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Title: Student Perspectives on Learning and Teaching Data Ethics Through Speculative Game Design
From our smartphones to our social media, artificial intelligence (AI) algorithms are becoming ubiquitous in our everyday lives. However, the conveniences that they bring come alongside many potential social and political harms. It is imperative that members of the public develop data ethics literacy to interpret AI’s harms and benefits daily. The immersive and transformative nature of games may enable a wide range of people to explore complex ethical concepts in AI and data science through the lens of speculative design. In this project, we focus on the learning process of a diverse group of students from two universities as they embark upon a process of game design to teach ethical thinking in data science/AI. Through qualitative analysis of semi-structured interviews, we apply a speculative game design framework to identify aspects that aid student learning.  more » « less
Award ID(s):
2127924
PAR ID:
10552440
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
Repository of the International Society of Learning Sciences
Date Published:
Page Range / eLocation ID:
59 to 66
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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