arxiv: 2604.26494 · v1 · submitted 2026-04-29 · 💻 cs.HC · cs.AI· cs.CY· cs.ET

Recognition: unknown

Culturally Aware GenAI Risks for Youth: Perspectives from Youth, Parents, and Teachers in a Non-Western Context

Aljawharah Alzahrani , Tory Park , Tanusree Sharma

Authors on Pith no claims yet

Pith reviewed 2026-05-07 11:48 UTC · model grok-4.3

classification 💻 cs.HC cs.AIcs.CYcs.ET

keywords generative AIyouth privacycultural risksSaudi Arabianon-Western contextsemotional supportfamily honorshared accounts

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The pith

Youth in Saudi Arabia face privacy risks from GenAI when sharing personal details that clash with cultural expectations of modesty and family honor.

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

The paper investigates how generative AI tools create new privacy and safety issues for youth aged 7 to 17 in Saudi Arabia by examining their interactions alongside those of parents and teachers. Through analysis of over 2000 social media posts and interviews with 31 participants, it shows that seeking emotional support from AI often leads to disclosures of personal and family information that violate communal norms around modesty, privacy, and honor. These issues are worsened by socioeconomic practices such as sharing GenAI accounts to reduce costs. The work matters because most prior safety research on AI for youth assumes Western individual privacy models, leaving gaps in understanding relational and cultural risks in communal societies. It concludes with design implications for parental controls that respect local values instead of imposing external standards.

Core claim

Through mixed-methods analysis of Reddit and X posts plus interviews, the study establishes that GenAI use by Saudi youth carries significant risks from disclosing personal and family information, which directly conflicts with culturally rooted expectations of modesty, privacy, and honor. These risks intensify when youth turn to AI for emotional support and are further amplified by cost-driven use of shared accounts within families or among strangers. The findings frame privacy and safety as context-dependent and relational, shaped by communal structures and prescribed social norms, and translate into design implications aligned with parents' and teachers' expectations for appropriate youth-

What carries the argument

Context-dependent and relational privacy formed by communal structure and prescribed norms of modesty, privacy, and honor, which creates conflicts when youth disclose information to GenAI for emotional support.

If this is right

GenAI tools require culturally adapted parental controls that align with expectations of modesty and honor rather than standard Western privacy settings.
Shared account practices driven by cost create additional exposure pathways that demand targeted safeguards for family or group use.
Parents and teachers anticipate guidance mechanisms that let youth use GenAI while preserving relational family privacy.
Risk assessments for youth AI use must account for non-Western communal influences instead of applying universal models.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

AI developers could add optional cultural privacy modules for regions with strong honor-based norms to reduce unintended disclosures.
The same disclosure conflicts may appear in other communal or honor-oriented societies, pointing to the value of comparative studies across countries.
Schools or community programs might test workshops that teach youth culturally compatible ways to seek support from AI without violating family expectations.

Load-bearing premise

That the analyzed social media posts and the convenience sample of Saudi youth, parents, and teachers capture representative experiences without major selection or reporting bias.

What would settle it

A broad observational study or larger representative survey of Saudi youth GenAI use that finds no perceived conflicts between emotional support disclosures and family honor or modesty norms would undermine the central claim.

read the original abstract

Generative AI tools are widely used by youth and have introduced new privacy and safety challenges. While prior research has explored youth's safety in GenAI within western context, it often overlooks the cultural, religious, and social dimensions of technology use that strongly shape youths digital experiences in countries like Saudi Arabia. To address the gap, this study explores children (aged 7 to 17), parents and teachers interactions with GenAI tools and risk perceptions through non-western lens. Through a mixed methods approach, we analyzed 736 Reddit and 1,262 X(Twitter) posts and conducted interviews with 31 Saudi Arabian participants (8 youth, 13 parents, 10 teachers). Our findings highlight context dependent and relational privacy and safety of GenAI from non-western context which often formed by communal structure and prescribed norms. We found significant risks tied to youths disclosure of personal and family information, which conflict with culturally rooted expectations of modesty, privacy, and honor, particularly when youth seek emotional support from GenAI. These risks further compounded by socio economic factors such as cost-saving practices leading to the use of shared GenAI accounts (e.g.ChatGPT) within families or even among strangers. We provide design implication reflecting on parents and teachers expectation of how youth should use GenAI. This work lays groundwork for inclusive, context sensitive parental controls that adhere to cultural norms and values.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

