“ChatGPT.” Wikipedia, 17 Feb. 2023. Wikipedia, https://en.wikipedia.org/w/index.php?title=ChatGPT&oldid=1139924984.

This is the main Wikipedia page to learn what ChatGPT is, such as its features and how it was launched. This will be helpful in the introduction of my essay on what ChatGPT is and how it was created.

Kay, Grace. “The History of ChatGPT Creator OpenAI, Which Elon Musk Helped Found before Parting Ways and Criticizing.” Business Insider, https://www.businessinsider.com/history-of-openai-company-chatgpt-elon-musk-founded-2022-12. Accessed 17 Feb. 2023.

This is a Business Insider article that gives a timeline with details on how OpenAI was founded into the creation of ChatGPT. I plan on using this source to provide a background of how ChatGPT was founded and the motives behind its creation.

Klie, Leonard. “OpenAI Introduces ChatGPT, a New Al Chatbot Model.” Customer Relationship Management: CRM, vol. 27, no. 1, Feb. 2023, pp. 10–11.

This is a scholarly article by Insight that focuses on how ChatGPT is being used today and in the future and whether we can rely on its information or not. I plan on using this to give the perspective of a scholar on how ChatGPT isn’t extremely reliable for important information.

Roose, Kevin. “Don’t Ban ChatGPT in Schools. Teach With It.” The New York Times, 12 Jan. 2023. NYTimes.com, https://www.nytimes.com/2023/01/12/technology/chatgpt-schools-teachers.html.

This is a NY Times article detailing how schools are currently reacting to ChatGPT and how it should be integrated within the school system. This is a great article to give perspective on how schools shouldn’t and can’t just ban ChatGPT which is here to stay.

Rudolph, Jürgen, et al. “ChatGPT: Bullshit Spewer or the End of Traditional Assessments in Higher Education?” Journal of Applied Learning and Teaching, vol. 6, no. 1, 1, Jan. 2023. journals.sfu.ca, https://doi.org/10.37074/jalt.2023.6.1.9.

This is a peer-reviewed academic journal that explores ChatGPT and its relevance for higher education. This is one of my favorite sources that is scholarly and provides unique perspectives which I will use when talking about how it should be integrated in school.

What Students Are Saying About ChatGPT – The New York Times. https://www.nytimes.com/2023/02/02/learning/students-chatgpt.html?searchResultPosition=3. Accessed 17 Feb. 2023.

NY Times article that contains direct quotes from students on their thoughts on ChatGPT. This is a great article that I will be using to give the perspective of what the students think of ChatGPT in comparison to the scholars and professors.

Yorio, Kara. “The ChatGPT Revolution: School Librarians Explore New AI Technology. Will It Dramatically Change Education?” School Library Journal, vol. 69, no. 2, Feb. 2023, p. 10.

This is a scholarly article where librarians discuss the implications of ChatGPT on education in the future. This journal article will be used to give yet another perspective on ChatGPT and its connection to education in the future.

 

I began the process of looking for some sort of data visualization by searching for data visualization in relation to sports, something I am really interested in. A website that immediately popped up was Tableau, which is an American software company that provides interactive data visualization services. It is one of the most popular companies within its fields and businesses use it to help portray data to clients and customers. Looking through the link I was able to find something that caught my eye which was a data visualization of all the hat-tricks (3 goals in a game) which have been scored in the World Cup history.

The data visualization being portrayed is the player who scored the goals, how many he scored, what minutes of the game the goals were scored, and versus what specific team they were scored on. I think the data does a great job of conveying the information that it is trying to give to the user as we are able to hover our mouse over each dot that tells you what specific minute the goal was scored in the game. Other aspects I enjoyed about the visualization is that the dots are bigger for players who scored more than 3 goals such as 4 or 5 goals in the game showing how big of a deal it is. Another feature is that on the right side of the visualization there is a column highlighting “Some Special Hat-Tricks” such as the oldest and youngest players to score a hat trick and many other interesting facts. The data is extremely convincing as I am able to see in-depth each data point of every goal. This piece of work would still work without visualization, but it would just be a long and complex list that would be difficult to follow and would be hard to distinguish any highlights.

