Toward a Cultural Co-Genesis of AI Ethics

Ammar Younas

REVIEW 3 major objections 5 minor 8 references

Toward a Cultural Co-Genesis of AI Ethics

T0 review · 3 major / 5 minor · reviewed 2026-08-07 · deepseek-v4-flash

Challenge this review Re-run · record.json Download PDF Read on arXiv ↗ Review JSON

Pith's one-line read Global AI ethics, the paper claims, is being co-created through intercultural dialogue, and governance should be built around that fact.

desk verdict Conceptual reframing is plausible and worth discussing, but the empirical case for co-genesis does not exclude policy diffusion, so treat the evidence as suggestive at most. read the letter →

arxiv 2505.21542 v1 pith:QXDNV7CA submitted 2025-05-24 cs.CY

Ammar Younas This is my paper · ORCID

classification cs.CY

keywords AIEthicsCross-CulturalEthicalPluralismMosaicLinkingPrinciplesInterculturalDialogueCulturalCo-GenesisGovernance

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper argues that the standard choice in global AI ethics—between universal principles imposed from above and isolated cultural traditions defended from within—is a false one. Its central claim is that ethical values for AI are co-produced through intercultural dialogue, mutual recognition, and shared moral inquiry, so culture is a generative resource rather than an obstacle. The paper supports this claim with a conceptual reading of non-Western narratives about powerful new beings, which reframe existential risk, and an empirical reading of the Linking AI Principles dataset showing convergence on values such as fairness, transparency, and dignity across diverse frameworks. If the claim is right, the practical task for AI governance shifts from selecting principles or protecting traditions to building deliberative spaces in which traditions co-author shared ethical meaning.

What carries the argument

The mechanism carrying the argument is the concept of Cultural Co-Genesis of Ethics: the idea that ethics is formed in the relational field between cultures, which the paper likens to a quantum-like moral space where meanings take shape through encounter rather than in isolation. This concept reframes culture from a bounded container of inherited norms into an active co-author of ethical meaning. The framework is supported by two instruments: cross-cultural narratives about the emergence of powerful non-human beings, which unsettle the Western existential-risk framing of AI, and the empirical convergence of global AI principles, read through the project's keyword taxonomy as relational attractors where distinct traditions meet.

What would settle it

A study that traces the timing and direction of similarity among AI ethics frameworks—whether convergence clusters around the adoption of UNESCO's Recommendation and follows institutional diffusion, or arises through bidirectional exchange among traditions—would settle whether the convergence is co-genesis or alignment; if frameworks with no documented intercultural contact converge just as strongly, the co-genesis reading would be undercut.

Watch

Extended reading notes

Core claim

The central discovery is that global AI ethics is already exhibiting what the paper calls Cultural Co-Genesis: ethical values are not pre-given or pre-negotiated but emerge in the relational space between cultural traditions. The paper argues that the convergence of over 100 AI ethics frameworks on dimensions such as fairness, transparency, privacy, safety, accountability, human well-being, sustainability, collaboration, long-term responsibility, and dignity is evidence of this co-creation, not of sameness or top-down imposition. Each tradition contributes its own moral language to shared questions, and the result is a mosaic in progress rather than a patchwork or a single global code.

Load-bearing premise

The load-bearing premise is that the observed convergence in global AI ethics principles reflects genuine intercultural co-creation rather than the diffusion of a dominant framework or top-down harmonization; if convergence is a policy artifact, the empirical case for co-genesis loses its evidence.

Editorial extensions

If this is right

Global AI ethics should be designed as intercultural deliberation from the outset, not as translation after principles are fixed.
Ethical convergence in existing AI guidelines is better read as evidence of co-creation than as accidental overlap or a policy artifact.
Existential-risk framings of AGI become one cultural narrative among many, not the default frame for global governance.
International instruments like UNESCO's Recommendation should be treated as catalysts for dialogue, not as the source of a singular global ethic.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

If co-genesis is real, the paper's own evidence suggests a sharper test it does not run: convergence driven by dialogue should show reciprocal influence between traditions, while convergence driven by a dominant template would show one-way borrowing.
A practical consequence the paper leaves implicit is that ethics bodies should be judged by the symmetry of participation in their drafting processes, not only by the principles they publish.
The framework also implies a research program: mapping the actual citation and intertextuality networks among AI ethics frameworks over time to distinguish co-creation from policy diffusion.

Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Desk Editor's Note

read the letter

Quick take: the paper's conceptual argument—that cross-cultural AI ethics should treat culture as generative rather than as a problem to be managed—is coherent and worth engaging. The empirical section, though, does not do the work assigned to it. The convergence it describes is real and already documented; the mechanism it claims (co-creation) is not distinguished from simpler explanations like policy diffusion or UNESCO-led harmonization.

What's actually new: the explicit 'Cultural Co-Genesis' framing, and the theoretical case that reads non-Western narratives about powerful entities (Mahdi/Dajjal, Confucian harmony, Indigenous relational ontologies) against the dominant Western existential-risk story. That part is interesting and could be developed further. The paper also deserves credit for naming its own method as 'interpretive reading' of the Linking AI Principles taxonomy—that's honest, but it means the empirical claim is essentially an anecdote, not a test.

The soft spots are exactly where the reader's report says they are. The paper cites Jobin et al. 2019 and Fjeld et al. 2020, both of which already establish convergence across AI ethics guidelines. So the empirical 'case' replicates prior findings without adding a new dataset, coding rules, or inter-rater reliability. More damaging is the internal tension: the paper itself notes 'intertextuality' and UNESCO's catalytic role, then dismisses the artifact reading in a single clause ('not as coincidences or policy artifacts, but as the product of a distributed and dialogical ethical process'). That is assertion, not evidence. The observed keyword overlap is equally consistent with top-down harmonization or Western dominance. The central conceptual claim may still be right—values can be co-produced through dialogue—but the empirical pillar underdetermines it.

I would not desk-reject this. The conceptual contribution is real, if incremental, and the theoretical case offers a perspective that could inform governance discussions. But it needs a serious referee and major revision: either remove the empirical framing or replace it with a reproducible analysis (e.g., coding the LAIP data with explicit rules and inter-rater reliability) and explicitly test alternative explanations. The author should also position the contribution more honestly relative to Jobin and Fjeld.

For a reader: this is for people working on cross-cultural AI ethics and governance; it will make them think, but they should not cite the empirical convergence as new evidence. I'd bring it to reading group as a discussion piece. My own citation in the next year? Probably not—the novelty is mostly terminological, and the empirical part is not reusable. But a serious journal should send it out; it deserves referee time.

Referee Report

3 major / 5 minor

Summary. The paper proposes a conceptual framework, "Cultural Co-Genesis of Ethics," which holds that ethical values for AI emerge through intercultural engagement, dialogical encounters, and shared moral inquiry rather than being pre-given, universally imposed, or culturally siloed. It argues against the universalism/relativism binary and advances a "mosaic" model of ethical pluralism, where cultural traditions co-author shared normative meaning. The framework is supported by two cases: a theoretical analysis of cross-cultural narratives about powerful new entities (challenging existential-risk framings of AGI) and an empirical study of convergence in global AI ethics principles using data from the Linking AI Principles project. The paper concludes that cross-cultural AI ethics is not an ethical patchwork but a "mosaic in progress," and that co-genesis is already underway.

Significance. The conceptual contribution is valuable. The paper identifies a real gap in cross-cultural AI ethics—the dichotomy between universalism and relativism—and offers a third path that treats culture as a generative resource rather than a barrier. The framework of co-genesis and the mosaic metaphor are clear, accessible, and potentially useful for reorienting governance discussions. The paper also merits credit for grounding its argument in a concrete dataset (Linking AI Principles) and for explicitly acknowledging the intertextuality of AI ethics frameworks and the catalytic role of UNESCO's Recommendation. These acknowledgments strengthen the descriptive accuracy of the empirical section even though, as elaborated below, the interpretation of that data is not yet conclusive. If the empirical case can be made to discriminate between co-creation and policy diffusion, the paper would make a distinctive contribution to both AI ethics and intercultural philosophy.

major comments (3)

