Tag: AI tools

AI is Creating HR Problems for Employers

AI Hiring Tools Can Violate FCRA  A recent lawsuit filed in California should raise serious concerns to any employer using artificial intelligence (AI) to screen applicants. The lawsuit, Kistler et al. v. Eightfold, AI Inc., claims the platform scraped personal data on over a billion workers, assigned each applicant a scored ranking, and filtered out lower-ranked […]

HRDA Frankly Speaking: The Tell-Tale Patterns of AI Resumes

While a single, perfectly polished application won’t tip HR leaders off, the true giveaway of an AI-generated resume isn’t found in a single line, it’s found in the patterns left behind across the entire applicant pool. As hiring pipelines face a surge of automated submissions, Donna Fowler, SVP of Global People & Talent at SEON, […]

Spotting the Red Flags: The Legal Risks Posed by Employer Use of AI

AI is rapidly transforming and becoming increasingly integrated into employer’s decision-making. Employers are leveraging AI tools to streamline hiring, manage employee performance, draft contracts, policies, or other legal documents, and even to answer complex legal questions. But as the adoption of AI in HR accelerates, so do the risks. For employers in particular, which have […]

3 Takeaways With Ben Eubanks on Research & AI

The workplace is changing fast – new skills, new tech, new expectations. Turnover is up, expectations are changing, and AI is transforming roles faster than teams can adapt. HR leaders need fresh strategies to keep employees engaged, connected, and thriving. Few understand the AI landscape in HR like Ben Eubanks, Chief Research Officer of Lighthouse […]

From AI Screening to the Uberization of Talent: 4 Trends HR Needs to Prepare For in 2026 

HR teams are under more pressure than ever. Budgets are tight. Expectations are high. The pace of change is accelerating. At the same time, artificial intelligence (AI) and flexible workforce models are reshaping not just how people work, but how talent is accessed and managed. Many HR leaders are trying to make sense of the […]

HRDA Frankly Speaking: You Need Nuance, Not AI

Despite the constant hype of technology the past couple years, AI can’t do it all, despite companies trying to make it so. Technology can streamline some processes, but there are times when AI simply can’t replace human judgment and may even have their own unintentional biases. Here’s what Vanessa Matsis-McCready, VP of HR services and […]

What Tracking Gen AI Skills Can Teach Us About the Future of Work

Generative AI (Gen AI) is reshaping the workplace, offering powerful tools for creativity, productivity, and efficiency. However, unlocking its potential hinges on more than just adoption; employees must develop a nuanced understanding of how to use this technology effectively. Organizations must go beyond traditional training approaches and embrace rigorous tracking of learning progress and outcomes […]

HRDA Frankly Speaking: Hyatt’s Warning on AI’s Equity Trap

Carlee Wolfe, Associate Vice President of Leader Development and Organizational Effectiveness at Hyatt Hotels Corporation, is sounding the alarm: The future of talent management isn’t just about cool technology—it’s about care and courage. Wolfe argues that rolling out Artificial Intelligence (AI) can’t succeed if the only goal is efficiency. It must be built on a strong foundation […]

How AI Challenges Recruiters to Shift from Admin to Strategy

Forget the panic of jobs being replaced; the true challenge of AI is getting Talent Acquisition (TA) to fundamentally redefine its value. That was the consensus from SPARK TALENT‘s “Unscripted Expert Discussion: TA in the Age of AI—Friend, Foe, or Future,” moderated by Jennifer Kirkwood CEO & Founder of Talvana Consulting, and featuring panelists Bertrand Dussert VP, Talent Acquisition […]

HR’s Blueprint to Bridge the Gap Between AI Vision and Workforce Reality

The future of work isn’t just about AI; it’s about the partnership between humans and AI. New global research from Accenture reveals a stark divide: while 84% of executives expect AI to work alongside people within three years, only 26% of workers have received the training to do so. This is an urgent “AI readiness […]