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AI is evolving rapidly, and so is the language we use to describe the technologies. For HR professionals, staying updated on the latest terms is essential as they often impact recruitment, employee engagement, and the future of the workplace. Here is an overview of the most important AI terms from 2024 and the ones emerging in 2025.

2024: AI Terms That Became Part of the HR Vocabulary

  • Generative AI
    AI models like ChatGPT that can generate text, images, audio, or videos based on user input. In HR, it is used for job postings, chatbot communication, and onboarding processes.
  • AI Copilot
    Tools like Microsoft Copilot assist HR professionals with analysis, task automation, and enhanced documentation in HR processes.
  • People Analytics 2.0
    Advanced analytics that combine AI and big data to predict employee needs, engagement, and retention. It is used to make more strategic decisions.
  • Prompt Engineering
    Developing specific instructions (prompts) for AI to optimize output. A sought-after skill when HR uses AI to create job descriptions or for internal communication.
  • AI Policy Frameworks
    Policies outlining ethical guidelines and frameworks for using AI in HR. The EU’s AI Act is an example that was widely discussed in 2024.
  • Talent Mapping with AI
    Using AI to identify potential talents across internal and external databases. Popular among companies prioritizing the future-proofing of critical roles.

2025: AI Terms You Need to Know Now

  • Explainable AI (XAI)
    AI systems that can explain their decisions and outputs in an understandable format. Relevance for HR is growing as transparency becomes a key factor in recruitment and performance analyses.
  • AI Agents
    Autonomous entities capable of performing complex tasks without constant supervision. For HR, they can be used for onboarding programs or 24/7 employee support.
  • Skill Ontologies
    AI-driven tools that create advanced mappings of skills across roles and industries. This is especially useful for identifying and developing internal talent.
  • Hyperautomation
    Expanding automation using AI, machine learning, and RPA (Robotic Process Automation). For HR, this means integrating tools to reduce manual work across the employee lifecycle.
  • AI Ethics Audits
    Processes for regularly evaluating an AI system to ensure fair and ethical behavior. This becomes critical, especially when AI is used for recruitment and talent assessment.
  • Data Clean Rooms
    Secure platforms where companies can share sensitive HR data with AI systems without revealing personal information. This helps protect privacy and ensure GDPR compliance.
  • Digital Twins in HR
    Virtual models of employees or teams used to simulate, analyze, and predict behavior or performance.

 

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