From AI Ethics to AI Justice: A Comprehensive Framework for Equitable Governance in Education and Social Systems
DOI:
https://doi.org/10.21015/vtess.v13i3.2264Abstract
Artificial intelligence is embedded in educational systems and social structures, which creates ethical issues that cannot be resolved at the algorithm level only. This paper provides a critical review of general AI ethics and forms an AI justice angle based on relational equality. It systematizes the criticism into three spheres: (a) conceptual - misleading labels and narrow frames of understanding that conceal the infrastructural reach of AI; (b) substantive - ignored environmental, labour and distributional harms in AI life-cycle; and (c) procedural - advisory processes where the industry dominates and expertise is limited. Based on these diagnostics the paper proceeds with actionable reforms: use accurate language and situational analyses; consider non-technical options first, and then AI solutions; involve community and civil-society actors in deliberation; and instigate sound philosophical ethics into interdisciplinary teams. The contribution of the paper is a practical justice-driven roadmap that can be used by educators, policymakers and social scientists to assess AI implementation and direct the process toward more equitable and sustainable results.
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