Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents

Fuente: arXiv
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Auteurs principaux: Sun, Guangzhi, Zhan, Xiao, Such, Jose
Format: Preprint
Publié: 2024
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author Sun, Guangzhi
Zhan, Xiao
Such, Jose
author_facet Sun, Guangzhi
Zhan, Xiao
Such, Jose
contents The incorporation of Large Language Models (LLMs) such as the GPT series into diverse sectors including healthcare, education, and finance marks a significant evolution in the field of artificial intelligence (AI). The increasing demand for personalised applications motivated the design of conversational agents (CAs) to possess distinct personas. This paper commences by examining the rationale and implications of imbuing CAs with unique personas, smoothly transitioning into a broader discussion of the personalisation and anthropomorphism of CAs based on LLMs in the LLM era. We delve into the specific applications where the implementation of a persona is not just beneficial but critical for LLM-based CAs. The paper underscores the necessity of a nuanced approach to persona integration, highlighting the potential challenges and ethical dilemmas that may arise. Attention is directed towards the importance of maintaining persona consistency, establishing robust evaluation mechanisms, and ensuring that the persona attributes are effectively complemented by domain-specific knowledge.
format Preprint
id arxiv_https___arxiv_org_abs_2407_11977
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents
Sun, Guangzhi
Zhan, Xiao
Such, Jose
Human-Computer Interaction
Artificial Intelligence
Computers and Society
The incorporation of Large Language Models (LLMs) such as the GPT series into diverse sectors including healthcare, education, and finance marks a significant evolution in the field of artificial intelligence (AI). The increasing demand for personalised applications motivated the design of conversational agents (CAs) to possess distinct personas. This paper commences by examining the rationale and implications of imbuing CAs with unique personas, smoothly transitioning into a broader discussion of the personalisation and anthropomorphism of CAs based on LLMs in the LLM era. We delve into the specific applications where the implementation of a persona is not just beneficial but critical for LLM-based CAs. The paper underscores the necessity of a nuanced approach to persona integration, highlighting the potential challenges and ethical dilemmas that may arise. Attention is directed towards the importance of maintaining persona consistency, establishing robust evaluation mechanisms, and ensuring that the persona attributes are effectively complemented by domain-specific knowledge.
title Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents
topic Human-Computer Interaction
Artificial Intelligence
Computers and Society
url https://arxiv.org/abs/2407.11977