skip to main content
research-article

Promoting Machine Learning Fairness Education through Active Learning and Reflective Practices

Published: 24 July 2023 Publication History

Abstract

As Natural Language Processing (NLP) has witnessed significant progress in the last decade and language technologies have gained widespread usage, there is an increasing acknowledgement that the choices made by NLP researchers and practitioners regarding data, methods, and tools carry significant ethical and societal implications. Consequently, there arises a pressing need for integrating ethics education into computer science (CS) curriculum, specifically within NLP and other related machine learning (ML) courses.
In this project, our primary objective was to highlight the importance of fairness in ML ethics. We aimed to raise awareness regarding biases that can exist in machine learning, such as gender bias and disability bias. Acknowledging the intricate nature of the intersection between machine learning, ethics, and bias, we formed a participatory group comprising professors and students to develop the teaching interventions. The group members have experiences in machine learning, accessible computing, or both. It was crucial to include students in the design process of the teaching interventions because we wanted to ensure that fairness is sufficiently covered without being too complex to understand or too subtle to recognize [Tseng et al., 2022].

Cited By

View all
  • (2025)Fairness for machine learning software in educationJournal of Systems and Software10.1016/j.jss.2024.112244219:COnline publication date: 1-Jan-2025
  • (2023)A Course Recommendation Algorithm for a Personalized Online Learning Platform for Students From the Perspective of Deep LearningInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.33360318:1(1-17)Online publication date: 8-Nov-2023

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM SIGCSE Bulletin
ACM SIGCSE Bulletin  Volume 55, Issue 3
July 2023
11 pages
ISSN:0097-8418
DOI:10.1145/3610585
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 July 2023
Published in SIGCSE Volume 55, Issue 3

Check for updates

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)38
  • Downloads (Last 6 weeks)2
Reflects downloads up to 17 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2025)Fairness for machine learning software in educationJournal of Systems and Software10.1016/j.jss.2024.112244219:COnline publication date: 1-Jan-2025
  • (2023)A Course Recommendation Algorithm for a Personalized Online Learning Platform for Students From the Perspective of Deep LearningInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.33360318:1(1-17)Online publication date: 8-Nov-2023

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media