer
  • Evaluate data for biases
  • Know methods and resources for mitigating data biases
  • Recognize the potential for algorithmic harm

Tools used in this workshop:

  • Word processor/pen & paper

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