[§Empirical Case; §Enacting Cultural Co-Genesis] The empirical case cannot rule out the alternative explanation that convergence in global AI principles is a policy artifact of top-down harmonization rather than a product of distributed co-creation. The manuscript explicitly notes that "International instruments like UNESCO’s Recommendation on the Ethics of Artificial Intelligence have catalyzed these exchanges," which is a mechanism of institutional alignment, yet the later dismissal of this alternative—the phrase "not as coincidences or policy artifacts" in §Enacting Cultural Co-Genesis—is a bare assertion rather than a test. To make the co-genesis reading credible, the authors must either provide a discriminating test (e.g., comparing convergence patterns before/after UNESCO, analyzing citation or echo networks among frameworks, controlling for Western-origin templates or institutional isomorphism) or soften the causal claim and present the observed convergence as an opening observation that motivates the framework, not as evidence that confirms it.
[§Empirical Case] The identification of the ten recurring ethical dimensions rests on "our own interpretive reading of the project’s keyword taxonomy" with no coding rules, inter-rater reliability, frequency counts, or regional breakdown. This creates a soft circularity: the authors select dimensions that fit their framework, and the recurrence of those same dimensions is then interpreted as evidence for co-genesis. Please provide a transparent coding procedure and at least basic quantitative summaries—for instance, how many of the 100+ frameworks contain each dimension, disaggregated by region and actor type—so that the claim of "deep ethical convergence" can be independently assessed.
[§Theoretical Case] The theoretical case is presented as a supporting case for co-genesis, but as written it is an illustration of cultural diversity in narratives about powerful entities, not evidence of co-creation. The selection of Islamic, Confucian, Indigenous, and naturalistic examples is not systematic, and the claim that these traditions "share a common feature" of non-catastrophic interpretation is asserted without engaging counter-examples or providing textual evidence. Moreover, the section does not demonstrate that these traditions are in dialogue with one another; it only shows that different cultures have different stories, which is equally compatible with cultural isolation. If this section is meant to support co-genesis, it needs an argument that these narratives are actually interacting and reshaping each other; otherwise, it should be reframed as motivational context for the framework.

minor comments (5)

[References] The reference list contains a stray 'and' in the entry "MacDonald, M. N., & and O’Regan, J. P. (2013)"; also, the two Chattopadhyay & De Vries entries (2013a and 2013b) appear to be identical and one should be removed.
[§Reframing Culture] The phrase "quantum-like moral space" is an evocative metaphor but is not defined or operationalized; please clarify whether this is intended as a conceptual construct or a rhetorical device, and if the latter, consider whether the quantum analogy adds clarity or only mystifies.
[§Empirical Case] The text lists the ten dimensions but provides no table or figure; a simple table reporting the frequency of each dimension across the frameworks and across regions would substantially strengthen the presentation and make the convergence claim more transparent.
[References] Several references are incomplete (the n.d. entries for Jobin and for Zeng et al.); the retrieval date for the Linking AI Principles data is only given in the associated web reference, not in the main text, which would help readers assess the currency of the dataset.
[Throughout] The paper alternates between "Cultural Co-Genesis of Ethics," "Cultural Co-Genesis of AI Ethics," and "Cultural Co-Genesis" without a consistent distinction; aligning the terminology would reduce confusion.

Circularity Check

2 steps flagged · score 5.0 of 10

Empirical support for Cultural Co-Genesis reduces to renaming observed AI-principles convergence and then reading it through the framework's own definition, with policy-diffusion alternatives excluded by assertion.

renaming known result [Empirical Case – Convergence in Global AI Ethics Principles, paragraphs 2–3]
"Drawing from our own interpretive reading of the project’s keyword taxonomy, we identify a set of recurring ethical dimensions that form what we conceptualize as a quantum moral space, a shared field of thematic convergence across cultures. These dimensions include: fairness, transparency, privacy, safety, accountability, human well-being, sustainability, collaboration, long-term responsibility, and the promotion of human dignity."

The empirical support reduces to relabeling: the already documented convergence in global AI ethics principles, drawn from the Linking AI Principles dataset, is renamed as a 'quantum moral space' and then, a paragraph later, as 'evidence of what we call Cultural Co-Genesis of Ethics.' Because the dimensions are selected through the authors' own interpretive reading rather than through a pre-registered or externally validated measure, the observation does not independently test the framework. It restates the dataset's known thematic overlap in the framework's vocabulary and presents that restatement as confirmation.
self definitional [Enacting Cultural Co-Genesis: From Framework to Practice, final paragraph]
"These areas of alignment can be understood not as indicators of moral sameness, but as points of resonance within a broader ethical field —a shared landscape shaped by mutual observation, practical necessity, and cross-cultural moral reasoning. Cultural Co-Genesis provides the conceptual grammar to understand these resonances not as coincidences or policy artifacts, but as the product of a distributed and dialogical ethical process."

The framework is defined by the claim that ethical values 'are co-produced through intercultural engagement, dialogical encounters, and mutual moral inquiry.' Any observed convergence in AI principles is then read through that grammar, and rival explanations such as top-down harmonization or policy artifacts are excluded by assertion rather than by empirical comparison. The empirical claim is thus not falsifiable within the paper: alignment counts as co-genesis because the framework defines alignment-as-dialogue to be co-genesis, making the conclusion equivalent to its interpretive premise.

full rationale

The paper's theoretical contribution is not itself circular: the philosophical case for seeing culture as generative rather than as a boundary is argued from dialogical ethics and intercultural philosophy, and the theoretical case about non-Western narratives of powerful entities is independent of the empirical dataset. There are no fitted parameters, no numerical predictions, and no load-bearing self-citations by the author. The circularity is concentrated in the empirical pillar. The paper takes a known corpus of converging AI ethics principles, selects recurring dimensions through its own interpretive reading, and then labels that convergence as 'Cultural Co-Genesis.' This is a renaming of a known empirical pattern rather than a test of the proposed mechanism. The paper itself acknowledges the main confound: 'International instruments like UNESCO's Recommendation on the Ethics of Artificial Intelligence have catalyzed these exchanges.' That is a description of institutional harmonization, not distributed co-creation. When the paper later asserts that the alignment should be understood 'not as coincidences or policy artifacts, but as the product of a distributed and dialogical ethical process,' it is invoking the framework's own definition to settle the empirical question. Because the central philosophical claim retains independent content and the circularity is partial rather than total, the score is moderate rather than extreme. The finding is that the empirical evidence for co-genesis is substantially underdetermined, and the move from observed convergence to co-genesis is reduction by interpretive labeling.

Assumptions & free parameters 2 free parameters · 3 assumptions · 0 invented entities

No numeric free parameters exist because the paper performs no statistical fitting. However, the analysis depends on hand-chosen qualitative parameters: the ten ethical dimensions used to claim convergence, and the selection of cultural traditions that support the relational narrative. These choices function as free parameters in the argument.

free parameters (2)

Interpretive classification of ethical dimensions = fairness, transparency, privacy, safety, accountability, human well-being, sustainability, collaboration, long-term…
The paper identifies these as recurring dimensions based on the author's own reading of the keyword taxonomy, not on a systematic measurement or statistical test. This hand-picked list is then used to claim convergence.
Selection of cultural traditions for the theoretical case = Islamic eschatology, Confucianism, Indigenous American/African cosmologies
The paper selects examples that support the relational framing and does not survey counterexamples, e.g., traditions with strongly apocalyptic readings of powerful entities.

assumptions (3)

domain assumption Culture is dynamic and generative rather than static
The entire Cultural Co-Genesis framework depends on this view of culture as a space for ethical co-production, introduced in the 'Reframing Culture in AI Ethics' section.
domain assumption The Linking AI Principles dataset is representative and its keyword taxonomy reflects values
The empirical case treats the dataset of over 100 frameworks as a valid basis for drawing conclusions about global cultural convergence, without discussing its compilation biases.
ad hoc to paper Convergence in principles indicates co-creation rather than hegemonic diffusion
The paper interprets observed convergence as evidence of intercultural co-genesis, but this is exactly the claim being argued and is not independently tested against alternative mechanisms of institutional harmonization.

