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Artificial Intelligence and Employee Experience: Leveraging Technology for Personalization

EasyChair Preprint no. 13219

20 pagesDate: May 7, 2024


Artificial Intelligence (AI) has revolutionized various aspects of our lives, and its impact on the workplace is no exception. In the realm of employee experience (EX), AI has the potential to enhance personalization, thereby creating a more engaging and satisfying work environment for employees. This abstract explores the concept of leveraging technology, specifically AI, for personalization in EX.


The abstract begins by defining AI and EX, emphasizing the significance of personalization in the employee journey. It highlights the role of AI in facilitating personalized experiences by analyzing employee data and enabling tailored communication, learning and development, performance management, and workforce management.


The benefits of AI in personalizing EX are discussed, including improved engagement, productivity, and decision-making, along with reduced administrative burdens. Ethical considerations and challenges surrounding AI implementation are also addressed, such as data privacy, bias, and the need for human oversight.


To illustrate the practical implications of AI in EX, case studies showcasing organizations that have successfully leveraged AI for personalization are presented. Key best practices for implementing AI in EX personalization are outlined, emphasizing the alignment with organizational goals, ethical practices, monitoring, and collaboration between stakeholders.

Keyphrases: AI, collaboration, Employee Experience (EX), Organizations, personalized

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Ayuns Luz and Godwin Olaoye},
  title = {Artificial Intelligence and Employee Experience: Leveraging Technology for Personalization},
  howpublished = {EasyChair Preprint no. 13219},

  year = {EasyChair, 2024}}
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