Challenges and Opportunities of NLP for HR Applications: A Discussion Paper
Jochen L. Leidner, Mark Stevenson

TL;DR
This paper reviews the advancements and challenges of applying NLP techniques in HR, discussing current use cases, potential applications, and associated risks to guide future research and implementation.
Contribution
It provides a comprehensive analysis of NLP applications in HR, highlighting both realized and potential use cases along with their opportunities and risks.
Findings
NLP has been increasingly used in HR for tasks like hiring and management.
There are significant opportunities for NLP to improve HR processes.
Risks include bias and privacy concerns in NLP applications.
Abstract
Over the course of the recent decade, tremendous progress has been made in the areas of machine learning and natural language processing, which opened up vast areas of potential application use cases, including hiring and human resource management. We review the use cases for text analytics in the realm of human resources/personnel management, including actually realized as well as potential but not yet implemented ones, and we analyze the opportunities and risks of these.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMulti-Agent Systems and Negotiation · Collaboration in agile enterprises · Software Engineering Techniques and Practices
