Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. As AI technology moves beyond automation to augmentation, companies may be looking at how AI tools can make the work of human resources (HR) better for employees and job seekers. It’s not just about saving time; it’s also about providing information, insights, and recommendations in near real-time. And that’s just the start of AI in human resources.

These conversations are happening as the workforce is undergoing a major change. According to a global study from the IBM Institute for Business Value (IBV), surveyed executives estimate that 40% of their workforce will need to reskill as a result of implementing AI and automation over the next three years. This shift is viewed as an expansion of job possibilities. In fact, 87% of respondents believe employee roles are more likely to be augmented than replaced by generative AI, with the effects varying depending on job function.

Diverse Talents and Biasness

This HR user looks to deploy machine learning (ML), natural language processing (NLP) and other AI technologies to automate human resources tasks and support decision-making to overcome key language barrier to access global talents. Is looking towards a data-based approach to diverse global talent acquisition, employee advancement and retention that seeks to mitigate bias and enhance the job seekers’ and employees’ experiences.

Companies today have the potential to use artificial intelligence in HR functions and processes to inform decision-making, make interacting with HR easier for employees and free up time to make better hiring decisions and invest in employee satisfaction and retention.