Combining my knowledge acquired during my undergraduate and graduate studies, my research will delve into the ethical and moral implications of artificial intelligence (AI) applications in taxation across different age groups. Firstly, my undergraduate studies in taxation have equipped me with a deep understanding of tax systems and relevant policies, enabling me to analyze the specific applications and potential impacts of AI technology in taxation from a tax perspective. Secondly, my graduate studies in data ethics and AI have provided me with frameworks and methodologies for ethical analysis, allowing me to investigate the moral implications of AI applications in taxation on individuals of varying age groups.
Throughout the process of writing my paper, I will integrate research skills and advanced knowledge gained from both undergraduate and graduate studies. I will employ both quantitative and qualitative research methods, including data analysis, surveys, and literature reviews, to explore in depth the ethical implications of AI applications in taxation across different age demographics. Additionally, I plan to utilize data visualization tools learned during my graduate studies, such as Tableau or Python, to present the analysis of AI applications in taxation. Through data visualization, I aim to provide intuitive representations of research findings, enhancing readers’ understanding and awareness of ethical issues surrounding AI in taxation.
