Artificial Intelligence

    

How Can We Utilize Natural Language Processing to Identify Bias in Job Descriptions?

Authors: Nisanth Nimashakavi

In the pursuit of creating fairer hiring practices and promoting workforce diversity, this research project explores the potential of Natural Language Processing (NLP) techniques to identify and rectify biases in job descriptions. The language used in job postings can inadvertently perpetuate biases and deter applicants from underrepresented backgrounds. Leveraging cutting-edge NLP methods, this study aims to automatically detect and address biases, fostering a more inclusive recruitment process. By examining the biases within job descriptions,organizations can attract a more diverse range of applicants and cultivate an inclusive workplace culture. Through the application of NLP, this research seeks to drive positive change in recruitment practices, ultimately contributing to a more equitable job market.

Comments: 9 Pages.

Download: PDF

Submission history

[v1] 2024-10-07 20:51:48

Unique-IP document downloads: 294 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus