Ep. 232: Mfon Akpan and Scott Dell - ChatGPT & AI's Future

Dive into the fast-paced and exciting world of artificial intelligence with our podcast series! Join our expert guests, Dr. Mfon Akpan and Dr. Scott Dell, as they unravel the mysteries of AI, explore the cutting-edge developments in language models like ChatGPT, and discuss the massive impact of these technologies on industries like accounting. From the thrilling acceleration of AI adaptation to ethical concerns and security implications, this podcast explores it all. Tune in to stay at the forefront of one of the hottest topics in technology today!

Connect with our speakers:
Dr. Mfon Akpan - https://www.linkedin.com/in/drmfonakpan/

Dr. Scott Dell - https://www.linkedin.com/in/drscottcpa/
SF Magazine Article by our speakers

Full Episode Transcript:
Adam: Welcome to Count Me In. I'm your host, Adam Larson, and today we're diving deep into the world of AI. A subject that has been making waves across industries. Transforming the way we work, communicate, and think. With me are our esteemed guests; Dr. Mfon Akpan, Assistant Professor of Accounting at Methodist University. And Dr. Scott Dell, Assistant Professor of Accounting at Francis Marion University. They bring a wealth of knowledge and insights into AI's history, its current impact, and what's on the horizon.

We'll discuss everything from AI's phenomenal growth; to its applications, ethics, security concerns, and much more. So buckle up and let's embark on this fascinating journey into the digital revolution.

Adam: Mfon and Scott, thank you so much for coming on the podcast. We're really excited we're going to be talking about AI and ChatGPT, and all that comes underneath that. And we're really excited to have this because this is a very hot topic, and people are talking about it. You see articles about it every day. You see updates, you see leaders writing letters saying, "Let's stop all AI for six months." Et cetera. Maybe we could just start at a high level. What is AI? What are these chat bots? What are these things doing for us?

Scott: Amazing tool, and thank you for having us. It's a pleasure to be here and to share. I'll kick things off, Mfon, if it's all right. This artificial intelligence has been around for over 60 years. So you say, "Wait a minute, why is it so new?"

Well, what's new is the capabilities because of the computing power we now have. And the tool is amazing; it is changing life as we know it. We haven't seen the likes of this since the printing press. It's an environment that can really do things, change work, augment work, replace work, but makes things better. Your thoughts, Mfon?

Mfon: Yes, and I think some of the excitement around it is that we haven't seen this type of growth, in a platform as well. So you think about it was released, November 30th 2022. Five days, the platform got a million users. So you think about in 2010, it took Instagram two and a half months to get to a million users. So there's a lot of excitement, and then there's a lot of acceleration and speed around the platform, as well.

Scott: As a follow up to that, 100 million users mark was reached in two months. Compared to TikTok, I think, it was nine months to get that far, that fast. So it has been an amazing adaptation of the technology.

Adam: So maybe we can talk a little bit about how does it work. And, then, from there, maybe, talk about what benefits it may have for the accounting profession as a whole.

Mfon: Well, it's a language model, so it has an interface. So you're able to go to the platform, you go to the website, and you're able to ask it questions, or you can copy and paste information and ask it to do things. So from the profession side, if you're asking it to solve problems. You can ask it to solve a problem, or you can have it write an email, write a letter, it can produce content for you.

Scott: And as Mfon mentioned, it is an LLM, one of those three-letter acronyms, a large language model. But what it does is it projects words. So it looks at the previous word and it says, "Mm, what would the next logical word be?"

Which, sometimes, if you've ever played the game of telephone, as a kid, sometimes, you get to the end of that line and nothing resembles how it started out. And that sometimes happens, as well, with the ChatGPT and GPT-4 environment. Because it is projecting with probabilities, "Yep, I think this is the next word." And sometimes it's dead wrong. It's called hallucinating, it's the actual technical term.

Mfon: It does hallucinate. But what's so fascinating when you use it, it is projecting. But I guess it feels like you get the impression that it's thinking, even though it's not thinking. So you can ask it questions and it will give you answers, so there's that interaction. But it is projecting and it does, sometimes, hallucinate, or make up answers, give you false information.

Scott: And the fear I really have, in the hands of professionals, we can, probably, take a look and say, "Oh, this isn't quite right. This is illogical." But for a novice, and for newbies like our students, they will look at this and say, "The English is so good. It just flows so, logically, it must be right." And it's not, although, often enough it is right. So there's a balance.

Adam: Yes, so talking about people using it. Obviously corporations, people within corporations, within organizations, are using it. Within the accounting profession are using it, and people are having to create policies. There are new workarounds coming out there. People are saying, "Okay, you can use this, but you can use it for that."

I saw one example, where somebody put in a fake balance sheet and said, "Analyze this for me." And it gave a really interesting analysis. Then, you have to worry, "Oh, am I putting somebody's data into this thing?" And you have to worry about those things. And, so, how can this tool be used for management accounting? In the accounting space, obviously, without giving away too much personal data?

Scott: Security consciousness is we need to be there. I mean, you're hearing about the deepfakes. I just heard about a scandal in Hong Kong, a banker that sent millions of dollars, based on what so...