AI in HR

What does generative AI mean for the workforce? We answer your top questions about how it’ll impact work, plus tips for how to make AI work for your organization. 

While there are limitless uses for AI in enhancing workflows, making predictions, and solving problems, one important application is using the technology to drive learning and development.

The application of GenAI can lead to more data-driven decisions, personalized employee experiences, and significant gains in operational efficiency.

If you couldn’t attend the recent UKG Pro People Center Roadmap Presentation, check out all the main highlights here.

It is essential for people to understand where AI is being used and how, because they have a responsibility to act: do they accept a prediction or reject it? 

Business strategy and people processes don't have to be at odds for modern executives. See how HR technology can help you strike a balance.

Advanced AI technologies have enormous potential for refining workplace procedures and addressing complex projects. However, before HR professionals adopt these technologies, they must also anticipate upcoming regulations at multiple levels.

With proper privacy and security, AI can positively impact workforce productivity and employee experience.

Advisory board member Bob Clements sheds light on why companies are hesitating to embrace AI in areas like managing people and scheduling work, even though AI is everywhere in our personal lives. A mix of not really getting how AI works, wondering if it's really worth the hype, and not having clear rules on using AI at work are holding things back. To get past these roadblocks, Bob suggests taking baby steps with AI projects, asking for advice from those in the know, and trying things out bit by bit. This way, companies can start to feel more comfortable with AI and begin to see its real value in making work life better.

From Advisory board member, Alex Levit, AI and deep learning are transforming HR by improving talent sourcing and hiring in tight labor markets. By analyzing vast data, these technologies identify transferable skills, enabling talent intelligence platforms to match potential candidates with job openings beyond traditional criteria. This focus on a candidate's potential rather than current skills allows companies to adapt more flexibly to future needs, revolutionizing hiring practices.