I think the style of the way the data is being portrayed suits the large data set. At first it was a little confusing to distinguish what was going on, but I was soon able to figure it out. The reason it is complicated is because there are so many data points making it a crowded data visualization. The currently style allows the user to hover each specific goal and see the moment in time where it was scored. I don’t think too many other styles would work with such a large data set as something like a bar or pie chart would not be able to portray the data properly. The person who made the visualization is named Harpreet Ghuman by using Tableau and gathering the data from Wikipedia. He is currently a manger at Ernst & Young as a technology consultant and has a specific passion for data visualization.

The audience for this publication is sports fans broadly and soccer fans who are interested in historical data more specifically. The context for where it is found is on the Tableau website under the “Sports + Data Viz Gallery” section. The source for the data is actually given in the original visualization and is a link to a Wikipedia page that details all the World Cup hat tricks. Harpreet must have had to gather all the data and then manipulate it inside Tableau. There are no biases by the author as it is historical data and facts that have happened and cannot be changed. The only possible bias could be the column on the right for what he chose as a “Special Hat-Trick”. Overall, I think the author did a great job with this data visualization and could not add much more without it being too crowded and over complicated.

 

Click this link to interact with the data visualization whose image is shown below.

In our class so far many of our discussions have been centered around artificial intelligence and its effects within society today. AI is rapidly involving and immersing itself into society. Humans are having to quickly adapt as it becomes more and more advanced. A lot of our discussions have been about how AI can be harmful and what challenges we will face as it evolves. However, I think AI is the future and will help the evolution of society for good.

A possible app I would use artificial intelligence for is within the healthcare industry. The app would be able to track everything relating to your personal and mental health such as your diet, exercise, sleep, heart rate, blood levels, and so much more. The key to the app would be that it would be able to gather the data in a way without you having to input every little thing that is going on in your life. It would then provide possible solutions to areas of your life you are trying to improve or are struggling in. The algorithm and software would be extremely complex, but it would be an essential part of one’s personal health.

This application would take in a lot of data as well as personal information which people may see as an invasion of privacy. However, most phones today already track your health, diet, sleep, and many other things, it just is across several apps and you have to constantly be updating it. This app would be so simple that you could either turn it on or off and not to have to continuously check it. This application would be able to pass the algorithm audit because it has no biases. It takes in data provided by your daily life and routine and shares it strictly with you. As the app gathers more data it becomes smarter giving the user more specific things related to their personal health. My evidence is that it doesn’t treat any one person or group different than the next. The data can be trusted as it will not be shared with anyone except for the company and advertisements will not be within the app so no data will be shared to them either. The platform’s definition of success would be to improve the physical and mental health of every individual while removing the stress of numerous apps and the labor of updating them. The hope for this  application would be to have few errors which would be complex to build and it would fail for no one as long as the software is accurate. Long-term effects is that adds it gathers more data on the user it will be able to track what you did in the past and present, and see what you may be doing in the future. This is the future of personal health.

 

Our conversations so far this semester have focused a lot on Artificial Intelligence, a topic I am extremely interested in. When I first took the DCI course my first-year at Washington and Lee I was not expecting to be a Computer Science major which is what I am now. My interest in technology has been able to merge with this major seeing the way things actually operate and having to think through complex problems to find creative solutions. Currently, I am taking an Artificial Intelligence course and also an Algorithms course in the computer science department. Both courses are extremely challenging, but I have been enjoying getting to expand my knowledge in these specific areas. AI is one of the things companies are investing most of their money into and is the future of how humans will operate.

One specific area we have discussed several times is ChatGPT and its uses in society currently in the future. Specifically, I have been interested in the topic of how it integrates into school work and how courses will have to change in result to how powerful the tool is. One potential topic I’d be interested in exploring is how ChatGPT was created and what the purpose of creating it was for. Then, I would like to see how it is specifically being used at schools and how professors and institutions have had to adapt in result. The last aspect I would like to explore is what ChatGPT or any AI tool would look like integrated in the academic system. I think AI is here to stay and is something that schools and teachers will have to learn to adapt to.

Another topic I am interested in and how artificial intelligence is incorporated in it is sports. Some specific things AI is being used for in sports is wearable software to track athletes physical states ensuring their health. In addition, it could potentially be used in game to adjust tactics to give advantages to players and teams. Automated referees to eliminate the long wait times in games where human referees have to watch replays and discuss. Perhaps the topic I am most interested in sports is game simulation and its connection with sports betting. Sports betting has grown at an incredibly fast pace in recent years and works hand-in-hand with AI.