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AI HR Daily by OVI

AI HR Daily by OVI

De : Tim from OVI
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 What is Al HR Daily? Artificial intelligence in human resources encompasses technologies like machine learning, natural language processing, and predictive analytics applied to talent acquisition, employee engagement, performance management, and workforce planning. From Al-powered resume screening to automated video interviews, these tools help HR teams make faster, more objective hiring decisions. Topics We Cover Al recruitment tools, automated candidate screening, Al voice interviews, hiring bias reduction, EU Al Act compliance, predictive hiring analytics, talent intelligence platforms, Al job description generators, skills-based hiring, workforce planning Al, employee retention prediction, and Al ethics in employment
Épisodes
  • Greenhouse vs. Lever vs. Ashby: Which ATS Actually Wins in 2026?

    Greenhouse vs. Lever vs. Ashby: Which ATS Actually Wins in 2026?
    May 1 2026
    Choosing an applicant tracking system is one of the most consequential decisions a talent acquisition leader can make. Pick the wrong one and you're living with workarounds for years. Pick the right one and it compounds efficiency as your team scales. In 2026, three platforms dominate the conversation for tech-forward recruiting teams: Greenhouse, the structured-hiring veteran; Lever, the CRM-native relationship builder; and Ashby, the analytics-first challenger winning over product-led companies like Notion and Linear. In this episode we cut through the feature lists and get to the real question — which platform fits how your team actually recruits? We cover the honest strengths and gaps of each, who each one is really built for, and the one-sentence decision framework that clears it all up.
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  • How Spotify Is Filling 1 in 3 Jobs From Within — Using AI

    How Spotify Is Filling 1 in 3 Jobs From Within — Using AI
    May 1 2026
    In 2023, Spotify filled just 22% of open roles with internal candidates. By 2024, that jumped to 30%. The 2025 target: 40%. The engine behind the shift is Echo — an AI-powered internal talent marketplace that matches employees to roles, projects, and mentorships based on their actual skills, not their job title. But technology alone doesn't move numbers like that. What made Echo work was a hard policy rule: every open role must be posted internally first. No exceptions. That mandate created a data flywheel — more internal hires fed better matching data, which produced better matches, which drove more adoption. In this episode, we break down what Echo actually does, the three ingredients that made it succeed where most internal mobility tools fail, and what HR leaders can take away for their own organizations.
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  • Your AI Bias Audit Might Be Worthless — Regulators Just Proved It

    Your AI Bias Audit Might Be Worthless — Regulators Just Proved It
    May 1 2026
    Your AI hiring tool passed its bias audit. Congratulations — but here's the uncomfortable truth: that audit may not mean what you think it means. New York State auditors just reviewed how NYC enforces Local Law 144 — the landmark law requiring bias audits for AI hiring tools — and the findings are alarming. Three out of four complaints filed by New Yorkers never even reached the right agency. They got logged in the 311 system and disappeared. And when state auditors reviewed the same employers the city had cleared? They found 17 potential violations the city's own investigators had missed. But it gets worse. A major study from ACM FAccT analyzed 116 published LL 144 bias audits and found widespread methodological problems — incomplete data, opaque methods, even synthetic proxy data standing in for real applicants. Some tools that received clean audit reports were likely violating the four-fifths adverse impact rule all along. Meanwhile, the regulatory landscape is expanding fast. Illinois, Colorado, and the EU AI Act are all adding new obligations — with key deadlines hitting in 2026. For HR leaders, the audit-and-forget era is officially over.
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