#67: Building Human-Centric AI in HR Tech: From Fear to Adoption

The Changing State of Talent Acquisition

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1M ago 33:08

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In this episode, Kyle Lagunas of Aptitude Research discusses the crucial distinction between "human-in-the-loop" and truly "human-centric" AI approaches in HR. Drawing from his extensive 15-year career studying innovation cycles in HR tech, Kyle explains why adoption rates for AI in HR are stalling despite executive support, and offers practical strategies for building AI literacy within organizations.

Topics Covered:

The difference between human-in-the-loop vs. human-centric AI design
Why HR departments struggle with AI adoption and tech literacy
Practical ways to increase AI literacy within HR teams
Evaluating AI use cases across impact, risk, and complexity
Success stories and low-risk starting points for HR AI implementation
Moving beyond the "bias boogeyman" in AI evaluation

Discover how to evaluate AI implementations and learn why many HR departments are starting their AI journey with conversational AI. This episode provides a nuanced framework for HR professionals looking to move beyond fear-based decision making and implement AI solutions that genuinely augment human capabilities.

Chapters

1. Introduction to Kyle Lagunas (00:00:00)

2. AI Hype and HR's Tech Literacy Gap (00:02:35)

3. Human-in-the-Loop vs. Human-Centric AI (00:05:30)

4. Why AI Adoption Rates Are Stalling (00:14:17)

5. Building AI Literacy in Organizations (00:21:38)

6. Success Stories and Evaluating AI Use Cases (00:26:59)

7. Moving Past AI Risk to Strategic Impact (00:32:20)

69 episodes

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