AI and Human Resources

How the field is changing and what challenges Ai will bring


The use of AI in human resources is already widespread, and for good reason - hiring directly impacts business goals, and using AI to forward those goals is an obvious win.

This white paper covers:

  • The top use cases for AI in HR that are already being implemented today (including recruiting with greater precision and less bias).
  • Challenges and doubts on the path to AI for HR organizations.
  • Potential pitfalls to implementing AI processes in HR, and how to avoid them.

Get the White Paper

About the Author

Lynn Heidmann

After receiving her Bachelor of Arts in Journalism/Mass Communications and Anthropology from the University of Wisconsin-Madison in 2008, Lynn Heidmann decided to bring her passion for research and writing into the world of tech. She spent six years in the San Francisco Bay Area writing and running operations with Google and subsequently Niantic before moving to Paris to become Marketing Content Director at Dataiku. In her current role, Lynn follows and writes about technological and regulatory trends and developments in the world of data and AI.  

Connect on LinkedIn

Recommended Content

New call-to-action New call-to-action

About the White Paper

A survey at the end of 2017 of nearly 800 talent acquisition professionals by Korn Ferry found 55 percent believed AI had already changed the way their organization recruits. The majority said the changes have been positive, increasing the quality of candidates and hires.


In this white paper, dive in to:


  • What's happening already with AI in HR, including different techniques, use cases, and case studies.
  • A feature on natural language processing (NLP), one of the most promising machine learning techniques for the HR domain, to better understand how (and why) it works.
  • The doubts organizations have when implementing AI systems for HR, the potential pitfalls, and how to overcome them.
  • Next steps and recommendations for introducing AI into your HR organization.


A 2018 analysis by McKinsey estimated that 56 percent of all hire-to-retire tasks could be automated with current technologies. As AI technology advances, it will become capable of taking over even more HR functions that currently depend on employees. But that doesn’t mean AI will replace humans, even in human resources. Instead, AI is slated to empower remaining workers to dedicate more time to tasks that require a human touch.

In many smaller organizations, HR personnel have long had to dedicate substantial time to bureaucratic tasks that takes time away from the more important work of closely evaluating job applicants and considering ways to better-engage the workforce. By automating much of that work, HR leaders will be able to devote themselves to the most interesting and important parts of their jobs. 

Discover the Possibilities of AI for HR

The first step to leveraging AI in HR is to start fostering a data-driven approach and understanding of what machine learning is and how it can help - not replace - HR efforts.

Get the complete rundown of where the industry is and where it's going. 



Get the White Paper