AI in education is more relevant than ever, especially now that it’s officially being integrated into K–12 schools across the U.S. under new federal policy. On one hand, this could make learning more engaging and efficient by helping students grasp complex topics and allowing teachers to save time on repetitive tasks. But at the same time, it raises big questions: If students are using AI to do their homework and teachers are using it to grade, is anyone really learning or teaching? It feels like AI might be doing all the work.

In addition to education, another field that also struggles with the ethics of AI issue is the creative field. For people who write, make music, and create art, it honestly feels unfair that AI can generate in seconds what takes real people years of practice and emotion to master. It also brings up serious ethical concerns—like whose work is AI trying to mimic, and how do we prevent AI from reinforcing harmful biases?

I’m not saying that we shouldn’t use AI; I do use AI myself for brainstorming, editing, and automating small tasks. It saves time and helps me focus on the more meaningful parts of my work. But I try to use it responsibly, making sure I’m still the one creating, not just copying. As AI becomes a bigger part of how we learn and create, we need to stay thoughtful and set clear boundaries, so it enhances our efforts without replacing them.

.Garrison, Joey. USA Today. Trump signs executive order boosting AI in K-12 schools

AI w7.docx

Summary:

AI-generated images and videos offer creative possibilities but raise serious ethical concerns like misinformation, unfair use of artists’ work, and a loss of trust in media. To use them responsibly, there should be transparency, consent, and accountability. While AI can be helpful in areas like entertainment, it needs strict limits in sensitive areas like news and politics.

B5.doc

Short Summary

While Tu et al. see AI as a helpful writing partner, Tang et al. remind us that transparency is everything. If we’re going to use tools like ChatGPT, we need clear rules and honest disclosures—because credibility still matters.

creative.docx

This week’s experiment challenged AI to do something uniquely human: write emotionally charged break-up dialogues. I tested how different models handled both a generic couple’s fight and a more specific prompt featuring Elena and Damon from The Vampire Diaries, to see if AI could show real creativity.

DB2.docx

Instead of just asking a broad question, I learned that framing my prompt based on who I am makes the response way more helpful. Whether I was stuck at my internship or needed skincare tips for my oily, acne-prone skin, telling ChatGPT exactly what I needed (like being an 11th grader or a beauty enthusiast) helped me get answers that actually made sense. This method is super useful for anyone who wants personalized responses.

Digital Blog.docx

AI isn’t as neutral as we think. Today’s research lab showed how deeply human biases are embedded in AI systems. It made me reflect on my own experiences as a Black woman navigating spaces not built for me. If we want technology to be fair and just, we need diverse voices shaping its future.