Pittsburgh Tax Review
Call for Papers:
AI and Teaching Taxation
Fall 2026 Special Issue
In its first issue of its 24th volume, the Pittsburgh Tax Review will publish a series of contributions examining the role of artificial intelligence (AI) in the teaching of taxation. This issue aims to explore and evaluate how AI systems are reshaping tax pedagogy, the opportunities they create for innovation, and the challenges they pose for instructors and students.
Proposals for a contribution of between 3,000 and 5,000 words are welcome from all who teach, aspire to teach, or are interested in the teaching of tax law. Potential contributions to this issue may take a variety of forms. For example, contributions may include the analysis of classroom techniques implementing AI; reflections on how AI supports or complicates preparation for teaching tax law; examinations of how best to incorporate AI into practical skills courses that aim to prepare students for tax practice; or evaluations of the benefits, risks, and equity implications of AI use in tax education. Ideas may also include discussion of regulation and policy considerations regarding the use of AI in teaching taxation. Additionally, we invite proposals that critically assess how AI is already influencing the teaching of tax and how it may redefine the field in the years ahead.
Interested individuals should send an abstract outlining the topic, substance, and estimated length (in word count) of their proposed contribution to the Pittsburgh Tax Review by email at taxrev@pitt.edu. Abstracts should be no longer than 250 words and should be submitted by April 17, 2026. Proposals will be reviewed, and invitations will be issued by May 1, 2026. Those invited to participate will be required to submit tentative drafts by June 30, 2026 (to be shared among all the contributors to the special issue) and final drafts ready for editing by the Pittsburgh Tax Review’s staff of student editors by August 24, 2026.