First Year CS Students Exploring And Identifying Biases and Social Injustices in Text-to-Image Generative AI-Reference-Cited by-同舟云学术

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First Year CS Students Exploring And Identifying Biases and Social Injustices in Text-to-Image Generative AI

Published:2024-07-03 Issue: Volume: Page:485-491
ISSN:
Container-title:Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1
language:
Short-container-title:

Author:

Apiola Mikko¹^ORCID,Vartiainen Henriikka²^ORCID,Tedre Matti¹^ORCID

Affiliation:

1. School of Computing, University of Eastern Finland, Joensuu, Finland

2. School of Applied Educational Science and Teacher Education, University of Eastern Finland, Joensuu, Finland

Funder

Strategic Research Council (SRC) established within the Research Council of Finland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649217.3653596

Reference32 articles.

1. Computing Education Research Compiled: Keyword Trends, Building Blocks, Creators, and Dissemination

2. Alexandra Such Bass. 2023. Once upon AI time... The Economist: World Ahead: 2024 (dec 2023), 125--125.

3. On the Dangers of Stochastic Parrots

4. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

5. Typology of Risks of Generative Text-to-Image Models

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