One Person Dialogues: Concerns About LLM-Human Interactions

Potential disruptions to economic, educational, and political affairs have remained at the fore of conversations about the implications of LLMs; however, remarkably little attention has been paid to the potentially more immediate ethical, psychological, and sociological repercussions of these and similar technologies. In the following, the authors motivate a number of concerns about sustained LLM-Human interaction by contrasting these with ordinary conversational and social contexts. The foremost among these are ethical, especially potential losses of empathetic capabilities, but the authors note a number of possible related linguistic, behavioral, and cognitive consequences. This work is intended to motivate further research into these questions and concludes by offering suggestions for related empirical and theoretical analyses.

Authors

Institutions

Publication Details

Journal
Harvard Data Science Review
Published
2025-04-23
DOI
https://doi.org/10.1162/99608f92.01674a29
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

One Person Dialogues: Concerns About LLM-Human Interactions

Darren Frey, Daniel L. Weiss
Harvard Data Science Review
Natural Language Processing Techniques
article

One Person Dialogues: Concerns About LLM-Human Interactions

Darren Frey, Daniel L. Weiss
article en

Abstract

Potential disruptions to economic, educational, and political affairs have remained at the fore of conversations about the implications of LLMs; however, remarkably little attention has been paid to the potentially more immediate ethical, psychological, and sociological repercussions of these and similar technologies. In the following, the authors motivate a number of concerns about sustained LLM-Human interaction by contrasting these with ordinary conversational and social contexts. The foremost among these are ethical, especially potential losses of empathetic capabilities, but the authors note a number of possible related linguistic, behavioral, and cognitive consequences. This work is intended to motivate further research into these questions and concludes by offering suggestions for related empirical and theoretical analyses.

Harvard Data Science ReviewVol. 7(2)
Institut d'Etudes Politiques de Paris (FR), University of Cambridge (GB)
Gender equality
Openalex Percentile: Top 96%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.