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September 23rd, 2024 · 3 min read

AI for HR: Benefits, use cases and implications

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AI for HR

AI for recruiting and hiring

  • Screening resumes: AI-powered tools can scan a large volume of resumes at once and filter the right candidates for a job.  
  • Candidate communication: AI-driven chatbots can engage with early-stage job candidates, answer questions, schedule interviews, and send personalized messages.
  • Data-driven hiring: AI can quickly parse through past hiring data, employee performance patterns, and industry trends to help recruitment teams make data-driven hiring decisions and improve the overall quality of hires.
  • Reduce hiring bias: AI might be able to circumvent human bias in recruiting practices. Tools can be programmed to focus solely on objective criteria and help reduce bias from job descriptions and the resume screening processes.

AI for talent development

Gamification 

AI-generated feedback

Personalized learning

Skills gap analysis

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Drawbacks and risks of AI in HR

  • Bias: AI does not automatically eliminate bias from hiring. People and companies remain responsible for biased decisions, even when made by machines. The American Bar Association warns that AI-driven discrimination can still lead to legal consequences.
  • Employee privacy: Generative AI often requires access to sensitive data to function effectively, particularly in areas like L&D. However, accessing this data can make employees uncomfortable—or even put them at risk—so it’s essential to handle it with transparency and caution.
  • Overreliance: AI, while a powerful tool, is not a catch-all solution and cannot replace the need for sound judgment and strategic planning. Organizations must still take responsibility for making thoughtful decisions about their workforce.

AI in HR: An addition, not a replacement

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