a: In modern society, we have to admit that AI has completely entered our world. The appearance of AI has brought many conveniences to people, such as being able to do some basic data crawling work. The disadvantage is that it is easy to form long-term or complete dependence, and more seriously, it will replace humans (future concerns… maybe 50yrs later). In contemporary society, artificial intelligence (AI) has penetrated into all walks of life, from medical care, education, finance, transportation, and is everywhere. The most concerned issues at present include: job replacement, data privacy, bias and discrimination, and AI’s ethical decision-making ability.

First, the popularity of AI is changing the traditional employment structure, especially the automation of repetitive labor may lead to the disappearance of a large number of jobs, causing unemployment problems, and further exacerbating social inequality. For example, self-service cashiers, autonomous driving and chatbots are gradually replacing human operators. For example, the hot driverless cars in the past two years have gradually replaced Uber and other travel service industries (although they have not completely replaced them). External Source: Luobo Kuaipao unmanned driving taxi service in Wuhan China https://www.sixthtone.com/news/1015767)

In addition, algorithmic bias has caused injustice in reality, such as gender or racial discrimination in AI recruitment, loan approval and other fields. The HR department may upload the establishment of existing employees to AI training to build a model, so that AI can choose according to its own model during the resume screening process. For example, if the company has more males, it may not consider female applicants, or if all existing employees graduated from the top 30 universities, they may not consider applicants from universities outside the top 100. This affects social justice and trust.

b: Integrate AI as an auxiliary tool into learning, information search, and daily decision-making and planning. In academic writing, I may use AI tools (such as ChatGPT/Deepseek) for preliminary data sorting, grammar correction (grammarly), or structural suggestions. Of course, as a student/scholar, any use of AI must provide a statement or cite AI. In daily life, I may use ChatGPT to arrange a review plan for my economics exam or a multi-tasking plan.

An example of making an exam review plan for the econ final by ChatGPT

Recently, AI (such as ChatGPT) has developed a new function to generate pictures and images. Like the application of AI in academic writing mentioned earlier, using AI to create pictures also brings many conveniences and potential ethical issues.

First of all, let’s talk about the convenience of AI generating pictures. AI can generate pictures of any style, just like generating articles. For example, I gave ChatGPT the command “Generate a picture of The Return of the Condor Heroes for me”. Such characters do not exist in daily life, and may have been described in novels. But ChatGPT can better visualize the image on the text. For example, some special effects and advertisements, Coca-Cola uses some AI for advertising, shooting, and production. AI can assist in producing some videos that are difficult to shoot on site, such as special effects transitions. In daily life, ChatGPT can also perform fine-tuning and animation of self-portraits.

However, as mentioned earlier about the copyright and plagiarism issues of AI, AI cannot guarantee originality. AI can grab online and synthesize according to the input instructions. If AI becomes more and more mature in the generation of movies and pictures, this will lead to challenges to the employment of art and film and television practitioners. Can people accept AI artworks? For example, if AI can generate a portrait like Mona Lisa, will humans accept that the painter is an expressionless AI? Will the human artistic level decline or even disappear completely in a few decades due to excessive reliance on AI art creation?

The advent of artificial intelligence has brought many conveniences to people, no matter what industry they are in. In academia, the benefits of AI are faster data processing and analysis, better positioning of required academic articles, etc. At the same time, AI brings a series of disadvantages, such as long-term use leading to a decline in students’ independent thinking ability and plagiarism and patent problems.

In academia, the word originality is very important. The invention of AI such as Chatgpt and Deepseek has brought unprecedented impact on originality. The definition of plagiarism proposed by Tang et al (2023) is not only direct word-for-word copying, but also includes indirect plagiarism such as plagiarizing ideas. Most of the texts generated by AI do not have “human” ideas, but are captured and generated through their own big data LLM model. Of course, there are countermeasures for policies. Turnitin is a widely used plagiarism and AI usage detection software in academia. Professors can place students’ papers in this software to detect potential plagiarism. With the widespread use of AI, many universities have also issued guidelines to teach students how to write with AI correctly, such as declaring the use of AI and ethically using AI for writing assistance (University of Kansas).

