Section 1.1: The Rise of AI and Its Implications

With the rapid advancement of artificial intelligence, there has been considerable debate surrounding the possibility of AI replacing human jobs. Once thought to be a distant concern, the swift emergence of ChatGPT suggests that the time for AI to begin providing professional services may be upon us. Our aim is to evaluate how effectively ChatGPT can emulate human service across various sectors through a series of experiments.

Section 1.2: The Motivation Behind the Research

The motivation for this series stems from a critical observation: an individual’s quality of life is closely tied to their access to information, particularly in healthcare and finance. Although the internet has significantly improved access to knowledge, the vast amounts of information available can often hinder rather than help. By leveraging machine learning algorithms, ChatGPT can sift through extensive data to provide natural and conversational responses to queries. This sparked our interest in exploring ChatGPT's potential as a medical professional and financial advisor, leading to our inaugural articles: "ChatGPT: Your Next Doctor" and "ChatGPT: Your Next Financial Advisor."

Section 2.1: Methodology of the Experiments

Our approach involves creating hypothetical scenarios for ChatGPT to analyze. For instance, we may present a scenario featuring a young boy experiencing a cough or a recent graduate reevaluating her finances. After obtaining ChatGPT's initial assessment, we will ask a series of follow-up questions that mimic the interaction between a patient/client and a service provider. The dialogue will conclude once we request a final recommendation, such as a diagnosis for the boy's cough or a structured budget for the graduate. Throughout the research articles, we will document all of ChatGPT's responses to these scenarios.

The second video, "ChatGPT o1 preview + mini Wrote My PhD Code in 1 Hour*—What Took Me," delves into the practical applications of ChatGPT in academic contexts.

Section 2.2: Evaluation Metrics

ChatGPT's performance will be evaluated based on five key criteria: accuracy, completeness, clarity, relevance, and efficiency. In each test, where the correct answer is known, we will assess accuracy by comparing ChatGPT's response to the established answer. Completeness will be judged by examining whether the response includes all necessary information. Clarity will focus on the conciseness and human-like quality of the answer. For relevance, we will determine if ChatGPT’s response is tailored and direct, rather than generic. Lastly, efficiency will be measured by how promptly ChatGPT responds and whether it comprehends our instructions without requiring further prompts. After evaluating each test, we will compile an overall score to reflect ChatGPT's capabilities in its assigned role.