This paper gathers Saudi interview and social media data on GenAI risks for youth but the sampling leaves the cultural claims on shaky ground.

read the letter

The main takeaway is that this work pulls primary data from Saudi Arabia to show how youth GenAI use, especially for emotional support, runs into local norms around modesty, family honor, and shared accounts driven by cost. It flags disclosure of personal or family info as a particular flashpoint in that setting. That linkage is not in the Western literature the abstract cites, so the non-Western angle is the real addition here. The mixed-methods setup with 736 Reddit posts, 1,262 X posts, and 31 interviews (8 youth, 13 parents, 10 teachers) gives some grounded examples of relational privacy issues and communal practices. That effort to move past Western-centric views is worth noting and the authors do surface socio-economic factors like shared logins that prior work often skips. The data collection itself is a reasonable first step for an HCI study in an under-covered context. The soft spots sit mainly in how far the findings can be pushed. Social media scraping from Reddit and X tends to over-represent urban, English-proficient, or publicly vocal users, which may miss more traditional or lower-SES households where the paper says communal norms are strongest. The interview sample is convenience-based with no reported breakdown by region, gender balance, religiosity, or income, even though the authors themselves note those variables shape the risks. Without details on coding reliability or how cultural interpretations were checked, the thematic claims rest on interpretive work that is hard to verify from the abstract alone. If the full methods section does not add those checks, the evidence for broad “culturally rooted” patterns stays limited. This paper is for HCI researchers or designers working on global youth safety tools and policy. Readers who need concrete non-Western examples will get something usable, though anyone expecting robust generalizable claims will want more. It deserves peer review because the gap it targets is real and the data collection provides a starting point that referees can strengthen on sampling and transparency.

Referee Report

2 major / 1 minor

Summary. This paper claims to explore GenAI risks for youth in a non-Western (Saudi Arabian) context using a mixed-methods approach. It analyzes 736 Reddit posts and 1,262 X posts, supplemented by interviews with 31 Saudi participants (8 youth, 13 parents, 10 teachers). The key findings emphasize context-dependent privacy and safety issues shaped by communal structures and norms, particularly risks from youth disclosing personal and family information that conflict with cultural expectations of modesty, privacy, and honor—especially when seeking emotional support from GenAI. Additional risks arise from socio-economic factors like shared GenAI accounts, and the paper concludes with design implications for culturally sensitive parental controls.

Significance. If the results hold, the paper makes a valuable contribution to the field of human-computer interaction by addressing the gap in research on GenAI safety and privacy for youth outside Western contexts. It provides empirical insights into how cultural, religious, and social dimensions influence technology use in Saudi Arabia, highlighting the need for culturally aware design. The mixed-methods design combining social media scraping and interviews is appropriate and offers complementary breadth and depth. This groundwork for inclusive, context-sensitive parental controls could inform more equitable AI development practices.

major comments (2)

[Methods] The central claim that youth disclosure of personal and family information creates culturally specific risks conflicting with expectations of modesty, privacy, and honor depends on the representativeness of the data sources. The Methods section describes a convenience sample of 31 interviewees without providing details on stratification by region, socio-economic status, gender balance, or religiosity—factors the paper itself identifies as relevant to communal norms and shared-account practices. Similarly, the social media posts (736 Reddit, 1,262 X) are likely skewed toward certain demographics, potentially missing more traditional voices. This could limit the generalizability of the findings to the broader Saudi population.
[Analysis] The thematic analysis of posts and interviews does not report details on coding procedures, such as inter-rater agreement or validation of cultural interpretations. Given that the findings hinge on identifying context-dependent risks tied to cultural norms, the absence of these reliability measures raises questions about the robustness of the thematic categories related to privacy, honor, and emotional support use.

