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arxiv: 2604.06131 · v1 · submitted 2026-04-07 · 💻 cs.HC

Understanding Educators' Perceptions of AI-generated Non-consensual Intimate Imagery

Tongxin Li , Katelyn M Reyes , Liezeil Jimenez , Katie S Nam , Donghee Yvette Wohn This is my paper

Pith reviewed 2026-05-10 20:03 UTC · model grok-4.3

classification 💻 cs.HC
keywords AI-generated non-consensual intimate imageryeducator perceptionsschool policiesAI ethicsdigital safetyinterview studymoral declinepolicy gaps
0
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The pith

Educators see AI-generated non-consensual intimate imagery as a threat to students and themselves, yet schools have almost no training or policies to respond.

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

The paper reports results from interviews with 20 U.S. educators about their views on AI-generated non-consensual intimate imagery in schools. Educators voiced worries that such images could lead to moral decline among students and that teachers themselves could become targets. Current school practices are described as very limited, with clear shortages in training, resources, systematic policies, legal clarity, and basic knowledge of how AI works. The authors connect these gaps to the design of future tools, curricula, and multi-stakeholder policies.

Core claim

Educators expressed concerns about both students' and their own vulnerability, as AIG-NCII may cause moral decline among students, while educators themselves could become victims. Nevertheless, existing practices in schools are limited, and they lack both training and systematic policies. Challenges such as a lack of resources, unclear legal boundaries, and limited knowledge of AI make implementation difficult.

What carries the argument

Thematic analysis of semi-structured interviews with 20 U.S. educators on attitudes, experiences, and practices regarding AIG-NCII

If this is right

  • Multi-stakeholder strategies are required to address AIG-NCII effectively in schools.
  • Interactive educational tools should be developed to meet the specific needs identified by educators.
  • Curriculum design must incorporate content on the risks and handling of AI-generated intimate imagery.
  • Policy-making needs to resolve unclear legal boundaries and resource shortages.
  • Training programs for educators on AI-related issues are necessary before systematic responses can be put in place.

Where Pith is reading between the lines

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

  • The identified gaps suggest that teacher preparation programs could add modules on AI consent and image misuse.
  • Similar vulnerabilities may exist in other settings such as universities, pointing to the value of parallel studies.
  • Clearer national or state-level legal guidelines on AI-generated intimate content could reduce the implementation barriers noted by educators.
  • The findings could guide the testing of specific policy interventions in pilot schools to measure changes in preparedness.

Load-bearing premise

The attitudes and reported experiences of these twenty educators accurately capture the situation across most U.S. schools.

What would settle it

A large-scale survey of educators in varied school districts that finds widespread existing training programs and formal policies on AIG-NCII would directly challenge the reported gaps.

read the original abstract

AI-generated non-consensual intimate imagery (AIG-NCII) is an emerging social problem due to the advancement of AI tools. While recent incidents in middle and high schools have highlighted the urgency of this issue, there is limited understanding of what concrete supports schools need to effectively address AIG-NCII. To fill this gap, we conducted an interview study with 20 educators in the U.S. and investigated their attitudes, experiences, and practices related to AIG-NCII. Educators expressed concerns about both students' and their own vulnerability, as AIG-NCII may cause moral decline among students, while educators themselves could become victims. Nevertheless, existing practices in schools are limited, and they lack both training and systematic policies. Challenges such as a lack of resources, unclear legal boundaries, and limited knowledge of AI make implementation difficult. The findings of this paper contribute to interactive educational tool design, curriculum design, and policy-making, especially regarding the need for multi-stakeholder strategies to address issues surrounding AIG-NCII.

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.

Referee Report

2 major / 2 minor

Summary. The paper reports results from semi-structured interviews with 20 educators in the U.S. on their perceptions of AI-generated non-consensual intimate imagery (AIG-NCII). Educators expressed concerns about moral decline among students and vulnerability for both students and educators. The study finds that school practices are limited, lacking training and systematic policies, with challenges in resources, legal boundaries, and AI knowledge. It contributes to tool design, curriculum, and policy with emphasis on multi-stakeholder strategies.