how reviews work

0 comments

Cite this review

Pith. "Pith review of Toward a Cultural Co-Genesis of AI Ethics." pith.science (2026). https://pith.science/paper/QXDNV7CA

@misc{pith2026250521542,
  author       = {Pith},
  title        = {Pith review of: Toward a Cultural Co-Genesis of AI Ethics},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/QXDNV7CA}},
  note         = {Machine review of arXiv:2505.21542}
}

read the original abstract

Contemporary discussions in AI ethics often treat culture as a source of normative divergence that needs to be accommodated, tolerated, or managed due to its resistance to universal standards. This paper offers an alternative vision through the concept of "Cultural Co-Genesis of AI Ethics." Rather than viewing culture as a boundary or container of isolated moral systems, we argue that it is a generative space for ethical co-production. In this framework, ethical values emerge through intercultural engagement, dialogical encounters, mutual recognition, and shared moral inquiry. This approach resists both universalist imposition and relativistic fragmentation. Cultures are not approached as absolutes to be defended or dissolved, but as co-authors of a dynamic ethical landscape. By grounding AI ethics in Cultural Co-Genesis, we move from managing difference to constructing shared ethical meaning for AI ethics, with culture as a partner, not a problem. We support this framework with two cases: (1) a theoretical analysis of how various cultures interpret the emergence of powerful new species, challenging dominant existential risk narratives, and (2) an empirical study of global AI ethics principles using data from the Linking AI Principles project, which reveals deep ethical convergence despite cultural diversity. We conclude that cross-cultural AI ethics should be seen not as an ethical patchwork, but as a mosaic in progress, woven from the normative insights that emerge between cultures.

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

8 extracted references · 4 canonical work pages

[1]

Abraham, T. J. (2022). The Gift of Death as the Grand Narrative of Humanism: Towards an Inclusive Ethos for Co -realization. Tattva Journal of Philosophy , 14(1), Article

work page 2022
[2]

Mind-sets

https://doi.org/10.12726/tjp.27.5 Amershi, B. (2022). The question of “Mind-sets” and AI: Cultural origins and limits of the current AI Ethical AIs and Cultural Pluralism. Artificial Intelligence Advances, 4(2), Article

work page doi:10.12726/tjp.27.5 2022
[3]

https://doi.org/10.30564/aia.v4i2.5156 Andanda, P., & Düwell, M. (2024). Individualistic Versus Relational Ethics – A Contestable Concept for (African) Philosophy. Ethical Theory and Moral Practice . https://doi.org/10.1007/s10677-024-10445-0 Apple, J. B. (2010). Eschatology and World Order in Buddhist Formations. Religious Studies and Theology, 29(1), 10...

arXiv 2024
[5]

https://doi.org/10.3390/e24050710 Elmahjub, E. (2023). Artificial Intelligence (AI) in Islamic Ethics: Towards Pluralist Ethi cal Benchmarking for AI. Philosophy & Technology , 36(4). Crossref. https://doi.org/10.1007/s13347-023-00668-x Ermine, W. (2007, October 1). The Ethical Space of Engagement . https://www.semanticscholar.org/paper/The-Ethical-Space-...

doi:10.3390/e24050710 2023
[6]

https://doi.org/10.28991/HEF-2022-03-03-03 Holliday, A. (2013). The politics of ethics in diverse cultural settings: Colonising the centre stage. Compare: A Journal of Comparative and International Education , 43(4), 537–554. https://doi.org/10.1080/03057925.2013.797775 Huang, L. T.-L., Papyshev, G., & Wong, J. K. (2025). Democratizing value alignment: Fr...

work page arXiv 2013
[8]

https://doi.org/10.3390/electronics13081457 Kayumova, S., & Strom, K. J. (n.d.). Ontology, Epistemology, and Critical Theory in STEM Education. In Oxford Research Encyclopedia of Education . Retrieved April 13, 2025, from https://oxfordre.com/education/display/10.1093/acrefore/9780190264093.001.0 001/acrefore-9780190264093-e- 1508?d=%2F10.1093%2Facrefore%...

