Supervisor

David Gonzalez

Programme

MSc in Data Analytics

Subject

Computer Science

Abstract

This research explores the use of Natural Language Processing (NLP) techniques in assessing evaluators' written appraisals during Employee Performance Reviews (EPRs), aiming to address biases inherent in traditional methods. By integrating Responsible Artificial Intelligence (AI) and foundational Large Language Models (LLMs), the study seeks to enhance the objectivity, fairness, and ethical transparency of performance evaluations. It highlights the potential of AI systems to ensure comprehensive assessments while promoting trust, ethical standards, and employee retention.

The research also aims to advance the field of AI Ethics in practical Human Resources Management (HRM) applications, particularly through NLP-driven tools. These tools are designed to support HR professionals by creating equitable workplace environments, ensuring fair treatment, and fostering inclusivity. The study underscores its contribution to knowledge on responsible AI implementation in HR practices and inspires further developments in ethical performance evaluation systems.

Date of Award

2024

Full Publication Date

2024

Access Rights

open access

Document Type

Capstone Project

Resource Type

thesis

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