ASU Thunderbird graduate leverages degree to drive global impact

April 24, 2023

Editor's note: This story is part of a series of profiles of notable spring 2023 graduates.

Equipped with international travel experience as a young adult, Matthew Pepper knew early on that a global career was in the cards for him. Raised in the Houston suburb of Spring, Texas, Pepper had the opportunity to travel with his family around the world. Matthew Pepper After graduating this spring, Matthew Pepper will continue his education at Thunderbird through the accelerated master’s degree program – and he hopes to leverage the knowledge and network built from his degree to start his own private equity firm after he obtains his master’s degree in 2024. Download Full Image

These experiences delving into other cultures heavily influenced his decision to enroll in a Bachelor of Global Management program at Thunderbird School of Global Management at Arizona State University. 

“I knew that I wanted to incorporate the global ecosystem in whatever work I do,” the Mississippi-born graduate said. “And at Thunderbird, you are exposed to an incredible level of diversity and experience found nowhere else.”

After graduating this spring, Pepper will continue his education at Thunderbird through the accelerated master’s degree program – and he hopes to leverage the knowledge and network built from his degree to start his own private equity firm after he obtains his master’s degree in 2024.

As his four years in the undergraduate program come to a close, Pepper reflects on all that he has learned – and all that he continues to gain – from his education.

“My experience at Thunderbird has been one of constant learning — be it from my classmates and their myriad of viewpoints, experiences and cultures, or the professors who bring just as much diversity," Pepper said. “Moreover, everyone is friendly and pursues the same quest to understand others, so facilitating discussion and learning from others is a constant.”

Question: If someone gave you $40 million to solve one problem on our planet, what would you tackle?

Answer: Financial literacy, especially in the U.S. where we leverage our wealth more than in other regions of the world. I think that financial literacy is key for people to manage their households and build businesses and wealth for themselves; therefore there should be some institution that serves the nation to increase its people's financial literacy. It is even more important to address the asymmetrical distribution of the financially literate and provide classes and tools for the historically undereducated. 

Q: What advice would you give to a student just starting a program at Thunderbird?

A: Keep an open mind. While the personality that Thunderbird attracts often doesn't have that problem, I would argue that as a Thunderbird you are exposed to an incredible level of diversity and experience found nowhere else. 

Q:  For what in your life do you feel most grateful?

A: I feel most grateful for the close group of supporters that have had my back and have stuck with me through my life. Additionally, I feel incredible gratitude for the life and opportunities that I have been given; I hope to continue to fill that life with even more amazing experiences and even more amazing supporters. 

Q: What motivates or inspires you?

A: Enabling the facilitation of others' dreams while playing a part in creating something new. This passion allows me to gain truly interdisciplinary experience, while also maximizing my knowledge through learning from experts and people who are passionate about their work. Additionally, playing a part in creating companies in the Fourth Industrial Revolution, I believe that we could see a productivity shift multiply greater than the Industrial Revolution, and knowing that I'm playing my part in history makes me incredibly excited.

Mary Hess

Digital Communications Manager, Thunderbird School of Global Management

ASU graduate aims to demystify AI through children's book

April 24, 2023

Editor's note: This story is part of a series of profiles of notable spring 2023 graduates.

How do we understand the story of artificial intelligence? Student Kacy Hatfield Kacy Hatfield Download Full Image

Kacy Hatfield is a student in the Herberger Institute for Design and the Arts who aims to make the story of AI accessible to all – and is doing so by writing a children’s book. Kacy is graduating this May with a degree in digital culture, and is an undergraduate researcher for the Lincoln Center for Applied Ethics.

After graduation, she will pursue a master's degree and has been invited to participate in the Machine Intelligence Group at Draper Labs

She shared more about her college journey below. 

Question: Tell us a bit about your experience at ASU and how you came to study digital culture.

Answer: I actually came to ASU as a biochemistry major; I love chemistry and math, but the career path wasn't exactly what I wanted. I then explored career and creative job opportunities where I found digital culture and in just three days I was hooked and made the switch. And there is still so much of what I love in studying AI, and I get to integrate my love for chemistry and math into that. 

