Work

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

Year: 2024

Type: article

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.

Source: Proceedings of the Association for Information Science and Technology

DOI: 10.1002/pra2.1220

Authors: Sun Yoon, Sarah Evans, Cecilia Aragon, Bernease Herman, Nisha Devasia, Tianna Miles

Institutions: University of North Texas, University of Washington

Language: English

Topic: Educational Games and Gamification

Subfield: Developmental and Educational Psychology

Field: Psychology

Domain: Social Sciences

SDG: Quality education

Open Access status: bronze

Funder: National Science Foundation