In this first installment of Blue J Predicts on Tax Notes for 2022, we take stock of this column’s inaugural year of 2021. We review our predictions from the past year and reflect on the state of the technology of tax prediction. In our 2021 articles, we applied machine learning (ML) algorithms to analyze the likely outcomes of pending or recently decided federal income tax cases on an assortment of tax issues. Over the past year, our columns have addressed cases on topics such as:
Each installment of our column discussed various predictions on the outcome of a case and the insights that our algorithms were able to generate on the relevant tax issues by leveraging ML.
In this article, we reflect on the predictions we made over the past year and provide general observations about how tax practitioners are beginning to learn how to leverage the insights of ML to “crack the code.” We also examine how practitioners use ML to quantify risks for their clients and ensure that tax advice can properly withstand scrutiny from the IRS and the courts. The goal is to guide tax experts in their tax planning and to help them devise the most effective ways to resolve tax disputes, leveraging new tools and technologies.
We begin with a background on artificial intelligence (AI) and discuss what exactly machine learning is. We then walk through how reliable machine learning models are specifically built for tax and highlight the 4 real-world advantages of using machine learning in a tax practice today:
To read the complete article, follow the link below.
Sign up for the Blue J newsletter today.
Whether you have questions or are interested in booking a demo, we would love to hear from you.