Post 7: Extra Credit

For this extra credit prompt, I read Alfredo Deambrosis article titled “The 8 Ethical Concerns Raised by AI Images and Video.” We all know Artificial Intelligence (AI) as a cool tool that’s used to enhance our brains with thinking and learning, or so we think. A big issue with AI imaging and video creation is training. Important internet figures like athletes and celebrities, often find random videos or images of themselves online that are made by AI, and do not reflect good upon them. These AI systems learn from these images online, spreading or making them in the wrong way for people to see. This also reflects upon privacy, which is a big topic of our class and this article. It seems as if AI is violating these rules of privacy.

My future job is something I’ve wanted to revolve around sports media or broadcasting. Photography is a large part of the media aspect, as many sports organizations have their own photographers who bring in tons of money each year for the team. With AI now being able to generate images faster and more efficiently, maybe the sports world could soon move away from hiring professional photographers/videographers. This could put people in this field out of a job, and they are left trying to find something else to do. This goes back to when the article and our class refer to AI being unethical, because they may be putting many jobs at risk in the future.

Many users see things online and instantly believe them without knowing the true backstory. Artificial intelligence can publish fake or biased videos/pictures, which is scary. This makes AI unethical, and it can cause people to believe false propaganda that is only up for clicks and views. I hope some rules and regulations will follow in behind this, and that hopefully more serious laws about artificial intelligence publishing fake content become more intense. Overall, I believe there are many unethical features while using AI, I’m sure someone could name at least five off the top of their head. The future is hard to predict, and AI will only continue to get smarter and smarter, which is troubling to consider.

Cite: Imgix. “8 Ethical Concerns Raised by AI Images and Video.” Imgix Blog, https://www.imgix.com/blog/8-ethical-concerns-raised-by-ai-images-and-video. Accessed 30 Apr. 2026.

Post 6: Using AI Professionally or Personally

I plan to use AI going forward in my future, and I don’t think I have much of a choice over this. I’ve always hoped for my career to be something revolving around sports analytics or sports journalism/broadcasting. In those fields, it is required for AI to be used to facilitate things like percentages, box scores, charts, and even more stats. Some people would not be okay with this, but it is something I think is very cool and shows ways that sports features can be highlighted in different formats for the better. I believe this brings an exciting new feature to the world of sports. In 2024, The International Olympic Committee (IOC) became the first organization to imbed artificial intelligence into sports. The reason being was the IOC believed that AI officials could find prospective talented athletes while implementing proper training programs for them. The IOC also believed that to make the Olympic games fairer from a judge standpoint, they would have artificial intelligence assist with this process. IOC President Thomas Bach said, “We are determined to exploit the vast potential of AI in a responsible way.” This highlights the efforts of the company using AI in an ethical matter. We should be paying close attention to a topic like this because in the world of sports, nearly 82 percent of leagues/companies use artificial intelligence nowadays. This resembles extreme growth and these organizations have done a tremendous job using artificial intelligence in a responsible and ethical matter. In my opinion, this percentage is only going to continue to grow.  This is exciting, fun, creative, and uniquely shows the ways that AI can benefit jobs in sports media or analytics. The good thing is that AI is not going to take over jobs, and many employees are not at risk of having their jobs taken with AI during this shift. So, I conclude with thinking that AI is very beneficial to the sports world of analytics and data. It will be exciting to see how far it goes.  

“IOC Unveils Plans For Using Artificial Intelligence In Sports” – https://www.espn.com/olympics/story/_/id/39973988/olympic-organizers-unveil-plans-using-artificial-intelligence

“Sports industry AI adoption rises to 82% amid tangible financial and sporting results” – https://www.sportspro.com/news/sports-tech-report-ai-sportradar-february-2026/

Charlie Scoggin – Post 5 Academic AI

Question – What do you think of AI companies’ approach to user data – do you have any concerns, now or for the future?

The usage of AI and the popularity surrounding the topic of artificial intelligence itself is truly mind boggling. To think that a robot can be so powerful while influencing decisions and answers is scary, and we must draw the line somewhere. For brainstorming purposes, think of it this way, if we have access to the internet, the internet has access to us. “The difference is the scale: AI systems are so data-hungry and intransparent that we have even less control over what information about us is collected, what it is used for, and how we might correct or remove such personal information,” said Stanford Universities AI Privacy Article. With that said, I think it is absolutely neccescary for concerns to be raised. Security and privacy are two big problems when using AI, which is why it is so important to take precautionary steps while engaging. It’s concerning to think that AI has access to all of our personal information, even if it may be a bit inaccurate, they still may know some details. Countries like Serbia and Austria are in progress of establishing artificial intelligence laws that protect humans and their personal data, but it seems that some nations aren’t taking notice to the severity. So in the future, this is something to keep an eye on as it is a bit concerning.

