Artificial Intelligence

As technology continues to advance, AI has become an invaluable tool for enhancing HR processes, improving efficiency, and delivering data-driven insights. This glossary aims to familiarize you with key AI-related terms and concepts in the context of HR, providing you with a deeper understanding of the evolving landscape.

How can HR use AI?

There are many potential applications the HR function can support with AI tools. While in all cases human oversight will be required to ensure tools are functioning correctly, there is great potential for creating more efficient processes, improving service levels and delivering better performance:

• Predictive Analytics - Predictive analytics uses AI algorithms and statistical models to analyse historical and real-time data, identifying patterns and trends to predict potential future outcomes. In HR, predictive analytics can be used to forecast possible employee turnover, anticipate hiring needs, and enhance workforce planning.

• Recruitment Automation - Recruitment automation involves the use of AI-powered tools to streamline and optimize the recruitment process. AI can assist in resume screening, candidate shortlisting, and automated scheduling of interviews, reducing manual inputs and improving overall process efficiency of HR teams.

• Chatbots - Chatbots are AI-driven conversational interfaces that interact with users in natural language. In HR, chatbots can be applied to employee onboarding, used to answer frequently asked questions, and provide assistance to employees regarding policies, benefits, and HR-related inquiries.

• Employee Engagement - AI can contribute to employee engagement initiatives by assessing employee feedback, sentiment analysis, and social media data. By understanding employee sentiments and preferences, HR professionals can tailor engagement strategies, improve employee satisfaction, and foster a positive work environment.

• Performance Management - AI-powered performance management systems use data analytics to evaluate employee performance objectively. These systems generate real-time feedback, identify skill gaps, and offer development recommendations for individuals, enabling HR to make data-driven decisions regarding promotions, training, and performance improvement strategy.

• Bias Detection and Mitigation - AI algorithms can help identify and mitigate biases in HR processes, such as recruitment, performance evaluation, and promotion decisions. By reviewing historical data, AI can highlight potential biases and help HR professionals ensure fair and equitable practices are developed and implemented.

• Employee Retention - AI can aid in predicting and addressing employee attrition by monitoring various factors such as job satisfaction, compensation, performance, and employee sentiment. This information enables HR to implement targeted retention strategies, such as personalized interventions or career development opportunities, to increase employee loyalty and reduce turnover.

• Learning and Development (L&D) - AI-based L&D platforms offer personalised and adaptive learning experiences to employees. By looking at individual learning patterns and preferences, AI can recommend relevant training content, deliver microlearning modules, and track employee progress, enhancing the effectiveness of training programs.

• Workforce Analytics - Workforce analytics involves the use of AI to collate HR data, such as employee demographics, performance metrics, and engagement surveys, to gain insights into workforce trends and patterns. These insights enable HR to make informed decisions regarding talent acquisition, workforce planning, and organisational development.

• Employee Wellbeing - AI can assist in monitoring and promoting employee well-being by combining sentiment analysis, health-related survey responses and even data from wearable devices. By identifying patterns and trends, HR professionals can design interventions and policies to support employee well-being and create a balanced programme of automated and manual engagements to support individual mental, physical and financial wellbeing.

Featured Resource

Make AI Work for HR: A Step-by-Step Toolkit for Real Results

AI and automation promise major gains for HR, but many teams struggle to move from interest to action. The Ultimate AI & Automation Toolkit for HR is designed to help HR leaders cut through the noise and make confident, informed decisions about where and how to apply AI for real impact.

This practical toolkit provides a clear framework to confidently apply AI and automation across talent acquisition and management. Inside, you’ll find:

• The AI & Automation Maturity Guide for HR Leaders, which provides a framework for leveraging intelligent technology at your organisation.

• The AI & Automation Maturity Assessment, which can be used to assess your company’s current use of AI and automation and identify where to go next based on your unique business and industry needs.

Whether you’re just beginning your AI journey or looking to scale existing initiatives, this toolkit offers the clarity, structure, and direction HR teams need to turn AI potential into measurable outcomes to hire faster, develop better, and retain longer.

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What should HR do about AI?

AI will become an increasingly familiar part of working life over the next few years. HR teams should be thinking about how it can best support their day-to-day activities and provide support to all employees. HR leaders should be looking at mitigating potential risks by ensuring there is a clear understanding of how the AI applications that the HR team will use work, and prioritising monitoring and oversight.