Enhancing children’s understanding of algorithmic biases in and with text-to-image generative AI
Bibliographic Data
| ID | 6443485 |
|---|---|
| Authors | Henriikka Vartiainen (0000-0001-6005-907X, University of Eastern Finland, corresponding author), Juho Kahila (0000-0002-9913-0627, University of Eastern Finland), Matti Tedre (0000-0003-1037-3313, University of Eastern Finland), Sonsoles López‐perna (0000-0002-9621-1392, University of Eastern Finland), Nicolas Pope (0000-0002-5694-4970, University of Eastern Finland) |
| Year | 2024 |
| Volume | 27 |
| Issue | 9 |
| Pages | 5342-5368 |
| Publication date | 2024-05-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | New Media & Society (JOURNAL) |
| Journal identifiers | ISSN: 1461-4448 • E-ISSN: 1461-7315 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/14614448241252820 |
| OpenAlex | W4397034407 |
| Language | EN |
| Citations received | 11 |
| References cited | 51 |
Despite the growing concerns surrounding algorithmic biases in generative AI (artificial intelligence), there is a noticeable lack of research on how to facilitate children and young people’s awareness and understanding of them. This study aimed to address this gap by conducting hands-on workshops with fourth- and seventh-grade students in Finland, and by focusing on students’ ( N = 209) evolving explanations of the potential causes of algorithmic biases within text-to-image generative models. Statistically significant progress in children’s data-driven explanations was observed on a written reasoning test, which was administered prior to and after the intervention, as well as in their responses to the worksheets they filled out during a lesson that focused on algorithmic biases. The article concludes with a discussion on the development and facilitation of children’s understanding of algorithmic biases
Cognitive psychology · Cognitive science · Generative grammar · Generative model · Image (mathematics · Natural language processing · Child and Animal Learning Development · Computer Science · Ethics and Social Impacts of AI · Psychology · Teaching and Learning Programming · Artificial Intelligence
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| Unique citing works | 11 |
|---|---|
| Citations per year | 11 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |