Sharon Chou discusses her background in physics and engineering, including her research in material design and quantum physics. She explains the basics of circuits and quantum computing, highlighting the differences between traditional computing and quantum computing. The conversation also delves into the ethics and risks of artificial intelligence, particularly in relation to bias and decision-making. Sharon emphasizes the importance of transparency and data curation in AI models. The conversation concludes with a discussion on the application of AI in mortgage and loan decisions, considering fairness and ethical considerations. The conversation explores various topics related to hiring and decision-making in business. It discusses the correlation between higher education and earnings, as well as the challenges of being blind to race and gender in the hiring process. The conversation also delves into the ethical dilemmas of ignoring correlations and the importance of simplifying the hiring process. It highlights the need to focus on skill-based factors in hiring and the tricky nature of job descriptions. The application of AI in the hiring process and the role of emotion in decision-making are also explored. Overall, the conversation emphasizes the importance of applying the scientific method to solve business problems and being skeptical of information sources.