Game based training as a model for skill enhancement in bias mitigation efforts

Narayanan, Sundar

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https://hdl.handle.net/2142/111786 Copy

Description

Title

Game based training as a model for skill enhancement in bias mitigation efforts

Author(s)

Narayanan, Sundar

Issue Date

2021-10-29

Keyword(s)

• bias mitigation
• skill enhancement
• machine learning
• social informatics

Abstract

Organizations which are developing or deploying machine learning models, have an inherent need to enhance their bias mitigation systems to minimize harms that their models may contribute to. Currently, in organizations, bias mitigation is undertaken by addressing data quality, streamlining process, and structuring appropriate performance metrics for models. However, these approaches do not contribute to the skill enhancement specifically with reference to bias perception, understanding and treatment for people working in developing or deploying machine learning models. To that end, the paper proposes, game based intuitive method to complement and enhance the skills of people.

Series/Report Name or Number

Proceedings of the 17th Annual Social Informatics Research Symposium and the 3rd Annual Information Ethics and Policy Workshop

Type of Resource

text

Language

en

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http://hdl.handle.net/2142/111786

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