Responsibility and Care in <scp>AI</scp>/<scp>ML</scp> Education: A Collaborative Approach to Ethical Awareness

ABSTRACT The rapid growth of artificial intelligence (AI) and machine learning (ML) has led to significant innovations but also raised ethical concerns. Researchers and students designed an ethical online game in this study to spread awareness about making informed decisions when using AI and ML. Conducted within a directed research group (DRG) curricular method, the study engages students as co‐researchers to develop a game, from developing ideas to playtesting the game in a class setting. The study employs a quantitative methodology to analyze a survey that 32 students, each with diverse backgrounds and knowledge in game development, conducted after each class session over three semesters. Findings indicate that self‐reported engagement changes depending on the activities done in each session, with students feeling capable of contributing to research and game design.

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Publication Details

Journal
Proceedings of the Association for Information Science and Technology
Published
2024-10-01
DOI
https://doi.org/10.1002/pra2.1220
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
1.05

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article

Responsibility and Care in AI/ML Education: A Collaborative Approach to Ethical Awareness

Nisha Devasia, Sarah Evans, Bernease Herman, Tianna Miles et al.
2 citations
Proceedings of the Association for Information Science and Technology
Ethics and Social Impacts of AI
1.05
article

Responsibility and Care in AI/ML Education: A Collaborative Approach to Ethical Awareness

Nisha Devasia, Sarah Evans, Bernease Herman, Tianna Miles, Cecilia Argon, Sun Young Yoon
article en
2 citations

Abstract

ABSTRACT The rapid growth of artificial intelligence (AI) and machine learning (ML) has led to significant innovations but also raised ethical concerns. Researchers and students designed an ethical online game in this study to spread awareness about making informed decisions when using AI and ML. Conducted within a directed research group (DRG) curricular method, the study engages students as co‐researchers to develop a game, from developing ideas to playtesting the game in a class setting. The study employs a quantitative methodology to analyze a survey that 32 students, each with diverse backgrounds and knowledge in game development, conducted after each class session over three semesters. Findings indicate that self‐reported engagement changes depending on the activities done in each session, with students feeling capable of contributing to research and game design.

Proceedings of the Association for Information Science and TechnologyVol. 61(1)
University of North Texas (US), University of Washington (US)
National Science Foundation
Openalex Percentile: Top 18%
Ethics and Social Impacts of AI
1.05
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Responsibility and Care in <scp>AI</scp>/<scp>ML</scp> Education: A Collaborative Approach to Ethical Awareness — Nisha Devasia, Sarah Evans, et al. · Proceedings of the Association for Information Science and Technology (2024) | TGRS Research Map | TGRS