Abstract/Pitch

Audience

For this pitch, I reached out to a few people who follow sports closely: Jack Wilkos and Ian Cohen. We often talk about trades, draft picks, and team decisions, so they are a good audience for this topic. I also asked them if they would be willing to participate in my primary research by sharing their opinions about AI in sports. Because they actively follow sports and care about team decisions, they represent the type of audience my project is aimed at.

Pitch

Imagine your favorite team is about to make a huge draft pick. Normally, that decision comes from coaches, scouts, and general managers who rely on experience and instinct.

But what if the decision was made by artificial intelligence instead?

AI can analyze thousands of statistics, injury histories, and performance patterns much faster than any human. Some professional teams are already using algorithms to help evaluate talent and predict outcomes. In theory, this could make sports more efficient and lead to better decisions.

But it also raises an important question: Should AI actually be making those decisions?

My research explores the tension between data and the human side of sports. Through interviews and conversations with sports fans, I want to understand whether people would trust AI with decisions such as draft picks, trades, and player evaluations.

If you follow sports, I would love to hear your thoughts. Your responses will help me understand whether fans value pure data or whether the human element is still essential to the game's identity.

How I Sent It

I sent this pitch through text messages and group chats, asking if they would be willing to answer a few questions about AI in sports.

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