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Artificial Intelligence and Academic Integrity, First Edition

Authors
  • April G. Dawson 
Series / Aspen Coursebook Series
Teaching Materials
NO
Description
Table of contents

Artificial Intelligence and Academic Integrity, by April G. Dawson, is Aspen’s concise primer intended to increase student awareness of the protocols, possibilities, and ethical implications of using AI systems in their legal education studies, while also giving professors assurance that their students are informed of the same. 

AI is having a sudden and profound impact on the legal profession, as it has in virtually professions worldwide. Understanding how to leverage AI tools effectively and appropriately will give law school graduates a competitive edge among legal employers interested to hire tech-savvy young lawyers.

But AI is also having a profound impact on the legal education experience. As more and more students seek assistance from ChatGPT and similar tools for their academic work, questions arise as to what they are gaining or sacrificing in the process; and whether, or at what point, using AI in academic work falls within the bounds of academic integrity.

Such dramatic developments call for better knowledge and understanding of the ethical implications associated with using AI systems in law school. April G. Dawson explores the pros and cons of using powerful AI tools in law school while maintaining institutional standards for academic rigor and intellectual honesty in legal education—alongside students’ own values and developing sense of legal ethics.

Professors and students will benefit from:

Assurance that AIAI raises student awareness of the importance of 1) using generative AI tools like ChatGPT responsibly; and 2) understanding how academic integrity facilitates learning and prepares students to become ethically responsible in the practice of law; 3) researching and reading their school’s code of conduct, and 4) understanding the policies of individual professors with respect to the use of generative AI tools.

Reflection: Professional Identity Formation (PIF), questions that prompt students to reflect on their own experiences with generative AI—both its useful applications for learning and practice, as well as the potential for using AI in ways that violate academic integrity and undermine principles of professional responsibility.

Examples of individuals making choices and realizing the consequences of their decisions for a range of situations and ethical quandaries

Case Studies feature summaries of recent landmark cases and discussion of law and policy.

A concise overview of law-specific AI products, the tasks they perform, and the reasons for the legal profession’s measured approach to adopting them

Incisive discussion of the potential for generative AI’s to significantly mitigate, though not fully address, the nation’s access to justice crisis

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About the authors
April G. Dawson

Widely regarded as an expert on the role of technology in legal edu- cation, April Dawson is Associate Dean of Technology and Innovation and Professor of Law at North Carolina Central University School of Law, where she oversees the NCCU Technology Law & Policy Center. Dean Dawson graduated cum laude from Howard University in 1994, where she was on the editorial board of the Howard Law Journal and a member of the National Moot Court Team. After law school, Dean Dawson joined the Civil Division of the U.S. Department of Justice, where she argued cases before the United States Courts of Appeals for the Fifth, Seventh, and Ninth Circuits. In 1996, Dean Dawson served as a law clerk to the Honorable Emmet G. Sullivan of the U.S. District Court for the District of Columbia, after which she joined a Washington, D.C., law firm as a litigation associate and was a legal writing adjunct at the George Washington University School of Law. In 1999, Dean Dawson moved to North Carolina to start a private practice dedicated to representing employees in cases involving sexual harassment, discrimination, and related disputes. In 2006, she joined the faculty at NCCU and has taught a wide range of classes, including Artificial Intelligence and the Law, Legal Technology Equity and Leadership, Constitutional Law, Supreme Court Seminar, Torts, Administrative Law, and Voting Rights. Dean Dawson has been voted Professor of the Year multiple times. Dean Dawson has presented several American Association of Law Schools (AALS) webinars such as Teaching with Technology for Maximum Student Engagement, Tech Productivity Tips for Law Faculty, and The Paperless Law Prof. She has served on the ABA TECHSHOW pan- els Skills Building: Best Practices for Teaching Tech to Law Students, and Tech Forward: New Jobs for New Lawyers. Dean Dawson was the recipient of the 2021 AALS Technology, Law and Legal Education Section Award, and was a 2022 ABA Women of Legal Tech Honoree. Dean Dawson’s interest in technology can be traced back to her undergraduate degree in Computer Science from Bennett College and her work as a computer programmer prior to law school. Dean Dawson is a member of the ABA Center for Innovation Governing Council, cohost of the ABA Innovation Network Podcast, vice chair of the North Carolina Bar Association Future of Law Committee, and immediate past chair of the AALS Section on Technology, Law and Legal Education. She is also a member of the North Carolina Governor’s Task Force for Racial Equity in Criminal Justice, and vice chair of the Board of Directors for Democracy NC. Dean Dawson cohosts Legal Eagle Review radio show with her col- league, Irving Joyner, on WNCU 90.7 FM, in which weekly interviews shed light on law-related concerns for people in the local community, as well as at the state and national level.

Product Information
Edition
First Edition
Publication date
2023-08-02
Copyright Year
2023
Pages
88
Paperback
9798889066941
Connected eBook (Digital Only)
9798889066958
Subject
Legal Research , Artificial Intelligence , Academic Success
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