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The legal landscape for AI in hiring is shifting, and HR leaders need to think ahead

HRExecutive

With emerging federal, state and local laws specifically addressing AI and hiring—and the U.S. Equal Employment Opportunity Commission (EEOC) having settled its first AI hiring discrimination lawsuit last year—workplace experts say that the legal landscape is shifting and HR leaders need to think proactively.

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5 Strategies to Overcome Construction Hiring Challenges in 2025

Hoops

Youre a construction company leader, racing against tight deadlines and rising costs, only to be stalled by one persistent problem: hiring skilled talent. In an industry where every skilled worker counts, construction hiring mistakes can delay projects, inflate budgets, and tarnish your reputation. But you can overcome these obstacles.

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Colorado’s AI Law Sets a High Bar for HR Compliance

HR Digest

Colorado’s groundbreaking AI law, Senate Bill 24-205, effective February 1, 2026, is setting a high standard for businesses using AI in employment decisions. It targets “high-risk AI systems” that influence critical decisions, like hiring or promotions. But with great power comes great responsibility.

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The Essential HR Guide to Application Tracking Systems (ATS)

Keka HR Blog

You’ve just posted a job opening for a software developer position. Your hiring managers are breathing down your neck for progress updates. Your time-to-hire is increasing every day, and the top talents seem to love ghosting you. So, how do you navigate this overwhelming influx of applications while hiring top talent?

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How HR teams can boost AI security. Plus news from Greenhouse, Lattice and more

HRExecutive

This security deficit could pose particular risks for human resources departments, where AI tools increasingly handle sensitive employee data and influence critical decisions around hiring and performance evaluation. The integration brings TSA PreCheck-level ID verification into hiring workflows, requiring only candidate selfies.

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Successful AI implementation in recruitment: Case studies

MiHCM

Artificial intelligence (AI) in recruitment uses machine learning, Natural Language Processing (NLP), and predictive analytics to automate and optimise hiring workflows, eliminating manual bottlenecks and ensuring data-driven candidate shortlisting across high-volume applicant pools. MiHCM’s AI modules deliver unified, end-to-end workflows.

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HR Tech Awards 2025 Winners Announced

Ben Eubanks

In our daily work with talent leaders and solution providers, we run into some incredible technology. These tools available to organizations right now can help them hire, develop, and retain their people, and the platforms and systems are amazing in their ability to support intelligent decisions, personalized actions, and more.