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Charles Handler에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charles Handler 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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What does AI know about Skills Based Hiring? Listen and find out!

23:23
 
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Manage episode 464261927 series 2978256
Charles Handler에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charles Handler 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

“We need global standards to define and verify skills, or we’ll be left with confusion and inconsistency across industries.”

-Notebook LM’s Deep Dive Podcast Hosts

Skills based hiring is all the rage, and so is AI.

So what happens when you mix the two?

In this special edition of Psych Tech @ Work, I handed the mic over to AI using Google’s Notebook LM. The result? A fully AI-generated exploration of the evolving world of skills-based hiring. But how well did AI do at covering this complex and nuanced topic?

So how did it do? Listen and decide for yourself.

In the meantime- Here is a short summary to pique your curiosity.

Skills-based hiring promises to break down barriers and redefine how we think about qualifications, but it’s not without challenges. This episode examines how companies can move beyond traditional degree requirements and leverage diverse learning pathways. It also highlights the shift from career ladders to flexible, lattice-like models and the critical role of leadership in making these transformations happen.

Key Takeaways:

* AI is a tool, not the solution: Organizations need both AI-driven assessments and human judgment to effectively identify and verify skills.

* Degrees aren’t everything: Employers must embrace non-traditional education pathways to access untapped talent.

* Lifelong learning is essential: Workers should continuously upskill and showcase their abilities through portfolios and personal branding.

* The career ladder is outdated: Flexible career paths based on transferable skills are the future.

* Leadership drives change: True transformation in hiring practices requires bold decisions beyond tech implementation.

Conclusion:

This AI-powered episode demonstrates the potential of using AI for content creation while also showing its limitations. AI did a great job providing structure and highlighting key points, but human oversight remains essential to ensure deeper exploration and address the human factors that technology alone can’t fully capture. Skills-based hiring requires more than AI—it needs leaders willing to rethink and redesign hiring practices with empathy and inclusivity in mind.

Please listen and share your thoughts on how these robots did exploring the issues and drawing meaningful conclusions!

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com

  continue reading

100 에피소드

Artwork
icon공유
 
Manage episode 464261927 series 2978256
Charles Handler에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Charles Handler 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

“We need global standards to define and verify skills, or we’ll be left with confusion and inconsistency across industries.”

-Notebook LM’s Deep Dive Podcast Hosts

Skills based hiring is all the rage, and so is AI.

So what happens when you mix the two?

In this special edition of Psych Tech @ Work, I handed the mic over to AI using Google’s Notebook LM. The result? A fully AI-generated exploration of the evolving world of skills-based hiring. But how well did AI do at covering this complex and nuanced topic?

So how did it do? Listen and decide for yourself.

In the meantime- Here is a short summary to pique your curiosity.

Skills-based hiring promises to break down barriers and redefine how we think about qualifications, but it’s not without challenges. This episode examines how companies can move beyond traditional degree requirements and leverage diverse learning pathways. It also highlights the shift from career ladders to flexible, lattice-like models and the critical role of leadership in making these transformations happen.

Key Takeaways:

* AI is a tool, not the solution: Organizations need both AI-driven assessments and human judgment to effectively identify and verify skills.

* Degrees aren’t everything: Employers must embrace non-traditional education pathways to access untapped talent.

* Lifelong learning is essential: Workers should continuously upskill and showcase their abilities through portfolios and personal branding.

* The career ladder is outdated: Flexible career paths based on transferable skills are the future.

* Leadership drives change: True transformation in hiring practices requires bold decisions beyond tech implementation.

Conclusion:

This AI-powered episode demonstrates the potential of using AI for content creation while also showing its limitations. AI did a great job providing structure and highlighting key points, but human oversight remains essential to ensure deeper exploration and address the human factors that technology alone can’t fully capture. Skills-based hiring requires more than AI—it needs leaders willing to rethink and redesign hiring practices with empathy and inclusivity in mind.

Please listen and share your thoughts on how these robots did exploring the issues and drawing meaningful conclusions!

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com

  continue reading

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