I actually hadn't even heard of machine learning until spring 2021, and after my professor introduced it to us, I asked her for book recommendations. From then on, I was obsessed with AI.

Q: What inspired you to pursue undergraduate research? 

A: Well, I actually did my honors thesis shortly after I learned about AI and machine learning. I decided that I wanted to pursue it, even though I really didn’t know much about the subject, and I pitched it to several professors I wanted to work with, who all were very supportive. I defended my thesis almost exactly a year after I had first learned about machine learning, and I just had such an amazing time working on my thesis that I wanted to continue doing research. 

I then found the Lincoln Center for Applied Ethics, which had an undergraduate research opportunity on responsible AI. I met with Research Program Manager Erica O’Neil over Zoom, and I thought it would be the perfect continuation of my work. It’s amazing to keep doing research on this, not just to learn but to ultimately come away with more questions. 

Q: You're working on a really fascinating project, in which you’re developing a children’s book on AI. Can you share more on this project? 

A: The premise is an illustrated children’s book that tells the story of an algorithm named Pip — like the command in Python Programming Language — and Pip has to classify seashells on the beach. How Pip classifies them starts out in very simple terms, and as waves wash up on the shore, more advanced terminology is revealed. There’s also a character named Epoch — another term in Python — as well as a character that represents the human in the loop. All of them are placed very strategically to represent what would take place if a machine learning algorithm were to be integrated in this area. 

Image of a book cover for Your Pal, PipThe goal is to help people feel less scared about machine learning. I often see AI described as a black box; something that that people can't see into, and can't understand. But I think the test of a good machine learning algorithm – and a good programmer — is to translate that black box into something that is easily understood.

Part of the reason I love machine learning is because even if I dedicate my entire life to studying AI, I will never have a fully comprehensive grasp of it, because it's just always expanding and advancing so fast. I think that's key in why people feel uncertainty about machine learning, especially when the Hollywood narrative of AI is the humanoid robot that is going to take over. The thing is, these technologies are amoral, not immoral. 

My goal as a researcher is to start mitigating skepticism around the subject of machine learning through this book. And this starts with younger people, but the book is also meant to be used by people of all ages. 

Q: How has your time in the responsible AI research group related back to your work? 

A: I love being in this research group. It's actually my second semester; last semester I did a project on the risks and mitigations of AI-powered autonomous spacecraft, which is another one of my interests. It’s so awesome to be part of a group of people that have such different backgrounds and different approaches to AI. There are so many interdisciplinary perspectives and topics brought up in discussion. 

I think that in terms of responsible AI – and a lot of people may disagree with me on this – it is integral for a programmer to also be able to see the ethical implications of whatever they're employing into the world. There’s often the argument that we should wait five years before evaluating those possible impacts; when I am working on programming, I'm immediately thinking about how it may affect the real world and be used. 

Machine learning is like a mirror - it's going to reflect whatever we give it, and humans are not perfect. This is why I think the conversations on ethics have to go hand in hand with the research itself, and it's really interesting to see how it comes about on all different fronts.

Q: What comes next for you in your career and future?

A: That’s the age-old question, isn’t it? I always have a list of problems that I can research! This may be a nerdy confession, but I love doing research even in my free time. I hope to direct that energy into the pursuit of a master's degree and possibly even a PhD. I have also been invited to join the Machine Intelligence Group at Draper Labs in summer 2023 as an undergraduate engineer, which is a very exciting opportunity. 

The amazing thing about this field is it's always changing, and in some regard, I will always feel like a student. And because the study of AI is so new, I feel like taking the ethical and programming approach at the same time would be a lot easier to integrate than something that's already established. I hope to keep these skills as best practices in the future. 

There is a lot of skepticism around AI and machine learning, and often I hear people say that it’s too complicated or complex. Everybody has the capability to understand AI, and it's not as scary as it seems. Even though it's been tremendously skewed for entertainment, which makes it easier to vilify, there are so many benefits to using machine learning, and we can employ it in the right ways to augment our human experience and not hinder it.

Karina Fitzgerald

Communications program coordinator , Lincoln Center for Applied Ethics