HR departments are adopting artificial intelligence (AI) to varying degrees, from fully integrated systems to occasional testing. While AI offers potential benefits, its use in areas like analysis and decision-making raises concerns, especially in HR, where decisions often involve sensitive personal data. Rather than replacing human judgment, AI should support HR professionals by providing insights and highlighting relevant information rather than making decisions on their own. The key to successful AI integration lies in focusing on real value and maintaining human oversight, rather than simply following trends or deploying AI for the sake of it. One of the main challenges with AI is its limitations in understanding context, roles, and specific criteria. AI systems can become unreliable when users chain multiple requests without clear expectations, often because of vague instructions. Additionally, AI may provide incomplete or inconsistent answers, and it can fabricate sources or give different responses to the same question. To reduce these issues, users should test AI on tasks they already understand and ensure they provide clear, specific instructions. AI can also reproduce biases present in its training data, such as historical or social prejudices. For example, some AI tools have shown a tendency to rate job candidates with female names more favorably for secretarial roles, while favoring male names for IT positions. To combat this, HR teams should focus on evaluating skills and experience rather than personal details like names or age. This requires careful design of AI use cases to prevent bias from occurring in the first place, rather than trying to correct it later. Another subtle bias, known as sycophancy, occurs when AI aligns too closely with a user's viewpoint, validating both good and bad judgments. To address this, prompts should clearly define roles, evaluation criteria, and areas of caution, and AI should be asked to identify flaws rather than confirm assumptions. As employees increasingly use AI tools on their own, there is a risk of using unverified or unsafe public platforms and sharing confidential or professional data. A strict ban on AI use is not effective, as it can lead to hidden or risky practices. Instead, organizations should create a clear framework that includes secure, approved AI tools and training for employees on both the potential and limitations of AI. This framework should involve collaboration between HR, IT, and legal teams to assess risks and establish guidelines for responsible AI use. AI can add value to HR by helping secure human decisions through information highlighting and by automating repetitive tasks, allowing more time for analysis, support, and listening. Some effective uses include synthesizing and cross-referencing data, connecting information from HRIS (Human Resource Information System) platforms, and using conversational AI agents like Ask Lucca for operational support. Employees can move from experimenting with AI to mastering its use by starting with small, verifiable tasks and relying on internal champions who share best practices. The ultimate goal is to ensure that AI is used with final human validation at every step.