arXiv 2024
[12]

https://doi.org/10.3389/fpsyg.2021.764360 Cave, S., Dihal, K., & Dillon, S. (2020). Introduction: Imagining AI. In S. Cave, K. Dihal, & S. Dillon (Eds.), AI Narratives: A History of Imaginative Thinking about Intelligent Machines (p. 0). Oxford University Press. https://doi.org/10.1093/oso/9780198846666.003.0001 Chattopadhyay, S., & De Vries, R. (2013a). ...

work page arXiv 2020
[1389]

https://doi.org/10.1007/s00431 - 009-0971-7 Whittlestone, J., Nyrup, R., Alexandrova, A., & Cave, S. (2019). The Role and Limits of Principles in AI Ethics. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 195–200. Crossref. https://doi.org/10.1145/3306618.3314289 Wong, P.-H. (2020). Cultural Differences as Excuses? Human Rights and...

arXiv 2019

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.

[1] [1]

Abraham, T. J. (2022). The Gift of Death as the Grand Narrative of Humanism: Towards an Inclusive Ethos for Co -realization. Tattva Journal of Philosophy , 14(1), Article

work page 2022

[2] [2]

Mind-sets

https://doi.org/10.12726/tjp.27.5 Amershi, B. (2022). The question of “Mind-sets” and AI: Cultural origins and limits of the current AI Ethical AIs and Cultural Pluralism. Artificial Intelligence Advances, 4(2), Article

work page doi:10.12726/tjp.27.5 2022

[3] [3]

https://doi.org/10.30564/aia.v4i2.5156 Andanda, P., & Düwell, M. (2024). Individualistic Versus Relational Ethics – A Contestable Concept for (African) Philosophy. Ethical Theory and Moral Practice . https://doi.org/10.1007/s10677-024-10445-0 Apple, J. B. (2010). Eschatology and World Order in Buddhist Formations. Religious Studies and Theology, 29(1), 10...

arXiv 2024

[4] [5]

https://doi.org/10.3390/e24050710 Elmahjub, E. (2023). Artificial Intelligence (AI) in Islamic Ethics: Towards Pluralist Ethi cal Benchmarking for AI. Philosophy & Technology , 36(4). Crossref. https://doi.org/10.1007/s13347-023-00668-x Ermine, W. (2007, October 1). The Ethical Space of Engagement . https://www.semanticscholar.org/paper/The-Ethical-Space-...

doi:10.3390/e24050710 2023

[5] [6]

https://doi.org/10.28991/HEF-2022-03-03-03 Holliday, A. (2013). The politics of ethics in diverse cultural settings: Colonising the centre stage. Compare: A Journal of Comparative and International Education , 43(4), 537–554. https://doi.org/10.1080/03057925.2013.797775 Huang, L. T.-L., Papyshev, G., & Wong, J. K. (2025). Democratizing value alignment: Fr...

work page arXiv 2013

[6] [8]

https://doi.org/10.3390/electronics13081457 Kayumova, S., & Strom, K. J. (n.d.). Ontology, Epistemology, and Critical Theory in STEM Education. In Oxford Research Encyclopedia of Education . Retrieved April 13, 2025, from https://oxfordre.com/education/display/10.1093/acrefore/9780190264093.001.0 001/acrefore-9780190264093-e- 1508?d=%2F10.1093%2Facrefore%...

arXiv 2024

[7] [12]

https://doi.org/10.3389/fpsyg.2021.764360 Cave, S., Dihal, K., & Dillon, S. (2020). Introduction: Imagining AI. In S. Cave, K. Dihal, & S. Dillon (Eds.), AI Narratives: A History of Imaginative Thinking about Intelligent Machines (p. 0). Oxford University Press. https://doi.org/10.1093/oso/9780198846666.003.0001 Chattopadhyay, S., & De Vries, R. (2013a). ...

work page arXiv 2020

[8] [1389]

https://doi.org/10.1007/s00431 - 009-0971-7 Whittlestone, J., Nyrup, R., Alexandrova, A., & Cave, S. (2019). The Role and Limits of Principles in AI Ethics. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 195–200. Crossref. https://doi.org/10.1145/3306618.3314289 Wong, P.-H. (2020). Cultural Differences as Excuses? Human Rights and...

arXiv 2019