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Can you trust AI with your next pay raise?
What once took Monica Seiter hours of manual reviews can now be resolved with the press of a button and a few prompts. As director of payroll at Lindenwood University in St. Louis, Seiter uses Payroll Agent, an AI-powered assistant in the management software Workday, to automate the payroll process. (Workday lists The Washington Post as a client.) Some of her favorite features include automated scans to find missing data ahead of payday, and notifications to managers about minimum wage increases that could impact Lindenwood's budget. Payroll Agent is just one of many AI tools released last year, joining a wave of AI-powered products designed to automate HR processes. The developers behind these tools, commonly referred to as AI agents, promise efficiency and precise information for managers when conducting performance reviews or evaluating who is eligible for a raise or promotion. But by partially automating HR functions, organizations are calling on AI to help steer one of the most consequential relationships between employers and employees, one where a deft human touch was long considered a requirement. "People don't want to be judged by a black box," said John McCarthy, a professor researching workplaces and emerging technologies at Cornell University. "Sometimes, even the people using or deploying these systems don't know what's in the black box." While companies like Workday are rolling out narrow AI agents designed for specific tasks, managers are already using general-purpose models such as ChatGPT and Google's Gemini to inform high-stakes calls. More than 60 percent of managers say they use these tools to inform decisions on their employees, according to a June survey by ResumeBuilder, including to draft performance reviews. Of these, over half said they use AI to help determine raises, promotions and even layoffs.Ask The Post AIDive deeper Industry reports suggest that when used correctly, automating certain HR tasks can lead to significant time savings for managers -- up to 25 percent -- according to one analysis by consulting firm Bain & Company. But as companies race to integrate AI, critics worry that untrained managers could use it irresponsibly. The ResumeBuilder survey found that only one third of managers who used AI to manage people had received formal instruction on how to do so, and around 20 percent often allowed AI to make decisions without human input.Ask The Post AIDive deeper "It's a wild, wild west out there," said Stacie Haller, chief career advisor at ResumeBuilder, adding that AI-assisted decision-making at work could expose companies to legal action, including wrongful dismissal cases. "If you are let go and it was based on some AI evaluation, I guarantee you there are going to be lawsuits, because today people bring up lawsuits when they feel they're unfairly fired anyway," she said. For Workday, the answer is for a person to have a final say and remain accountable, even if they tapped an AI agent for help, explained Aashna Kircher, a group general manager for HR products at the company. "AI can't make decisions around people's performance," she said. "We are very much anchored on having a human in the loop and amplifying potential, not replacing human judgment." When used responsibly, AI agents could even help improve transparency, says Maria Colacurcio, CEO of Syndio, a company developing workplace equity solutions. In October, Syndio released its own AI agent called Syndi, which provides hiring managers with salary offer recommendations for individual job candidates based on internal pay policies, market rates and company targets. Agents like Syndi are designed to explain each recommendation, a step Colacurcio says is essential for maintaining trust. "The real value of AI is helping leaders make good decisions with better confidence. And when you've got that clear and consistent reasoning, the people who are on the receiving end feel respected," Colacurcio said. Even when AI agents are transparent about how a recommendation was formulated, a human arbiter will still likely be required to make most decisions. In processes like performance feedback, soft skills that are harder to quantify might slip past what algorithms are ready to reward, said John Hausknecht, a human resources professor at Cornell. Recognizing qualities like congeniality and willingness to train colleagues, or context from workers' personal lives, is one area where human managers still have an edge over machines. "There's a 'what' and a 'how'," Hausknecht said. Evaluating what an employee has produced can be relatively easy for automation to capture, "but how they got there, and did they take the right steps and build the right relationships along the way, I still think has that judgmental quality that's hard to get away from."
[2]
Can you trust AI with your next pay raise?
