Assessing Job Vulnerability and Employment Growth in the Era of Large Language Models (LLMs)

Author

Prudence P. Brou, The Graduate Center, City University of New YorkFollow

Date of Degree

6-2024

Document Type

Capstone Project

Degree Name

M.S.

Program

Data Analysis & Visualization

Advisor

Ellie Frymire

Subject Categories

Artificial Intelligence and Robotics

Keywords

Artificial Intelligence, Large Language Models (LLMs), Robotics

Abstract

This paper explores the impact of Large Language Models (LLMs) and artificial intelligence (AI) on white-collar occupations in the context of job vulnerability and employment growth. Utilizing the Kaggle dataset "Occupation Salary and Likelihood of Automation," the study employs a data-driven approach to analyze trends across states. Through interactive data visualization, the project aims to provide actionable insights for affected workers, businesses, and policymakers navigating the changing dynamics of the workforce amidst technological advancements.

Comments

Online component: https://prupat.github.io/interactivedataviz/Automated_Job/

Recommended Citation

Brou, Prudence P., "Assessing Job Vulnerability and Employment Growth in the Era of Large Language Models (LLMs)" (2024). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/5908