Discussion Board

Because I have not experienced or observed any dilemmas caused by AI in teaching/learning, let me analyze the example:

What ethical or integrity issue is involved:

The student is cheating by using the AI to rewrite the essay, which also involves plagiarism because he/she directly refer to others' work without self-efforts.

What actions or decisions would be appropriate:

I think the soft solution is to allow the student to do this work again on his/her own, with a degration of grade. For a tough solution, the student should be failed in this course.

How could similar issues be prevented in the future?

Set up the detection of the AI rate and the similar rate, the teacher should check these metrics before publishing the work.

Digital ethic is definitely a important topic and interesting topic in nowadays life. As we students, we need to handle with mountains of course work or some research work everyday. Thus, with the help of ai we do reduce lots of stress from these unavoidable work so that we can spend some time on what we really interesting in or something more need to do. But as for these "ai Work", are there really responsible for the teacher or are there really helpful to our study? For example, during my bachelor learning, we most physics undergraduate students dont have much masetered knoledge of coding but we need coding to help us dealing with experiment data and simulation. At this time, ai do help us a lot for it. Perhaps in this moment we have some ethic problem in dealing data with ai but it is not the key problem to the things we do since we didnt create data from ai and we just use ai to help us properly and it do increase the efficiency of our work. However, it may make us lazy to increase the skill in coding. The best way is we can use ai to help us master the skill of coding about analysis the data. Also during the learning, we may come up with much ideas for our experiment. 

Back in my bachelor's thesis, I thought of using AI to generate the introduction part for me. I had a dilemma of whether I should paraphrase the whole generated paragraph or copy a part of the passage and sandwich it with some of my own words. I was not sure if sandwiching the AI-generated passage shows that I did not acknowledge the use of AI. Eventually, I took no chances; I only used the ideas shown by AI and explained them using only my own words. 

Case: A student used AI to rewrite an essay but did not acknowlege it. 

1. The core ethical issue is about academic honesty and fairness problem. Student's essay did not present and represent their work which borrow someone ideas. 

2. The decision would give fail or zero to the essay since student should recieve a warning on the assignment which to educate them and direct student to use correct way to do homework and remember to ackowlege if using the helps of AI.

3. To prevent future issues, the institution must provide clearer guidelines on AI use, explicitly classifying unacknowledged paraphrasing as plagiarism. Adding workshop activities on digital literacy and ethical AI use into the curriculum is essential. 

Case: when writing the dissertation, a student's paper was flagged as “high AI use".

Issue: Possible undisclosed AI assistance during the dissertation writing. But AI detectors can be wrong, so due process and fairness matter.

Actions: Meet the student, explain the flag, and request process evidence (outline, drafts with timestamps/version history, notes, sources). If AI was used, require an AI-use statement (tool, prompts, what was kept/changed, how accuracy was checked). Add a brief oral check or timed in-class writing to verify competence. Allow revise/resubmit per policy; document everything and escalate only with corroborating evidence.

Prevention: Publish a clear AI policy (Allowed / Allowed with disclosure / Not allowed + examples). Use staged assignments with process artifacts (drafts, prompt logs, reflections) and at least one AI-free checkpoint. Teach citation, paraphrasing, and responsible AI. Coordinate deadlines and offer support to reduce pressure that drives misconduct.

I have observed a case of misuse of student work by a teacher, where the teacher used student research work for a course to further her own research agendas without consent. 

This involves the ethical issue of plagiarism and informed consent. The student was not given an opportunity to agree with the particular usage of their data, or even acknowledged for their contribution. This lack of transparency undermines ethical research standards. 

The teacher should have asked for explicit consent from the student to uphold integrity. There should have been clear communication about how the data would be handled and credit given. 

Teachers should undergo mandatory ethics training periodically to be aware. Also, consent forms and board approval should be made mandatory before the submission of any new research work, to include all contributors to the research. 

Digital ethics and integrity emphasis on the fairness, honesty, responsibility and acknowledgement of the ideas taken from other's work. I have observed the violation of digital ethics from one of my colleague who used AI tools to write down some parts of his final year thesis. He has generated some graphs, images about the background of his research field and used as it in his thesis without acknowledgement of AI tools. After submission to the university and results from the blind reviews, he passed his thesis and got excellent grades. So, the appropriate actions should be taken such as usage of data detection tools to find out whether the data has been generated from AI tools and how much similarity to the previous work has been found. Also, the practical representation of the data in terms of experimental results, data analysis should be demonstrated by students.     

In this AI era, students using AI to rewrite an essay seem to be very common. Actually, to a certain extent, AI could really help us a lot when we are working on an essay.  The issue in this case is that the student didn't acknowledge the usage, which means the student presented the work as his or her own effort. The appropriate way could be with the aid of AI to brainstorm some of the ideas and write them in his or her own words. To prevent similar issues in the future, teachers could give clearer and detailed guidelines for students to use the AI tool.

The ethical dilemma I observed involves an English class where the teacher used an AI system exclusively to grade pre-class presentations. This resulted in universally low and overly simplistic scores. The core ethical issue is assessment fairness and transparency. The AI graded mechanically based solely on the pronunciation of individual words, completely ignoring critical factors like a student's poise, content logic, body language, and overall fluency. This constitutes an irresponsible and unfair assessment method.

An appropriate action would be for the teacher to communicate the limitations of AI grading to the students and re-evaluate the scores. A more responsible approach would be an "AI-assisted, teacher-led" model, where the AI provides data on basics like pronunciation, but the teacher makes the final, holistic judgment.

To prevent this, schools should establish clear guidelines defining AI's role as an aid in assessment, not the authority. Teachers should be encouraged to design rubrics that include process evaluation and multiple criteria to ensure assessments accurately reflect students' comprehensive abilities.

I remember that a professor from a mainland university downloaded one published English academic paper from internet, and translate the whole paper into Chinese, and then republished that in a Chinese academic journal, without acquiring the consent from the author. This is absolutely plagiarism as he directly used other's ideas and other' words for his own academic achievement. If he really values this paper as good, then he must cite that he is translating, rather than writing something new and of himself. A cross-language and cross-region academic checking system is necessary for preventing the occurrence of the similar cases.