What’s Your Role in Making AI a Responsible HR/TR Tool?

Artificial intelligence (AI) is no longer a futuristic concept in HR and total rewards (TR) — it is actively reshaping how organizations like yours handle payroll, benefits, talent acquisition and performance management. However, as AI adoption accelerates, the focus of HR/TR professionals is shifting from simply using the technology to using it with intention, ethics and accountability.

Joshua Lemon, CCP, CSCP, the senior director of global TR at home automation solutions company Resideo, tackled this imperative in a breakout session on Monday, April 20, at WorldatWork’s Total Rewards ’26 conference in San Antonio, Texas.

His session, titled “Responsible AI: Avoiding Pitfalls and Practicing Stewardship”:

• Argued that responsible AI usage requires more than just speed or curiosity — it requires keeping human judgment firmly in control.
• Explored the delicate balance between capitalizing on AI’s efficiency and avoiding the erosion of critical thinking in the workplace.

Check out Workspan Daily’s on-site coverage of Total Rewards ’26:

• There Is a Distinct Power in Knowing What Matters to Your Workers
• WorldatWork, HRCI Leaders Kick Off Program Exploring Work’s New Era 
• Why Bravery Is a Formal Habit HR Pros Need to Build and Lean Into
• Cha-Ching: How to Transform HR into a Profit Center

Check out Workspan Daily’s pre-conference coverage of Total Rewards ’26:

• To Enhance Employee Experience, Lean into Integrity, ‘Radical Honesty’
• Conference Session Takes Community Approach to Solving HR Problems
• BIG Ideas: Learn How to Get the Most Out of a Small HR Budget and Team
• Recognize that Employee Recognition Needs Some Attention
• Hard Choices, Soft Solutions: A Considerate Approach to Compensation
• Making the Leap to a Pay-for-Performance Approach that Works
• Are You Speaking Gen Z’s Language When It Comes to Total Rewards?

Recognizing and Avoiding ‘Work Slop’

One of the primary dangers Lemon discussed was “work slop” — low-effort, AI-generated content that looks polished but lacks the “so what” layer of human context and expertise. While AI can create a policy draft or summarize benefits data, overreliance on these tools can lead to passive, unverified outputs that can damage personal/organizational credibility and productivity.

When using AI, he advised to:

• Avoid the confidence trap. “AI writes with such high confidence that it tricks us into lowering our natural scrutiny,” Lemon said.
• Understand that polished isn’t the same as correct. “Professional formatting can mask hallucinated facts or logic gaps. Don’t be fooled by style,” he said.
• Don’t underestimate the potential damage to trust. “Errors damage credibility; if small details are wrong, stakeholders doubt the big ones,” he said.

Lemon stated AI should be used as a support tool — a “digital doer” rather than a substitute for professional judgment. He explained that if work requires utilization of “the head, the heart and the hands,” AI is best suited to assist with “the hands” component, leaving human workers responsible for the brainpower and compassion that delivers real credibility, in the form of “taste, judgment, experience and discernment.”

Key Takeaways for Responsible Stewardship

Lemon provided a roadmap for navigating the ethical complexities of AI in HR workflows, focusing on the:

• Identification of ethical and reputational risks. HR/TR pros should learn to identify where AI introduces bias or violates privacy, particularly with sensitive employee data.
• Prevention of “cognitive offloading.” To maintain a sharp, engaged workforce, pros are encouraged to use AI to test ideas rather than simply generate them. The session promoted “thinking first, prompting second,” which allows HR/TR pros to structure the work before outsourcing it to AI.
• Establishment of accountability. Strategies for maintaining organizational accountability for AI-generated decisions should avoid stifling innovation and ensure human judgment remains the final arbiter in HR decisions.

Use Some Smart Habits to Add Rigor

Lemon also provided four practical habits for HR/TR pros. These included:

• Treat AI output as a draft. Never copy and paste directly into final communication. Use it as a starting point, not the finish line.
• Verify against primary sources. Plan documents, compensation tables and official policies are the source of truth. Always cross-reference.
• Use AI to challenge thinking. Ask it to generate alternatives, find holes in your logic or suggest counterarguments to strengthen your work.
• Maintain review discipline. Review AI output with the same rigor you would apply to a junior analyst’s work before sending it out.

“AI should make us faster,” Lemon concluded. “It should never make us less thoughtful.”

Editor’s Note: Additional Content

For more information and resources related to this article, see the pages below, which offer quick access to all WorldatWork content on these topics:

• Organizational Performance
• People Analytics
• Total Rewards