Oct 2026· Frontiers in Education· 0 citations· 21 references
TL;DR
It is argued that platform ethics is discursively positioned to reshape academic authorship and to conduct student behaviour through regimes of corporate and state-aligned governance, and argues for critical platform literacy as an essential response to this parallel governance regime.
Abstract
This study critically examines the ethical frameworks of leading generative AI platforms to understand how they discursively position student writing, construct normative subjects, and redistribute epistemic authority in higher education. By asking what kind of “ethical academic subject” these documents construct and what functions their governance discourses perform, we conducted a critical discourse analysis of publicly available ethical and governance documents from nine widely used AI platforms and one contextual state-regulatory text, using versions retrieved on 1 October 2026. Guided by three research questions, the analysis drew on an integrated framework of posthumanism, sociomateriality, Foucauldian governmentality, and ethics of care, operationalised through Fairclough's three-dimensional model. The analysis reveals how these frameworks discursively construct students as hybrid cognitive agents simultaneously empowered by augmentation and disciplined by algorithmic oversight. We identify six interlocking discursive formations: safety governance, academic integrity regulation, transparency as an epistemic virtue, human-machine augmentation, platform procedural accountability, and relational responsibility, which function not as neutral ethical guides but as a powerful layer of discursively constituted algorithmic governmentality. We argue that platform ethics is discursively positioned to reshape academic authorship and to conduct student behaviour through regimes of corporate and state-aligned governance. The asymmetry between aspirational corporate commitments and directive user obligations is consistent with what the literature terms “ethics-washing”: ethical vocabulary that performs legitimacy while preserving corporate discretion. We identify this as a discursive function, not a demonstrated corporate motive. We also suggest, as a theoretical proposition for future empirical testing, that such regimes may leave limited spaces for tactical student agency. By conceptualising platform policies as claims to educational governing authority, we expose the tensions between empowerment and control embedded in AI-mediated writing and argue for critical platform literacy as an essential response to this parallel governance regime.
The growing use of generative artificial intelligence (AI) in academic writing raises questions about authorship, reflexivity, and epistemic responsibility in social work scholarship. This study examines whether generative AI can reproduce not only the structural features of scholarly discourse but also the reflexive...
Özge Özgür· British Journal of Social Wo...· 0 citations
This study explores how educational institutions in the Philippines address the challenges posed by artificial intelligence (AI) in maintaining academic integrity. Using qualitative document analysis, purposively selected institutional policies, guidelines, and ethical frameworks were examined to identify prevailing ap...
Precila Jabagat, Benedict V. Omblero, Esthrer-Rose Gabonada et al.· Psychology and Education: A...· 0 citations
As generative artificial intelligence (AI) becomes embedded in everyday literacy practices, pre-service teachers (PSTs) must decide what work remains distinctly human in AI-mediated meaning-making. This qualitative case study investigates how PSTs enact boundary work with generative AI during a semester-long literacy e...
I. O'Byrne· Literacy Research Theory Met...· 0 citations
The global proliferation of generative artificial intelligence has transformed safety governance into a highly contested sociopolitical battleground, yet existing discourse studies frequently under-theorize the micro-cognitive mechanisms of epistemic reality construction within AI safety standardization.
To...
Jun-Jie Ma, Hong-Ting Chen· Frontiers in Communication· 0 citations
The rapid adoption of generative artificial intelligence in higher education is transforming how academic work is produced and legitimized, raising questions about the governance of academic integrity. Current discussions tend to frame integrity as student misconduct, giving less attention to shifts in institutional ex...
This article aims to reconceptualize the legitimacy crisis of algorithmic governance as a problem of epistemic boundaries rather than technical design. Debates on algorithmic justice have largely revolved around transparency, explainability, and user trust, while a more basic question has remained in the background: on...
Harun Serpil· The Turkish Online Journal o...· 0 citations
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