Significance. This research is significant for addressing an emerging AI ethics issue in educational contexts. The insights from educators can help in developing HCI solutions like educational tools and inform policies to handle AIG-NCII, potentially reducing harms in schools. The qualitative data provides depth on real-world challenges that can guide future research and design in human-computer interaction applied to education.

major comments (2)
  1. [Methods] Methods section: Details on recruitment, interview protocol, and data analysis method (e.g., thematic analysis steps or validation) are not supplied, preventing assessment of whether the reported themes on limited practices are robustly supported by the data.
  2. [Discussion] Discussion section: The claim that 'existing practices in schools are limited' and schools 'lack both training and systematic policies' generalizes from self-reported data of 20 participants without triangulation (e.g., policy documents or input from administrators). This is load-bearing for the prescriptive recommendations on multi-stakeholder strategies.
minor comments (2)
  1. [Abstract] Abstract: Including a brief note on the qualitative analysis approach would strengthen the overview of how themes were derived.
  2. [Introduction] Introduction: The acronym AIG-NCII should be defined on first use to improve accessibility for readers new to the topic.

Simulated Author's Rebuttal

2 responses · 0 unresolved

Thank you for the opportunity to respond to the referee's comments. We appreciate the detailed feedback and have addressed each point below, planning revisions where appropriate to improve the manuscript.

read point-by-point responses

  1. Referee: [Methods] Methods section: Details on recruitment, interview protocol, and data analysis method (e.g., thematic analysis steps or validation) are not supplied, preventing assessment of whether the reported themes on limited practices are robustly supported by the data.

    Authors: We agree with the referee that additional details on the methods are necessary for transparency and to allow readers to evaluate the robustness of the themes. In the revised version, we will expand the Methods section to describe the recruitment process (e.g., how participants were identified and selected through educator networks and professional organizations), provide the full interview protocol including key questions asked, and detail the data analysis procedure, including the steps of thematic analysis (following established guidelines such as those by Braun and Clarke), coding process, and any measures for validation like member checking or peer debriefing. This will directly address the concern about assessing support for the reported themes. revision: yes

  2. Referee: [Discussion] Discussion section: The claim that 'existing practices in schools are limited' and schools 'lack both training and systematic policies' generalizes from self-reported data of 20 participants without triangulation (e.g., policy documents or input from administrators). This is load-bearing for the prescriptive recommendations on multi-stakeholder strategies.

    Authors: The referee correctly notes that our findings on school practices are derived from educators' self-reported experiences in semi-structured interviews. As a qualitative study exploring perceptions, this approach is standard and provides valuable insights into real-world challenges. However, we recognize the value of triangulation for strengthening claims. In the revision, we will add a dedicated Limitations subsection in the Discussion that explicitly acknowledges the reliance on self-reported data from a sample of 20 educators and the absence of triangulation with policy documents or administrator perspectives. We will qualify the statements about limited practices as reflecting educators' perceptions and frame the multi-stakeholder strategy recommendations as informed directions for future research and design rather than definitive policy prescriptions. This maintains the contribution while addressing the generalization concern. revision: partial

Circularity Check

0 steps flagged

No circularity in qualitative interview reporting

full rationale

This is a qualitative interview study whose central claims consist of direct thematic summaries of statements from 20 participants. No equations, fitted parameters, statistical predictions, or self-citation chains appear in the provided text. The reported attitudes, experiences, and practices are presented as outcomes of the interviews themselves rather than as quantities derived from prior results by the authors; therefore none of the enumerated circularity patterns (self-definitional, fitted-input-called-prediction, self-citation load-bearing, etc.) are instantiated. Generalization from the sample to broader school practices is a separate validity concern, not a reduction of the derivation to its own inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a qualitative interview study with no mathematical models, fitted parameters, background axioms, or postulated entities.

pith-pipeline@v0.9.0 · 5491 in / 1054 out tokens · 45519 ms · 2026-05-10T20:03:40.778345+00:00 · methodology

discussion (0)

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