Cited by 10Intelligent Tutoring Systems and Adaptive LearningEthics and Social Impacts of AIArtificial Intelligence in Education

The risk of algorithmic injustice for interactive learning environments

Open access
Rospigliosi, Pericles asher·2021·Interactive Learning Environments

Abstract

Major changes are taking place in education, and the most pressing of these changes is how the role and scope of artificial intelligence (AI) is increasing. After a very long AI winter the exponent...

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Crossref · 10.1080/10494820.2021.1940485

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  • AI literacy is especially necessary for minoritized students, who already face a lack of access and participation in technology-related fields and are more likely to fall prey to misinformation and unfair decisions made by AI.

    “AI literacy is especially necessary for minoritized students, who already face a lack of access and participation in technologyrelated fields and are more likely to fall prey to misinformation and unfair decisions made by AI [44].”

    From Incorporating generative AI into a writing-intensive undergraduate course without off-loading learning (2025) · cites this paper as [44]

    The “Algorithmic harm” section describes algorithmic decisions that reinforce under-privilege and an image-recognition error affecting African-American people. It does not say that minoritized students have less access to technology-related fields, are more susceptible to misinformation, or especially need AI literacy. Page numbers are unavailable in our copy. (LLM, conf=0.85)

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Authors
Rospigliosi, P. A.
Affiliations
Brighton Business School, University of Brighton, Brighton, UK
Venue
Interactive Learning Environments
Published
2021-05-19
Volume
29
Issue
4
Pages
523-526
ISSN
  • 1049-4820 (ISSN-L)
  • 1744-5191
OpenAlex
W3174394194
Cited by
10
References
14
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 2
Type
journal article
Language
en
Open access
Locations
  • Interactive Learning Environments (publishedVersion)
  • University of Brighton Repository (University of Brighton) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
Keywords
algorithmic injustice, algorithmic fairness, artificial intelligence in education, algorithmic bias, educational technology

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