This study revealed that a lack of human involvement in the interview process can influence candidates’ perception of the employer brand. It offers practical considerations to help employers strike the right balance between the objectivity AI offers and the level of human interaction candidates want and expect. 

To continue reading, log in or become a member

Affiliate membership offers instant access to CIPD resources without the need for assessments or study, or explore your options to become a professional member of the CIPD to demonstrate your commitment to the world of work.

  • Access to exclusive, up-to-date resources
  • Become part of a community to learn, debate and connect with other people professionals
  • Free access to a series of CIPD learning courses and a discount on the rest of our catalogue
Instant access Explore membership

Reviewed by

Hayfa Mohdzaini, Senior Policy & Practice Adviser, Technology, CIPD

Hayfa joined us in 2020. Hayfa has degrees in computer science and human resources from University of York and University of Warwick respectively.

She started her career in the private sector working in IT and then HR and has been writing for the HR community since 2012. Previously she worked for another membership organisation (UCEA) where she expanded the range of pay and workforce benchmarking data available to the higher education HR community. 

She is interested in how the people profession can contribute to good work through technology and has written several publications on our behalf, as well as judging our people management awards, speaking at conferences and exhibitions and providing commentary to the media on the subjects of people and technology.

  • Topic

    AI in the workplace

    Find CIPD resources to support people professionals to lead AI tool implementation, strategy and governance

  • Podcast

    Can AI governance drive innovation?

    AI governance doesn’t slow innovation. It creates the conditions for AI to succeed sustainably. But how can people professionals help close the gap between AI implementation and governance, and position it as an enabler rather than a blocker?

    • All Bitesize research