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

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Manage episode 477382235 series 2862905
Content provided by Graham and Marty from Change State and Marty from Change State. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Graham and Marty from Change State and Marty from Change State or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

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)

67 episodes

Artwork
iconShare
 
Manage episode 477382235 series 2862905
Content provided by Graham and Marty from Change State and Marty from Change State. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Graham and Marty from Change State and Marty from Change State or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

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)

67 episodes

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