en عمومى General پژوهشي Research <p style="text-align: justify;"><span style="font-size:14px;"><span style="font-family:Tahoma;"><span style="line-height:2;"><span style="color:black"><b>Background: </b>Generative artificial intelligence (GenAI) offers new forms of academic support but also complicates judgments about authorship, learning authenticity, fairness, and professional formation in nursing education. This study explored the ethical dilemmas experienced by nursing faculty when responding to students&rsquo; use of GenAI for academic requirements. </span><br> <span style="color:black"><b>Methods: </b>A descriptive phenomenological study was conducted with 15 nursing faculty purposively recruited from four higher education institutions in Lanao del Sur, Philippines. Semi-structured interviews were completed from March to May 2025 and analyzed using Colaizzi&rsquo;s seven-step method. Two researchers independently coded all transcripts, reconciled interpretations by consensus, and used NVivo 14 to organize the analytic record. Credibility, dependability, confirmability, and transferability were addressed through saturation, field notes, selected-participant member checking, independent coding, expert review and pilot testing of the guide, an auditable coding structure, and contextual description. </span><br> <span style="color:black"><b>Results: </b>Four themes and nine subcategories were identified: integrity versus innovation (AI as a learning scaffold and a threat to critical engagement; authenticity as evidence of learning); ambiguity of ethical boundaries (absence of shared institutional standards; ambiguous classification and procedural fairness); professional accountability and role modelling (academic integrity as preparation for professional practice; faculty responses as ethical role modelling); and the call for ethical literacy and institutional support (faculty preparedness and shared interpretation; institutional governance and common standards; ethical literacy for responsible integration). </span><br> <span style="color:black"><b>Conclusion: </b>Faculty did not describe GenAI as inherently acceptable or unacceptable; rather, ethical judgment depended on whether its use supported learning, was transparently disclosed, and was evaluated under fair institutional rules. Nursing programs should establish explicit, assessment-specific GenAI guidance, due-process procedures, and continuing ethical-AI education for faculty and students.</span></span></span></span></p> Academic integrity, Ethics, Generative artificial intelligence (GenAI), Nursing education, Nursing faculty ​​​​​​​ 0 0 http://jccnc.iums.ac.ir/browse.php?a_code=A-10-571-10&slc_lang=en&sid=1 Hamdoni Pangandaman hamdoni.pangandaman@msumain.edu.ph 100319475328460015190 100319475328460015190 Yes Mindanao State University, Main Campus, Marawi City, Philippines Norhanie Lininding norhanie.lininding@msumain.edu.ph 100319475328460015191 100319475328460015191 No Mindanao State University, Main Campus, Marawi City, Philippines Monalinda Macawadib monalinda.macawadib@msumain.edu.ph 100319475328460015192 100319475328460015192 No Mindanao State University, Main Campus, Marawi City, Philippines Sittie Ainah Mai-Alauya sittieainah.mai@msumain.edu.ph 100319475328460015193 100319475328460015193 No Mindanao State University, Main Campus, Marawi City, Philippines Norhanie Ali norhanie.ali@msumain.edu.ph 100319475328460015194 100319475328460015194 No Mindanao State University, Main Campus, Marawi City, Philippines Maslainie Aliola maslainie.aliola@msumain.edu.ph 100319475328460015195 100319475328460015195 No Mindanao State University, Main Campus, Marawi City, Philippines Paida Abdulmalik paida.abdulmalik@msumain.edu.ph 100319475328460015196 100319475328460015196 No Mindanao State University, Main Campus, Marawi City, Philippines Magna Anissa Hayudini magnaanissa.hayudini@msusulu.edu.ph 100319475328460015197 100319475328460015197 No Mindanao State University, Main Campus, Marawi City, Philippines Ananghulma Kahalan ananghulma.kahalan@msusulu.edu.ph 100319475328460015198 100319475328460015198 No Mindanao State University, Main Campus, Marawi City, Philippines Roy Albert Acosta royalber.acosta@msusulu.edu.ph 100319475328460015199 100319475328460015199 No Mindanao State University, Main Campus, Marawi City, Philippines Almirrah Abdullah almirrah.abdullah@msumain.edu.ph 100319475328460015200 100319475328460015200 No Mindanao State University, Main Campus, Marawi City, Philippines Soraya Bato-Hassan soraya.bato-hassan@msumain.edu.ph 100319475328460015201 100319475328460015201 No Mindanao State University, Main Campus, Marawi City, Philippines Princess Jehanne Dimaporo princessjehanne.dimaporo@msumain.edu.ph 100319475328460015202 100319475328460015202 No Mindanao State University, Main Campus, Marawi City, Philippines