research-article

In the Black Mirror: Youth Investigations into Artificial Intelligence

Authors:

Clifford H. Lee,

Elisabeth SoepAuthors Info & Claims

ACM Transactions on Computing Education, Volume 22, Issue 3

Article No.: 25, Pages 1 - 25

https://doi.org/10.1145/3484495

Published: 29 October 2022 Publication History

Abstract

Over the past two decades, innovations powered by artificial intelligence (AI) have extended into nearly all facets of human experience. Our ethnographic research suggests that while young people sense they can't “trust” AI, many are not sure how it works or how much control they have over its growing role in their lives. In this study, we attempt to answer the following questions: (1) What can we learn about young people's understanding of AI when they produce media with and about it? and (2) What are the design features of an ethics-centered pedagogy that promotes STEM engagement via AI? To answer these questions, we co-developed and documented three projects at YR Media, a national network of youth journalists and artists who create multimedia for public distribution. Participants are predominantly youth of color and those contending with economic and other barriers to full participation in STEM fields. Findings showed that by creating a learning ecology that centered the cultures and experiences of its learners while leveraging familiar tools for critical analysis, youth deepened their understanding of AI. Our study also showed that providing opportunities for youth to produce ethics-centered interactive stories interrogating invisibilized AI functionalities, and to release those stories to the public, empowered them to creatively express their understandings and apprehensions about AI.

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Arn LHuang E(2024)“Robots Can Do Disgusting Things, but Also Good Things”: Fostering Children’s Understanding of AI through StorytellingACM Transactions on Computing Education10.1145/367761324:3(1-55)Online publication date: 27-Sep-2024
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Index Terms

In the Black Mirror: Youth Investigations into Artificial Intelligence
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Informal education

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cover image ACM Transactions on Computing Education

ACM Transactions on Computing Education Volume 22, Issue 3

September 2022

393 pages

EISSN:1946-6226

DOI:10.1145/3542931

Editor:
Amy J. Ko
University of Washington, USA

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Publication History

Published: 29 October 2022

Online AM: 18 April 2022

Accepted: 30 August 2021

Revised: 16 July 2021

Received: 09 July 2020

Published in TOCE Volume 22, Issue 3

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https://dl.acm.org/doi/10.1145/3679318.3685337
Arn LHuang E(2024)“Robots Can Do Disgusting Things, but Also Good Things”: Fostering Children’s Understanding of AI through StorytellingACM Transactions on Computing Education10.1145/367761324:3(1-55)Online publication date: 27-Sep-2024
https://dl.acm.org/doi/10.1145/3677613
Tseng TDavidson MMorales-Navarro LChen JDelaney VLeibowitz MBeason JShapiro R(2024)Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design PracticesACM Transactions on Computing Education10.1145/364155224:2(1-37)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.1145/3641552
Coroiu ACălin AGăceanu RVescan A(2024)Advancements, Challenges, and Emerging Trends in Computer Science Education: A Systematic Literature Review of Academic and Professional Learning: Editorial2024 IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C)10.1109/SANER-C62648.2024.00006(1-12)Online publication date: 12-Mar-2024
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