電腦審計與安全 in-class presentation
News digest —
Students digest and present recent news in computer audit and security. Each week one student selects a topic of his/her interest from the following web sites and prepare for a 20-minute presentation. Each student doing the presentation should prepare relevant material for peer students' perusal.
— Illustrative Risks to the Public in the Use of Computer Systems and Related Technology (Risks-illustrative.pdf)
Selected article presentation —
* Each article is to be presented by one group of students.
* Each presentation takes approximately 40~50 minutes (25 slides), including questions and discussions.
* We will conduct four group presentations each week on June 7th and 14th, 2023.
Using machine learning to detect misstatements, Review of Accounting Studies, 26: 468–519, 2021.
Improving Tax Audit Efficiency Using Machine Learning: The Role of Taxpayer’s Network Data in Fraud Detection. Applied Artificial Intelligence, 2022.
Is artificial intelligence improving the audit process? Review of Accounting Studies, 27: 938-985, 2022.
Applying Deep Learning to Audit Procedures: An Illustrative Framework. ACCOUNTING HORIZONS, 33(3): 89-109, 2019.
Intelligent Process Automation in Audit, JOURNAL OF EMERGING TECHNOLOGIES IN ACCOUNTING, 16(2): 69-88, 2019.
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020.
Regulating ChatGPT and other Large Generative AI Models. Working Paper, 2023.
Detection of Anomalies in Large-Scale Accounting Data using Deep Autoencoder Networks, arXiv:1709.05254 (2017).
Autoencoder Neural Networks versus External Auditors: Detecting Unusual Journal Entries in Financial Statement Audits, In Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020.
* Besides presenting your paper, you will also need to write a report that describes what's in the paper you read. You will need to read another related paper and also describe its content and comment on that paper. Turn in your report by 5pm, June 21, 2023.