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The Inclusive AF Podcast

The Inclusive AF Podcast

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Özet
Two BFFs. Decades in HR. Zero corporate speak. Katee Van Horn and Jackye Clayton talk about work, culture, and the things most companies won't say out loud. What actually happens to people at work, and what to do about it. Between them they've led people teams, run talent functions, built HR from scratch, and watched a lot of programs get announced and then quietly killed. They bring receipts. They also laugh a lot, because some of this is genuinely absurd. Expect real talk about hiring, leadership, burnout, bias, and the gap between what companies say and what they do. Plus monthly guests who've been in the room where it happened. If you work in HR, lead a team, or just want your job to suck less, you're in the right place. New episodes weekly. inclusiveafpodcast.comAll rights reserved by WRKdefined Career Success Economics Management Management & Leadership Politics & Government
  • Inclusive AF at HR Tech: Best of 2024–2025
    28 Oct 2026
    Two years of HR Tech, on camera. Katee Van Horn and Jackye Clayton on the floor in 2024, then the guests from HR Tech week 2025 who showed us what actually worked: a retention tool that took preventable turnover to zero at one site, and a COBOL developer who opened a door three years of pitching couldn't. Chapters0:00 Cold open0:25 Inclusive AF at HR Tech: Best of 2024–20250:34 Jackye and Katee on the HR Tech floor (2024)5:32 Caitlin Carragee and Mark Zimmerman, CoAdvantage (2025)11:24 Curtis Forbes, Mustard Hub (2025)16:38 Michael Wenning, Passive (2025) Recorded at and around HR Tech in 2024 and 2025.
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    25 dk.
  • Can AI Make Hiring Less Biased?
    20 Oct 2026
    General purpose AI can be more biased than humans. AI built for hiring can widen the candidate slate and raise quality at the same time. Tina Shah Paikeday, Senior Advisor for Responsible AI at Findem, has tested both, and she explains what HR leaders should check before they buy. Jackye Clayton and Katee Van Horn get into how to vet an AI hiring tool, why only about 5% of CHROs have real AI fluency, what new laws mean for anyone using automated hiring decisions, and how recruiters move from order taker to consultant. Key Takeaways General purpose AI draws on vast, unstructured data, and in Tina's testing it produced more bias than humans. AI built specifically for recruiting can widen candidate slates and raise quality at the same time. What goes into the data and the algorithm decides what comes out. Ask every vendor how theirs was built. Hiring teams now need AI to sort through the flood of AI written applications. Critical thinking and judgment are gaining value while tool specific skills lose it faster. Of roughly 7,000 US CHROs Tina reviewed, about 5% showed strong AI fluency. AI should make the recruiter role more strategic, not just faster. The person you need may already work for you. Check inside before you post the job. What you put into an AI tool can come back to you. Use tools with guardrails built for HR. Hiring laws are moving from guidance to enforcement in New York City, California and the EU. Timestamps 00:00 – Why general AI can be more biased than humans 03:36 – How AI can reduce bias in hiring 05:00 – How to vet an AI hiring tool 06:52 – The biggest hiring challenge: AI to sort through AI 12:17 – Only 5% of CHROs have AI fluency 14:33 – From order taker to consultant 20:27 – The scariest part: no guardrails 22:24 – Are your AI prompts protected? 25:54 – AI hiring laws: from soft law to hard law 27:27 – AI as a bias interrupter Keywords AI in hiring, hiring bias, responsible AI, recruiting technology, talent acquisition, AI regulation, CHRO, AI fluency, skills based hiring, HR technology Before your next AI vendor demo, ask two questions: was this built for hiring, and how did you test it for bias? Remastered from our original conversation with Tina Shah Paikeday, former partner and global practice head at Russell Reynolds.
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    35 dk.
  • GLP-1s at Work: Weight Bias, Benefits & Who Gets to Be Healthy
    19 Aug 2026
    GLP-1s are changing more than people’s bodies. They’re exposing some uncomfortable truths about work. Jackye Clayton and Katee Van Horn get personal about their own experiences with GLP-1s, from paying out of pocket and navigating insurance coverage to realizing how differently the world can treat you after you lose weight. But this isn’t a weight-loss episode. It’s a conversation about who gets access to health, what weight bias looks like at work, appearance privilege, the coping mechanisms nobody talks about, and whether GLP-1 coverage could become the next benefits battleground for employers. They also ask a question HR leaders may need to confront sooner than they think: What happens when losing weight starts affecting who gets hired, promoted, heard, or considered “put together”? And yes, Jackye would like the record to reflect that she was sexy at every weight.
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    34 dk.
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