Works Cited: King, J., & Meinhardt, C. (2024, March 18). Privacy in an AI era: How do we protect our personal information? Stanford Institute for Human-Centered Artificial Intelligence. Read article

Creativity In AI

In class on Tuesday, my group researched Serbia and its connections with AI while carefully examining what artificial intelligence is like in foreign countries. During class, we put a lot of emphasis on creativity and what it’s defined as. With Ai, it’s a hard topic to cover, everyone’s definition is different. After researching and reading Arriagada and Ais role in creativity, we came upon the definition of “Peoples generalized perception of creativity often involves the idea of inspiration, a mysterious muse that comes to the creators aid, an insightful burst of imagination.” After this and our class discussion on creativity, we were tasked to be experimenting with an LLM. We told our AI machine to write a poem like Shakespeare would, then had the class guess which one was human and which one was AI. Obviously, this is very difficult as some cannot tell the differences in what AI is human or if it isn’t. The poem our LLM came up with was a built off, more enhanced version of an older poem written by Shakespeare.

Example: Good morrow, sun, thou golden ball so bright,​

That peeks above the hills with merry cheer;​

I greet thee now with laughter and delight,​

And chase my dreams as thou dost draw me near.​

Mine wooden sword, a kingly blade I claim,​

I battle beasts no grown-up eye can see;​

A cardboard crown doth grant me noble name,​

And in my yard I rule a realm most free.​

When lessons call, I sigh yet still obey,​

For wisdom grows as seeds in fertile ground;​

Yet soon enough I’m loosed again to play,​

Where joys untold in simple things are found.​

So let me dream ‘fore sleep doth close mine eyes,​

A child today, tomorrow wondrous wise.​

Other Example: Let me not to the marriage of true minds​

Admit impediments; love is not love​

Which alters when it alteration finds,​

Or bends with the remover to remove:​

O, no, it is an ever-fixèd mark,​

That looks on tempests and is never shaken;​

It is the star to every wand’ring bark,​

Whose worth’s unknown, although his heighth be taken.​

Love’s not Time’s fool, though rosy lips and cheeks​

Within his bending sickle’s compass come;​

Love alters not with his brief hours and weeks,​

But bears it out even to the edge of doom.​

If this be error and upon me proved,​

I never writ, nor no man ever loved.​

These models demonstrated creativity by forming and building off human work in how creativity is defined by researchers. I believe the models are creative because the whole point of Ai itself is to be creative. Being a creative individual means that I use Ai in a way to broaden the spectrum of work. I like to use it to bring ideas to my mind along with letting it show what needs to get done. This is important, as AI allows for creativity at the hands of anything. Ask it any question, and it will deliver a very creative answer. I don’t see any risks to this in the form of a work context; all I find are benefits. The only risk I can think of is when ChatGPT does not properly upload correct information, instead keeping bias within answers. Overall, I think creativity is a fine definition for AI and solves what’s trying to get done pretty well.

Sources: OpenAI. (n.d.). ChatGPT. Retrieved April 9, 2026, from https://chatgpt.com/

Post 3: Writing with AI

I took a digital content creation class last semester and learned how to use AI a bit more effectively and efficiently while avoiding bias. The best way to use AI in a better prompting format is to be specific while using connections so the machine understands it better. For example, in our readings, it is frequently mentioned how bias impacts results. On the internet, there are many biased cites and sources full of news that is inaccurate, and AI platforms gain information from these biased cites. This means that nearly every form of information a user finds could be inaccurate, which is why it’s very important to be proper when wording questions and statements to the machine.

After working in groups we used Ai Gemini, a more enhanced version of AI that is most similar to generate greater portions of information distributed. The people in my group were from Ohio, so we decided to ask about the brown’s history as a football franchise. We found that AI also had bias in the information it provided to us. For example, it said that the browns had the most championships, when they did not because the NFL was formed after their main franchise was established. During these findings we discovered that this AI platform was getting information from bleacher report which is often very reliable and made it more confusing. I later looked at the source, and it had correct factual information, it was just incorrect with how Gemini portrayed it.

This is proof that AI frequently hallucinates, and it isn’t completely accurate all the time. We discussed this in class on Tuesday with our readings on how AI hallucinates and why it does it. This can come from things like bias, misinformation, and inaccurate data. It is important that we noted how AI is bad with numbers as well, this being a prime example of it.

What Gemini Said:

The history of the Cleveland Browns is a unique saga in American sports, defined by early absolute dominance, a heartbreaking mid-1990s relocation, and a modern era of rebuilding.

