Monday, July 15, 2019
The UC-Irvine Graduate Tax Program has issued a call for presentations at its second annual UCI/Lavar Taylor Tax Symposium on Machine Intelligence and the Changing Nature of Tax Practice on February 24, 2020:
The purposes of this full-day symposium is to launch an in-depth discussion on how Artificial Intelligence (AI) is changing or is expected to change the nature of tax practice. We are interested in submissions for proposed presentations on any area related to tax and AI, including any of the relevant subfields such as machine learning, neural networks, big data analytics, natural language processing, etc. The symposium will be attended by tax industry professionals, government officials, and academic researchers. We expect about 150-200 attendees this year. Presenters of accepted submissions will be invited to present at the symposium. The Graduate Tax Program will cover the presenters’ reasonable travel and lodging expenses.
We accept submissions from:
- Tax practitioners (in law firms, accounting firms, in-house practices, and tax preparation industry);
- Entrepreneurs in relevant fields;
- Government officials, tax policymakers, and tax policy advocates;
- Academic or industry researchers.
Guidelines for submissions:
- Submission topics should be of interest to as many of the groups of potential submitters noted above. Please note the topics of interest below.
- Please submit a 400-500 word abstract of the proposed presentation (if a longer version is available you may submit it together with the abstract) to email@example.com, no later than September 23, 2019. Please include “Tax AI Symposium Submission” in the subject line. Please be sure to include the names and contact details of the presenter/s.
- We will make decisions about submissions and notify submitters by October 14, 2019.
We are particularly interested in submissions addressing the following topics (we use “AI” below as a shorthand. Submissions in all related fields are welcome):
- AI applications for assisting low-income taxpayers;
- AI applications for tax administration and enforcement;
- The use of AI by taxpayers in tax compliance, tax planning, and risk management;
- AI as a facilitator of tax avoidance and evasion;
- How can AI improve tax legislation, regulation, and the budgetary process?
- The effects of AI on tax journalism and investigative reporting.