Dr. Lucas Swider uses experimental methods to examine how interaction with technology and aspects of the tax system influence the judgment and decision-making of individual taxpayers, accounting professionals, and investors.
He earned his PhD in accounting from the University of Oklahoma, where he received a prestigious dissertation completion fellowship for his research on individuals’ willingness to adopt tax advice from AI-based software versus a CPA. Among his findings were that people are willing to rely on AI-provided advice when preparing their taxes, especially when the advice minimizes their tax liability.
He is teaching Income Tax I (ACCT 5410).
Earlier in his career, he worked as a senior accountant in KPMG’s tax practice where he performed tax compliance, audit, and consulting services for clients across multiple industries and helped lead the integration of AI technologies into the tax compliance process.
In his spare time, he enjoys being outdoors, hiking, exploring new areas, trying new restaurants and spending time with his family.