What once took Monica Seiter hours of manual reviews can now be resolved with the press of a button and a few prompts. As director of payroll at Lindenwood University in St. Louis, Seiter uses Payroll Agent, an AI-powered assistant in the management software Workday, to automate the payroll process. (Workday lists The Washington Post as a client.) Some of her favorite features include automated scans to find missing data before payday, and notifications to managers about minimum wage increases that could impact Lindenwood's budget. Payroll Agent is just one of many AI tools released last year, joining a wave of AI-powered products designed to automate HR processes. The developers behind these tools, commonly referred to as AI agents, promise efficiency and precise information for managers when conducting performance reviews or evaluating who is eligible for a raise or promotion. But by partially automating HR functions, organizations are calling on AI to help steer one of the most consequential relationships between employers and employees, one where a deft human touch was long considered a requirement. "People don't want to be judged by a black box," said John McCarthy, a professor researching workplaces and emerging technologies at Cornell University. "Sometimes, even the people using or deploying these systems don't know what's in the black box." While companies like Workday are rolling out narrow AI agents designed for specific tasks, managers are already using general-purpose models such as ChatGPT and Google's Gemini to inform high-stakes calls. More than 60 percent of managers say they use these tools to inform decisions on their employees, according to a June survey by ResumeBuilder, including to draft performance reviews. Of these, over half said they use AI to help determine raises, promotions and even layoffs. Industry reports suggest that when used correctly, automating certain HR tasks can lead to significant time savings for managers -- up to 25 percent -- according to one analysis by consulting firm Bain & Company. But as companies race to integrate AI, critics worry that untrained managers could use it irresponsibly. The ResumeBuilder survey found that only one third of managers who used AI to manage people had received formal instruction on how to do so, and around 20 percent often allowed AI to make decisions without human input. "It's a wild, wild West out there," said Stacie Haller, chief career adviser at ResumeBuilder, adding that AI-assisted decision-making at work could expose companies to legal action, including wrongful dismissal cases. "If you are let go and it was based on some AI evaluation, I guarantee you there are going to be lawsuits, because today people bring up lawsuits when they feel they're unfairly fired anyway," she said. For Workday, the answer is for a person to have a final say and remain accountable, even if they tapped an AI agent for help, explained Aashna Kircher, a group general manager for HR products at the company. "AI can't make decisions around people's performance," she said. "We are very much anchored on having a human in the loop and amplifying potential, not replacing human judgment." When used responsibly, AI agents could even help improve transparency, says Maria Colacurcio, CEO of Syndio, a company developing workplace equity solutions. In October, Syndio released its own AI agent called Syndi, which provides hiring managers with salary offer recommendations for individual job candidates based on internal pay policies, market rates and company targets. Agents like Syndi are designed to explain each recommendation, a step Colacurcio says is essential for maintaining trust. "The real value of AI is helping leaders make good decisions with better confidence. And when you've got that clear and consistent reasoning, the people who are on the receiving end feel respected," Colacurcio said. Even when AI agents are transparent about how a recommendation was formulated, a human arbiter will still likely be required to make most decisions. In processes like performance feedback, soft skills that are harder to quantify might slip past what algorithms are ready to reward, said John Hausknecht, a human resources professor at Cornell. Recognizing qualities like congeniality and willingness to train colleagues, or context from workers' personal lives, is one area where human managers still have an edge over machines. "There's a 'what' and a 'how'," Hausknecht said. Evaluating what an employee has produced can be relatively easy for automation to capture, "but how they got there, and did they take the right steps and build the right relationships along the way, I still think has that judgmental quality that's hard to get away from."
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AI agents are transforming human resources, with over 60% of managers now using tools like ChatGPT to inform decisions on raises, promotions, and even layoffs. But concerns mount as only one-third receive formal training, and around 20% allow AI to make decisions without human input. The shift raises critical questions about accountability, fairness, and whether human oversight can prevent potential legal liabilities.
