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Assessing the Effects and Risks of Large Language Models in AI-Mediated Communication.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Assessing the Effects and Risks of Large Language Models in AI-Mediated Communication.
Author:	Jakesch, Maurice.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2022
Description:	199 p.
Notes:	Source: Dissertations Abstracts International, Volume: 84-08, Section: B.
Notes:	Advisor: Naaman, Mor.
Contained By:	Dissertations Abstracts International84-08B.
Subject:	Information science.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29400004
ISBN:	9798368460024

Assessing the Effects and Risks of Large Language Models in AI-Mediated Communication.
Jakesch, Maurice.

Assessing the Effects and Risks of Large Language Models in AI-Mediated Communication. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 199 p.

Source: Dissertations Abstracts International, Volume: 84-08, Section: B.

Thesis (Ph.D.)--Cornell University, 2022.

This item must not be sold to any third party vendors.

Large language models like GPT-3 are increasingly becoming part of human communication. Through writing suggestions, grammatical assistance, and machine translation, the models enable people to communicate more efficiently. Yet, we have a limited understanding of how integrating them into communication will change culture and society. For example, a language model that preferably generates a particular view may influence people's opinions when integrated into widely used applications. This dissertation empirically demonstrates that embedding large language models into human communication poses systemic societal risks. In a series of experiments, I show that humans cannot detect language produced by GPT-3, that using large language models in communication may undermine interpersonal trust, and that interactions with opinionated language models change users' attitudes. I introduce the concept of AI-Mediated Communication–where AI technologies modify, augment, or generate what people say–to theorize how the use of large language models in communication presents a paradigm shift from previous forms of computer-mediated communication. I conclude by discussing how my findings highlight the need to manage the risks of AI technologies like large language models in ways that are more systematic, democratic, and empirically grounded.

ISBN: 9798368460024Subjects--Topical Terms:

190425
Information science.
Subjects--Index Terms:

AI ethics

Assessing the Effects and Risks of Large Language Models in AI-Mediated Communication.
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