States of Knowledge
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
When LLMs are asked to explain scripture, justify ethical claims, or translate doctrinal concepts into actionable guidance, they participate in shaping what counts as legitimate knowledge, who is authorized to speak, and under what institutional conditions interpretive claims acquire normative force.
“It is a problem of governance and authority: when systems are asked to explain scripture, justify ethical claims, or translate doctrinal concepts into actionable guidance, they participate in shaping what counts as legitimate knowledge, who is authorized to speak, and under what institutional conditions interpretive claims acquire normative force [10,13,18].”
From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [18]
Public credibility depends upon institutional procedures of authorization, review, and validation rather than upon knowledge claims alone.
“Jasanoff's [18] concept of civic epistemologies explains these culturally specific practices by demonstrating that public credibility depends upon institutional procedures of authorization, review, and validation rather than upon knowledge claims alone.”
From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [18]
Communities develop different procedures for determining whose knowledge deserves trust and how competing claims should be evaluated.
“Communities develop different procedures for determining whose knowledge deserves trust and how competing claims should be evaluated.”
From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [18]
The legitimacy of interpretive claims is established through culturally embedded practices of public validation rather than technical correctness alone.
“The legitimacy of interpretive claims is established through culturally embedded practices of public validation rather than technical correctness alone [18].”
From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [18]
Authority is a sociotechnical accomplishment, continuously enacted through the interaction of people, institutions, technologies, and governance practices.
“Science and Technology Studies (STS) provides a useful response by shifting attention from authority as an individual attribute to authority as a sociotechnical accomplishment [18,21].”
From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [18]
Digital platforms, algorithmic systems, and generative AI increasingly participate in the production and circulation of religious knowledge.
“Digital platforms, algorithmic systems, and generative AI increasingly participate in the production and circulation of religious knowledge”
From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [18]
Interpretive legitimacy continues to depend upon institutional authorization, representative mediation, communal recognition, and accountable governance.
“yet interpretive legitimacy continues to depend upon institutional authorization, representative mediation, communal recognition, and accountable governance [13,18,32,37].”
From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [18]
This emphasis aligns with governance approaches that locate accountability in institutional embedding, disclosure regimes, and public-facing design rather than in technical performance alone.
“This emphasis aligns with governance approaches that locate accountability in institutional embedding, disclosure regimes, and public-facing design rather than in technical performance alone [13,18] (Table 2).”
From Who speaks when machines read scripture: boundary-making and interpretive authority in AI-mediated religious knowledge (2026) · cites this paper as [18]
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“…having an “improved management” aim, our framework also has the more diffusely felt objective of seeking knowledge generation and retention by society, through participatory processes [Jasanoff , 2004, 2013; Meadow et al., 2015], “soft-systems thinking,” and social learning [Cundill et al., 2012].”
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The Due Process Deficit: Auditing AI Governance in U.S. Higher Education
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- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2004-07-31
- OpenAlex
- W4252594356
- Cited by
- 2,963
- References
- 0
- Citations by year
- 2026: 415 · 2025: 235 · 2024: 136 · 2023: 161 · 2022: 206 · 2021: 144 · 2020: 261 · 2019: 238 · 2018: 180 · 2017: 133 · 2016: 135 · 2015: 103 · 2014: 120 · 2013: 99 · 2012: 104
- FWCI
- 47.36
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Knowledge Management and Technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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