Tag: AI

Structured Interviewing: The Human Signal HR Still Needs in an Age of AI Enhanced Hiring

We are entering a new era of Work 4.0, defined by rapid technological acceleration, shifting human expectations, and a hiring landscape that feels more complex than ever. AI is reshaping how organizations source, assess, and select talent. It is also reshaping how candidates present themselves: they can now mass apply to hundreds of roles in […]

Best of HRDA Frankly Speaking (Part 1)

From AI and HR data to recruitment and empathetic leadership, HRDA’s Frankly Speaking series goes straight to the source. We’ve tapped top HR industry experts to give you the actionable insights you need to navigate today’s hottest topics. Here are the most-viewed insights you can’t miss. Portillo’s CPO on Winning Executive Support The most authentic […]

Why Your AI Upskilling Will Fail (Unless You Fix These 5 Things First)

Your executive team wants artificial intelligence (AI) adoption yesterday. Your budget for training platforms is approved. Your learning modules are ready to launch. But here’s the uncomfortable truth: none of it will stick, and the problem isn’t your training. Every Chief Learning Officer (CLO) knows this frustration. Employees complete their AI literacy courses, pass their […]

AI Adoption Demands Workforce Resilience 

Artificial intelligence is reshaping the workplace at a pace few technologies have matched. For HR leaders, the challenge is not simply rolling out new tools but ensuring employees adapt with confidence.   Resilience – the ability to absorb change and thrive in it – is the critical resource that determines whether AI adoption succeeds or stalls. How can HR leaders embed resilience into the organization’s […]

Mitigate Legal Risks of AI in Employment Decisions Through Vendor Contracts

Artificial intelligence (AI) has become commonplace in recruiting, screening, interviewing, testing, promotion, and employee monitoring. Properly designed and governed, AI can streamline processes and improve consistency. In employment decision-making, however, AI can introduce legal and operational risks for the employer, even when the AI tools are built and operated by third-party vendors. Businesses should understand […]

Best of AI 2025

AI has been the hot topic in the workplace during 2025. We’ve seen any and everyone take on the AI discussion in the HR industry, and after a few years of testing, we’re seeing the technology finally find its niche, while understanding what it may not be best at. Throughout AI’s journey from a world-changing […]

HRDA Frankly Speaking: The Future of Junior Roles

With AI’s advent and constant changes, we’re watching Entry Level Jobs change as we know it. Gone are the days where entry level positions assist with notetaking, research, and organization, now that a few simple prompts can achieve that same work in a fraction of the time. But what is the future of entry level […]

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 […]

Best of Infographics 2025

Sometimes, you need complex HR and business strategy explained fast—and visually. That’s why our infographics were among our most-viewed content this year! From decoding the latest HR buzzwords to breaking down AI adoption strategies and mapping the perfect people and business strategy alignment, HRDA put the most important topics of 2025 into clear, digestible graphics. […]

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 […]