Sources:

Tang, A., Li, K-K., Kwok, K. O., Cao, L., Luong, S. & Tam, W. (2024). The importance of transparency: Declaring the use of generative artificial intelligence (AI) in academic writing. Journal of Nursing Scholarship, 56, 314–318. https://doi.org/10.1111/jnu.12938 15475069, 2024, 2, Downloaded from https://sigmapub

https://www.forwardpathway.com/135174 (Xuhang Education: The rise and challenges of artificial intelligence in academia. Webpage content in Chinese)

https://cte.ku.edu/ethical-use-ai-writing-assignments (University of Kansas: Using AI ethically in writing assignments)

For this weekly AI lab, we gave different prompts to open AI. I used Gemini and Deepseek to generate the poem. First of all, I just typed the basic requirement, “write a haiku about happiness,” to both AIs. Then, I added ”a haiku about an abandoned amusement park at dusk, with a twist in the last line.”

It is undeniable that AI can indeed create very creative poems like human poets and writers. However, the advantages created by AI are that it is not easy for people to empathize with some poems written in the context of ancient, modern, and even the “future world” created by AI. Arriagada and Arriagada-Bruneau (2022) mentioned that AI has unique, novel and peculiar creativity. The robust database and algorithm can combine existing poem imitation and autonomous creativity to write better poems. For example, Germini wrote “The storm that cracks the distant coast, The market’s sudden, sharp decline,
A future unforeseen, embossed.” AI uses poems to analyze the current situation of modern society, using the poems written in combination with modern society mentioned above.

Arriagada, L., & Arriagada-Bruneau, G. (2022). AI’s Role in Creative Processes: A Functionalist Approach. Odradek. Studies in Philosophy of Literature, Aesthetics, and New Media Theories, 8 (1), 77-110.

Poem generated by Germini

Poem generated by Deepseek

write a poem that involves chaos theory

Deepseek: A wingtip fractures the air—
somewhere, a monsoon drowns a city.
The pendulum knows this:
its arc, a riddle of gravity and rage,
swings wide enough to unstitch the sky.

We map the static between stars,
trace fault lines in the static of our hands.
Each fingerprint a cipher,
each heartbeat a variable
thrumming in the dark arithmetic of veins.

The mathematician whispers to the storm:
Let me parse your chaos.
Equations bloom like ink in water,
unfolding into hurricanes, into eyelashes,
into the way a match flickers
before the forest burns.

Fractals coil in the curl of a fern,
in the scream of a gull over oil-black waves.
The universe, they say, is a clock
wound by a god who loves dice.
We count the faces,
pray to the hollows between numbers—

for here, in the spin of a roulette wheel,
in the stumble of a drunkard’s walk,
the veil between chance and law
is threadbare, trembling.
All order is a ledger of accidents,
all chaos a psalm of near-misses.

Hold still.
The cosmos balances on the edge of a coin.
Heads: a supernova.
Tails: your breath, tonight,
as you sleep—
a minor turbulence,
a storm in the lungs of the world.

n today’s class, I used the chatgpt4o model to conduct an LLM class experiment. I broke the routine and used non-academic topics about sports. I asked chatgpt to be my golf coach, and I asked the chatgpt coach how to improve my technical performance on the golf course (focusing on my irons). The answer given by this “coach” was to first improve my hitting point, understand the landing distance of each iron, etc. Maybe gpt thought I was a golf novice, but in fact I am a high-level professional player. When I told the “coach” my handicap (a measure of the level of a golfer), gpt gave me a strategy for approaching the hole more aggressively instead of just asking to hit the green. In addition to technology, the “coach” shared with me how to show my level under pressure.

LLM has unique advantages in the use of AI. AI has a very powerful database in different disciplines, and has the language processing ability to organize this data (knowledge) into easy-to-understand language for users. If users can organize specific sentences for AI or other language models, these models can give very suitable feedback.

（Partial interaction record with chatgpt）

This week we mainly talked about AI ethics. The rapid development of AI has brought many conveniences to people, but people will consider ethical issues when anything appears. Generally speaking, the ethical issues caused by AI include copyright, plagiarism, bias, etc. This week’s group study learned about the risks brought by the growth of AI language models. The growth of large language models will be biased against minority languages ​​such as Dhiveli. Because the expansion of language models is mainly based on the world’s common languages, minority languages ​​have a small base of use, which leads to bias in building AI language models. The courseera website pointed out that scholars can use the intersection of modern society’s political, social, and economic issues with artificial intelligence to eliminate the bias of AI language models. The time range of Chatgpt and Deepseek’s databases is relatively short. They came out in 2023 and 2025 respectively, so the scope of the database is relatively closed. For example, if Chatgpt is instructed to “find a few peer-reviewed articles”, the GPT database is limited and sometimes it will generate completely non-existent documents. If I can create an open artificial intelligence, I will try to collect all the literature in the 20th and 21st centuries to create an AI that helps locate and summarize literature (similar to perplexity)

source: https://www.coursera.org/articles/ai-ethics