What are the barriers to adopting AI technologies in Human Resource Management: 

What is causing the slow adoption of AI in this field? Financial barriers can be blamed for the lack of wider tool implementation to assist in HR administrative tasks. Other key barriers to AI adoption include:

• Talent gap: it can be expensive and hard to find properly educated or skilled people.

• Concern over privacy: confidential HR data must be accessed securely and available only to the authorized person.

• Ongoing maintenance: as with other innovative technologies, AI requires deep learning and regular review and updates.

• Integration capabilities: data availability is limited, due to the HR trend toward SAAS (Software as a Service).

• Limited proven applications: many products and services are feasible based on proof of concept only.

However, the cost of using AI can be justified for the following human resource functions:

• Reducing the amount of time HR professionals spend on administrative tasks

• Reducing the burden of shared service centres and help desks by performing HR transactions and providing answers for routine queries

• Recruiting and retention

• Measuring return on investments

• Reducing bias in HR decision-making

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