minor comments (1)

[Abstract] The abstract refers to 'X(Twitter)' without clarification; it should specify 'X (formerly Twitter)' to avoid confusion for readers unfamiliar with the platform's rebranding.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive feedback and for recognizing the value of our work in addressing GenAI risks in a non-Western context. We have carefully considered the major comments and provide point-by-point responses below, along with our plans for revision.

read point-by-point responses

Referee: [Methods] The central claim that youth disclosure of personal and family information creates culturally specific risks conflicting with expectations of modesty, privacy, and honor depends on the representativeness of the data sources. The Methods section describes a convenience sample of 31 interviewees without providing details on stratification by region, socio-economic status, gender balance, or religiosity—factors the paper itself identifies as relevant to communal norms and shared-account practices. Similarly, the social media posts (736 Reddit, 1,262 X) are likely skewed toward certain demographics, potentially missing more traditional voices. This could limit the generalizability of the findings to the broader Saudi population.

Authors: We agree that detailing the sample characteristics and acknowledging limitations is important for transparency. Our interview recruitment was conducted via convenience sampling through established networks in Saudi Arabia to navigate cultural sensitivities around discussing family and personal matters. We did not explicitly stratify by the mentioned factors due to challenges in recruiting participants for sensitive topics while ensuring voluntary participation and privacy. The social media data consists of publicly available posts, which naturally reflect users willing to discuss GenAI experiences online. In the revised version, we will expand the Methods section to include more information on recruitment procedures, participant demographics where available, and add a limitations paragraph in the Discussion section addressing potential biases and the scope of generalizability. We will also clarify that the study is exploratory and aims to surface culturally specific insights rather than provide population-level estimates. revision: yes
Referee: [Analysis] The thematic analysis of posts and interviews does not report details on coding procedures, such as inter-rater agreement or validation of cultural interpretations. Given that the findings hinge on identifying context-dependent risks tied to cultural norms, the absence of these reliability measures raises questions about the robustness of the thematic categories related to privacy, honor, and emotional support use.

Authors: We acknowledge the need for greater transparency in our analytical process. The thematic analysis was conducted inductively by the lead author, with iterative discussions and consensus-building among all co-authors, who possess relevant cultural and contextual knowledge of Saudi society. This collaborative approach served to validate cultural interpretations. Formal inter-rater reliability metrics were not computed because the coding was not performed independently by multiple coders but rather through team review. In the revised manuscript, we will provide a detailed account of the coding steps, including how themes were developed, refined, and validated through team consensus and, where feasible, participant feedback. This will strengthen the description of our methods without altering the core findings. revision: partial

Circularity Check

0 steps flagged

No circularity in empirical qualitative analysis

full rationale

The paper reports thematic findings from direct analysis of 736 Reddit posts, 1,262 X posts, and 31 interviews with Saudi participants. No equations, fitted parameters, self-definitional loops, or load-bearing self-citations appear in the provided text; claims about disclosure risks and cultural norms are presented as emerging from the collected data rather than reducing to inputs by construction. This is standard qualitative research with no derivation chain that collapses into its own premises.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claims rest on interpretive assumptions about Saudi cultural norms rather than on quantitative models or external benchmarks.

axioms (1)

domain assumption Saudi cultural norms around modesty, family honor, and communal privacy strongly shape digital disclosure decisions.
Used to interpret why certain GenAI interactions constitute risks.

pith-pipeline@v0.9.0 · 5565 in / 1264 out tokens · 37007 ms · 2026-05-07T11:48:00.753644+00:00 · methodology

discussion (0)

Reference graph

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