Artificial Intelligence in Accounting, Medicine, and Law with Potential Implications for Financial Planning: A Review of Literature
DOI:
https://doi.org/10.61190/fsr.v32i4.4017Abstract
Generative Artificial Intelligence (AI) is rapidly reshaping multiple fields. Generative AI is a type of AI that can create new content or information from scratch, rather than simply manipulating or organizing existing data. This has the potential to revolutionize the way that financial advisors interact with clients and manage their businesses. However, there are many unknowns as it relates to the level and degree of disruption that Generative AI can bring to financial planning. Therefore, this paper explores the interaction of AI with financial planning, drawing insights from the practices of accounting, medicine and law. While the primary focus remains on financial planning, this interdisciplinary approach aims to enrich understanding and examines parallels and emerging trends across diverse professional domains. Each of the four professions integrates client needs, preferences and goals into their decision-making processes.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Ella Faulhaber, Charles Chaffin

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Author(s) retain the copyright and full publishing rights without restriction.
Author(s) grant the Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial 4.0 International License that allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, for noncommercial purposes only. Reusers must acknowledge the work's authorship and initial publication in this Journal.
Noncommercial means not primarily intended for or directed towards commercial advantage or monetary compensation.
In addition, FSR grants to the UGA Libraries a worldwide, non-exclusive license to all content published by the Journal, including metadata, that is necessary to publish, transmit, and index the Journal and to preserve its content over time.