Ethical Complexities in Using GenAI: How do University Teachers and Students in Nepal Navigate them?
This study examines the ethical complexities and systemic tensions faced by university teachers and students in Nepal's education discipline regarding GenAI use, highlighting how the absence of institutional guidelines creates confusion over authorship and transparency while offering insights for developing supportive national and institutional policies.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Imagine the university classroom in Nepal as a bustling construction site. For years, everyone knew the rules: if you built a wall, you had to mix the cement yourself. But suddenly, a magical, super-fast robot (GenAI) arrived that could mix cement and lay bricks in seconds.
The problem? The site manager (the University) hasn't written a new rulebook yet. No one knows if it's cheating to let the robot do the work, or if it's okay to just ask the robot for a few ideas.
This research paper, titled "Ethical Complexities in Using GenAI," is like a group of investigators walking through that construction site to see how the workers (students) and the foremen (teachers) are handling this new, confusing machine.
Here is what they found, broken down simply:
1. The "Who Built This?" Confusion (Authorship)
The biggest headache is figuring out who actually built the wall.
- The Student's Dilemma: Students are using the robot to write essays. But when they look at the final product, they can't tell where their own ideas end and the robot's begin. It's like eating a cake made by a robot but decorated by you; is the cake yours?
- The Result: Without clear rules, students are stuck in a "gray zone." They don't know if they need to say, "I used a robot," or if they can just claim the whole thing as their own. They are terrified of accidentally getting caught for plagiarism because they don't know what the "safe" limit is.
2. The "Silent Partner" Problem (Transparency)
Because there are no rules, everyone is keeping secrets.
- Students are using the robot but not telling their teachers. They are afraid that if they admit they used it, they'll be punished or seen as lazy.
- Teachers are also using the robot to help them grade or prepare lessons, but they aren't telling the students.
- The Metaphor: It's like a game of poker where everyone is hiding their cards. The teachers don't know if the students are playing fair, and the students don't know if the teachers are playing fair. This lack of honesty makes the whole learning environment feel shaky.
3. The Broken Compass (Lack of Guidelines)
The researchers found that the main reason for all this confusion is that the "Compass" (Institutional Guidelines) is missing.
- The Vacuum: Students are trying to navigate a storm without a map. They ask their teachers, "Is it okay to use this?" and the teachers have to shrug and say, "I don't know, there are no rules."
- The Workaround: Since there are no rules, students are making up their own. Some try to "paraphrase" (rewrite the robot's words in their own voice) hoping that makes it theirs. But they are guessing: How much do I have to change before it counts as mine? They are walking a tightrope without a safety net.
4. The "Black Box" Fear
There is also a fear about the robot itself.
- Students are worried that when they type their private thoughts into the robot, the robot might steal those ideas or use them to build things for other people. It's like handing your diary to a stranger who promises to keep it secret, but you don't know what they are actually doing with it.
5. How Are They Coping?
Since there are no official rules, the people in the study are trying to fix the problem with "DIY solutions":
- The Editors: Many students say, "I use the robot to get ideas, but then I rewrite everything myself." They are trying to humanize the robot's output.
- The Askers: Some students ask their teachers for advice. But this creates a new problem: different teachers give different answers, which just makes the students more confused.
- The Avoiders: A small group of students decided, "It's too risky. I won't use the robot at all." They are choosing to do the hard work manually just to be safe.
The Bottom Line
The paper concludes that the problem isn't that students or teachers are bad; it's that they are trying to drive a car without a steering wheel.
The researchers found that ethical complexities aren't just about people making bad choices; they are about the system being broken. Until the universities in Nepal write a clear rulebook that says exactly what is allowed and what isn't, students and teachers will remain stuck in this confusing loop of guessing, hiding, and worrying about whether they are doing the right thing.
In short: The robot is here to stay, but without a manual, everyone is just winging it, and that's making everyone nervous.
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