Is AI-Supplied Data Reliable?

As AI tools become more common in HR—from labor market aggregators to AI-summarized trend reports—leaders are asking a new question: Can I trust data created or compiled by AI?

HR relies on a wide range of data to guide decisions, including turnover and retention metrics, compensation and benefits benchmarks, workforce demographics, and survey data from employee engagement and pulse surveys, and exit interviews. AI can help process these datasets, but it does not guarantee accuracy or correct insights. And poor or biased input data leads to flawed outputs—and even with good data, a poorly framed question can produce misleading insights.

To ensure trustworthy results:

• Verify the Source: Use AI tools that draw from reputable, transparent data sources, such as validated compensation surveys, benefits benchmarks, or labor market data with clear methodology, rather than unverifiable information.
• Check for Human Oversight: AI-generated data should be validated by experts, not taken at face value. For instance, an AI summary of exit interview feedback results should be validated by HR to ensure nuances, organizational culture, and recent events are accurately reflected.
• Prioritize Quality: High-quality, verified data—such as benchmarked survey results—remains the foundation for accurate decision-making. 
• Look for Transparency: Reliable AI solutions disclose how data is gathered and processed.  This is especially important when using AI to analyze sensitive information, such as employee net promoter scores or benefits utilization, where leaders need confidence in both the process and the outcome.
• Craft Clear Queries: Ambiguous or overly broad questions can skew results. Precise, well-structured queries lead to better insights.  Asking, “Why is turnover increasing?” may yield broad or generic results, while a more precise query—such as “What turnover trends are we seeing by department, tenure, and role type over the past 12 months?”—can lead to more actionable, HR-relevant insights.

AI is powerful, but it’s not a substitute for rigor. Combining AI with verified, human-reviewed data and thoughtful queries ensures decisions are grounded in reality. 

At MRA, we can help organizations read between the lines. Our experts work with you to analyze HR data you already have—or data you’re looking to obtain—whether it’s compensation, benefits, turnover, or employee survey results. By combining trusted data sources, thoughtful analysis, and human insight, we help ensure decisions are grounded in reality and aligned with your organization’s goals.

Find more insights on using data to drive decisions in our new paper, The Power of Data-Driven HR. Download this free resource.