Founding and Early Dominance (1946–1962)

The franchise was founded in 1946 as a charter member of the All-America Football Conference (AAFC). The team was named after its first head coach, Paul Brown, a revolutionary figure who introduced many modern football staples, such as film study, the practice squad, and the draw play.

  • AAFC Dynasty: The Browns won the league championship in all four years of the AAFC’s existence (1946–1949).
  • NFL Transition: When the team joined the NFL in 1950, they immediately silenced skeptics by winning the NFL Championship in their first season. Led by quarterback Otto Graham, they reached the title game every year from 1950 to 1955, winning three of them.
  • Integration: In 1946, Paul Brown helped break the professional football color barrier by signing Bill Willis and Marion Motley, a year before Jackie Robinson’s MLB debut.

The Jim Brown Era and Last Title (1957–1995)

After Otto Graham retired, the Browns drafted fullback Jim Brown in 1957, who is widely considered one of the greatest players in NFL history.

  • 1964 Championship: Under coach Blanton Collier, the Browns defeated the Baltimore Colts 27-0 to win the 1964 NFL Championship. This remains the franchise’s last league title.
  • The “Kardiac Kids” & Bernie Kosar: The team saw a resurgence in the late 1970s and 80s. Quarterback Brian Sipe led the “Kardiac Kids” to thrilling last-minute wins, and later, Bernie Kosar led the team to three AFC Championship games in the late 80s—all of which ended in painful losses (including “The Drive” and “The Fumble”).

Relocation and the “Deactivation” (1995–1999)

In a move that shocked the sports world, owner Art Modell announced in 1995 that he was moving the team to Baltimore.

  • The Settlement: Following intense legal battles and fan protests, a unique agreement was reached: Modell would move his personnel to Baltimore to form a “new” team (the Baltimore Ravens), but the Browns’ name, colors, and 50-year history would remain in Cleveland.
  • Hiatus: The franchise was officially “deactivated” for three seasons while a new stadium was built on the site of the old Cleveland Municipal Stadium.

The Expansion Era (1999–Present)

The Browns returned to the field in 1999 as an expansion team under owner Al Lerner.

  • Modern Struggles: Since their return, the team has struggled to find consistent success, famously enduring a 0–16 season in 2017.
  • Recent Years: The franchise has shown signs of a turnaround, reaching the playoffs in 2020 and 2023. The team is currently owned by Jimmy and Dee Haslam.

Summary of Championships

LeagueYears Won
AAFC Championships1946, 1947, 1948, 1949
NFL Championships1950, 1954, 1955, 1964

Citation: “Cleveland Browns History.” Gemini, Google, 24 May 2024,gemini.google.com/app.

During todays class, I used ChatGPT as a generative AI source, while other members of my group used NotebookLM. We made an attempt to research and discover AI hiring tools as a topic and see which sources came up to compare reliability. Group members that did not use ChatGPT found sources like “15 best AI hiring tools” and “10 Best AI hiring sources.” While using ChatGPT, I found sites that were about AI sourcing and outreach such as hireEZ and Zoho Recruit. I believe that ChatGPT is more reliable because I have used it to find me sources on topics, and I’ve used it for citations to format properly. Often, it’s easier to do because you can just copy and paste the source into the search bar and then ask it to format the source properly. I’m sure others prefer to use NotebookLM, but I’ve seen both sides and I have used what I prefer. I do not have any plans to use Ai any differently going forward, but it was brought to my attention that ChatGPT is not great for sources to find, and I have to be more careful with the usage of it while avoiding bias. This is something I’m taking into consideration moving forward heavily. If I’m being honest, I don’t think AI is headed in the right direction, I believe it’s taking over for the worse and not the better. It is taking up things like job opportunities, energy, and data. This can be a massive problem in the future. An argument from another groups findings was about the trajectory of AI and how people also think it’s getting worse. It’s scary to look at the many ways robots can project information as well as personal data.

Sources ChatGPT pulled up:

Resumly. “What AI Tools Recruiters Use for Screening: 2025 Guide.” Resumly AI, https://www.resumly.ai/blog/what-ai-tools-recruiters-use-for-screening-2025-guide. Accessed 12 Mar. 2026.

HireGen. “Top 5 AI Recruitment Tools You Should Be Using in 2025.” HireGen, https://hiregen.com/posts/top-5-ai-recruitment-tools-you-should-be-using-in-2025. Accessed 12 Mar. 2026.

Scalar. “The 10 Best AI Recruiting Tools to Supercharge Hiring in 2025.” Scalar, University of Southern California, https://scalar.usc.edu/works/the-10-bestai-recruiting-tools-to-supercharge-hiring-in2025/index. Accessed 12 Mar. 2026.