Tag: AI

The HR + AI Transformation: 3 Insights from 350 HR Pros

HR professionals are no strangers to change, and the rise of AI has caused a drastic shift in the way that HR teams manage day-to-day work, hiring processes, and employee experience. While these shifts can bring positive opportunities for the ways that teams work, recent insights from HR professionals reveal that AI transformation isn’t without […]

AI Promised You 11 Hours a Week Back: Here’s Where They Actually Went

It’s 10 a.m. and Maria asks an AI tool to draft a summary. The answer comes back fast but not quite right, so she pastes the same request into a second tool to see if it does better, then a third, because the second one was missing context the first one had. Thirty minutes disappear […]

Bias, Bots and Boundaries: Practical Tips for Avoiding Liability in AI Recruiting

Artificial intelligence can make recruiting faster, but legal responsibility does not disappear when technology enters the hiring process. That point is being tested in Mobley v. Workday, Inc., Case No. 3:23-cv-00770- RFL (N.D. Cal. 2023), a federal lawsuit pending in the Northern District of California, in which job applicants allege that Workday’s AI-based applicant-screening tools […]

Union Contracts Are Becoming HR AI Playbook 

HR leaders should watch an unexpected source of practical AI policy: collective bargaining agreements. A July 2026 Axios review found that the NewsGuild-CWA had roughly 85 to 90 contracts with explicit AI provisions. Those workplace AI rules matter beyond unionized employers because they show how employee participation can become part of deployment rather than a […]

Faces of HR: How Equifax’s Chris Johnson is Making HR the Hero

Chris Johnson isn’t your typical HR leader—and that’s his superpower. As Senior Vice President and General Manager of Employer Services at Equifax Workforce Solutions, Johnson leads a team dedicated to providing HR professionals with people-driven, data-powered solutions. His goal? Take the heavy lifting out of HR compliance so employers can spend less time on administration and […]

HRDA Frankly Speaking: HR Leadership Shouldn’t Include Theology

Religious exemptions requests of AI are growing by the day. Since May, when the Vatican released an encyclical offering criticism on AI and its use, several instances of employees successfully acquiring religious accommodations to avoid using AI have been popping up, and likely many more to follow. What does this mean for employers? Well, thanks […]

The AI Adoption Gap is Now HR’s Biggest Workforce Risk

A CFO uses an AI assistant to draft a board update before the Monday morning meeting ends. Down the hall, employees performing similar knowledge work remain stuck with old processes because access, training, managerial support, and incentives never arrived. That divide exposes the real AI adoption gap: companies can appear technologically advanced while most daily […]

HRDA Frankly Speaking: AI Exemptions Only Growing

With Pope Leo XIV releasing an encyclical back in May, largely condemning the use of generative AI, we’ve seen cases begin to surface of employees asking for religious accommodations to exempt them from using AI in their roles. And employers are having to comply. As AI use grows, so too does it’s many compliance issues. […]

HRDA Frankly Speaking: Are You Automating Away Your Team’s “Quick Wins”?

Many HR leaders are rushing to use AI to automate routine, repetitive tasks. The goal seems obvious: clear out the busy work so employees can focus entirely on high-value, complex projects. But Kevin Bishop, Director of Talent Development at LinkedIn, warns that this approach might accidentally be driving your team straight toward burnout. In a […]

New Stanford Study Reveals Bias in AI Hiring Tools, Raises Stakes for Employers

A recent study by Stanford University’s Institute for Human-Centered Artificial Intelligence (HAI) provides new large-scale evidence that artificial intelligence (AI) hiring tools can produce racially disparate outcomes. For employers increasingly relying on automated screening to manage applicant volume, the study raises significant legal risk, particularly under long-standing disparate impact principles. Details The Stanford researchers analyzed […]