AI Virtual Assistants in Human Services: Empowering Customers and Caseworkers

Abstract—This paper explores the transformative role of AI virtual assistants (VAs) in human services, highlighting their potential to enhance communication, streamline processes, and improve customers’ and caseworkers' overall experience. By examining technology applications and challenges, the aim is to comprehensively understand how VAs can empower the human services industry. Keywords—AI Virtual assistant, Natural language Processing, Machine learning, Caseworker assistant, Customer assistant

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-10-10
DOI
https://doi.org/10.55041/ijsrem37870
Citations
5
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
5.66
Controls
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article

AI Virtual Assistants in Human Services: Empowering Customers and Caseworkers

5 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Digital Marketing and Social Media
5.66
article

AI Virtual Assistants in Human Services: Empowering Customers and Caseworkers

article en
5 citations

Abstract

Abstract—This paper explores the transformative role of AI virtual assistants (VAs) in human services, highlighting their potential to enhance communication, streamline processes, and improve customers’ and caseworkers' overall experience. By examining technology applications and challenges, the aim is to comprehensively understand how VAs can empower the human services industry. Keywords—AI Virtual assistant, Natural language Processing, Machine learning, Caseworker assistant, Customer assistant

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(11)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Digital Marketing and Social Media
5.66
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AI Virtual Assistants in Human Services: Empowering Customers and Caseworkers · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) | TGRS Research Map | TGRS