Icon Legend

This session is not in your schedule.

This session is in your schedule. Click again to remove it.

388 Views

The opinions shared during this program represent the views of the speakers and do not necessarily reflect those of the American Association of Law Libraries (AALL). Recording, capturing, or using AI tools to duplicate, transcribe, or otherwise reproduce an AALL program in any form is strictly prohibited without prior written consent from AALL. This includes, but is not limited to audio, video, or any other content shared. By attending an AALL program or accessing an AALL recording, you agree to adhere to this policy.

Teaching + Training

Research + Analysis

Teaching the Ethical Use of Generative AI

Monday, July 22, 2024

3:30pm – 4:30pm CDT

Room: Regency Ballroom C (West Tower Gold Level)

Coordinator/Speaker(s)

Rebecca Fordon (she/her/hers)

Reference Librarian & Adjunct Professor
The Ohio State University, Moritz Law Library
Columbus, Ohio, United States

Slides (PDF)

Speaker(s)

Becka Rich (she/her/hers)

Assistant Dean for the Law Library and Technology Services
Drexel University Thomas R. Kline School of Law, Pennsylvania, United States
Emily R. Florio (she/her/hers)

Director of Knowledge Research
DLA Piper LLP (US)
Washington, District of Columbia, United States
Jennifer L. Wondracek (she/her/hers)

Director of the Law Library, Professor of Legal Research & Writing
Capital University Law School
Columbus, Ohio, United States

Wordly Closed Captioning: https://attend.wordly.ai/join/CDDA-9697

Over the past year or so, we’ve heard endless cautionary tales about generative AI and read countless think pieces encouraging us to consider its ethics – but how can we most effectively bring these lessons to students and attorneys without discouraging them from using the technology entirely? This program will spotlight the key ethical concerns with generative AI, from hallucination to bias to copyright implications, and will present actionable strategies for teaching these concepts to students and attorneys. Participants will engage with thoughtfully designed exercises, witness practical demonstrations, and gain insights from expert discussions.

Target Audience:

Librarians who teach legal research or legal technology. Librarians who teach law students, attorneys, and self-represented litigants.

Learning Objectives:

Participants will identify and describe the key ethical concerns surrounding the use of generative AI, including but not limited to client confidentiality, accuracy, hallucinations, privacy & security, copyright, academic integrity, and bias.
Participants will explore frameworks for teaching students and attorneys to make ethical decisions when using AI tools in legal research and other applications.
Participants will evaluate sample exercises and assignments (designed to deepen students’ and attorneys’ understanding of potential ethical pitfalls and best practices) and will integrate knowledge and resources provided to design their own teaching strategies and assignments.