AI in HR is reshaping how organizations handle critical employee decisions, from payroll automation to determining who deserves an AI pay raise. Monica Seiter, director of payroll at Lindenwood University in St. Louis, exemplifies this shift. What once required hours of manual reviews now takes just a button press and a few prompts using Payroll Agent, an AI-powered assistant within Workday's management software
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. The tool automates scans for missing data before payday and alerts managers about minimum wage increases that could impact budgets.Source: Washington Post
Payroll Agent joins a growing wave of AI tools in human resources designed to automate HR processes. These AI agents promise efficiency and precision for managers conducting AI for performance reviews or evaluating eligibility for raises and promotions. Yet this automation introduces AI into one of the most consequential employer-employee relationships, where human judgment was long considered essential
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."People don't want to be judged by a black box," said John McCarthy, a Cornell University professor researching workplaces and emerging technologies. "Sometimes, even the people using or deploying these systems don't know what's in the black box"
1
. This opacity raises fundamental questions about trust in AI and fairness in the workplace.While companies like Workday deploy narrow AI agents for specific tasks, managers already use general-purpose models such as ChatGPT and Google's Gemini to inform high-stakes calls. More than 60 percent of managers use these tools to inform decisions about employees, according to a June survey by ResumeBuilder
1
. Of these, over half use AI in the workplace to help determine raises, promotions, and even layoffs.The rush toward AI adoption reveals a troubling gap in human oversight. The ResumeBuilder survey found that only one-third of managers who used AI for employee management received formal instruction on how to do so. More concerning, around 20 percent often allow AI to make decisions without human input
1
."It's a wild, wild west out there," said Stacie Haller, chief career advisor at ResumeBuilder. AI-assisted decision-making at work could expose companies to legal action, including wrongful dismissal cases. "If you are let go and it was based on some AI evaluation, I guarantee you there are going to be lawsuits, because today people bring up lawsuits when they feel they're unfairly fired anyway"
1
.Industry reports suggest that when used correctly, automating certain HR tasks can save managers up to 25 percent of their time, according to consulting firm Bain & Company
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. But without proper training and accountability measures, these efficiency gains could come at a steep cost.Related Stories
For Workday, the solution centers on maintaining accountability. "AI can't make decisions around people's performance," explained Aashna Kircher, group general manager for HR products at the company. "We are very much anchored on having a human in the loop and amplifying potential, not replacing human judgment"
1
.When used responsibly, AI agents could improve transparency, says Maria Colacurcio, CEO of Syndio, a company developing workplace equity solutions. In October, Syndio released its own AI agent called Syndi, which provides hiring managers with AI salary recommendations for individual job candidates based on internal pay policies, market rates, and company targets
1
. Agents like Syndi explain each recommendation, a step Colacurcio considers essential for maintaining trust."The real value of AI is helping leaders make good decisions with better confidence. And when you've got that clear and consistent reasoning, the people who are on the receiving end feel respected," Colacurcio said
1
.Even with transparent AI agents, human arbiters remain necessary for most decisions. In processes like performance feedback, soft skills that are harder to quantify might slip past what algorithms reward, said John Hausknecht, a human resources professor at Cornell. Recognizing qualities like congeniality and willingness to train colleagues, or context from workers' personal lives, represents an area where human managers maintain an edge over machines
1
."There's a 'what' and a 'how'," Hausknecht explained. Evaluating what an employee has produced can be relatively easy for automation to capture, "but how they got there, and did they take the right steps and build the right relationships along the way, I still think has that judgmental quality that's hard to get away from"
1
.This qualitative performance assessment challenge highlights why ethical AI deployment in HR requires more than just technological sophistication. Organizations must balance efficiency gains with fairness, ensure transparency in how recommendations are generated, and maintain robust accountability frameworks. As AI continues to influence critical career decisions, the question isn't whether these tools will be used, but whether companies can implement them responsibly while preserving the human judgment that complex employee relationships demand.
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