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August 30, 2026North American journal of psychologyOpen Access

Convergent Parallel Mixed-Method Study of Frameworks and Consideration of Ethical AI-assisted Research Paper

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Authors

JDJuvenal DalimegARAntonio Ponciano L. RodilOur Lady of Fatima UniversityKCKimberly Ann S. CantileroOur Lady of Fatima University

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Implication

Convergent parallel mixed-methods study reveals perceived benefits and risks predict ethical concerns regarding AI writing tools across academic stakeholders, highlighting the need for governance.

Key Points

  • To evaluate the affordances, limitations, and ethical issues associated with AI-assisted academic writing and propose an institutional framework for responsible adoption.
  • Conducted a convergent parallel mixed-methods study examining ethical perceptions and challenges in AI-assisted scientific writing.
  • Sampled N=200 participants, including academic researchers, graduate students, university administrators, AI developers, and ethicists.
  • Perceived benefits and risks of AI writing software reliably predicted ethical concerns regarding transparency, bias, and authorship.
  • Demographic and stakeholder affiliations moderately influenced the nature and severity of reported ethical concerns.

Cite This Study

Dalimeg et al. (2026) studied this question.

synapsesocial.com/papers/6a93f0476c1a8fb52e79c4eehttps://doi.org/10.65696/001c.168759
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