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David Turetsky द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री David Turetsky या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal
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Tim Sackett - HR Tech 2024 - How AI Eliminates Bias in Recruitment

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Manage episode 447825950 series 2798463
David Turetsky द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री David Turetsky या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

Send us a text

Tim Sackett is an HR Technology Analyst, a Top 10 Global HR Influencer, and the President of HRU Technical Resources. In this episode, Tim discusses the state of recruiting and applicant tracking systems, and how he thinks AI could help organizations not just scale their recruiting efforts but also eliminate biases. He also addresses some security concerns organizations have with integrating AI into their recruitment systems.

This conversation took place at the HR Tech 2024 conference in Las Vegas.
[0:00] Introduction

  • Welcome, Tim!
  • Today’s Topic: The Evolution of Recruitment and Application Tracking Systems

[4:50] How is recruiting technology evolving?

  • How some HR tech startups are looking to solve recruitment issues
  • Why many HR tech startups seem to offer similar products

[12:01] Have there been noteworthy developments in recruiting technology?

  • Why AI is not as biased as people think
  • How voice AIs could humanize the recruitment process

[20:03] How can organizations avoid AI safety and security pitfalls?

  • The limits of public LLMs vs. the possibilities of private LLMs
  • Best practices for ensuring security and data safety when adopting AI

[32:26] Closing

  • Thanks for listening!

Quick Quote

“We had this concept a year ago—maybe two years ago—where [we thought] ‘the technology is more biased than humans,’ and it was wrong . . . I truly believe the closest we’ll come to bias-free hiring is the use of AI in sourcing and screening.”
Resources:
Tim's website
Contact:
Tim's LinkedIn
David's LinkedIn
Dwight's LinkedIn
Podcast Manager: Karissa Harris
Email us!
Production by Affogato Media

  continue reading

196 एपिसोडस

Artwork
iconसाझा करें
 
Manage episode 447825950 series 2798463
David Turetsky द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री David Turetsky या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

Send us a text

Tim Sackett is an HR Technology Analyst, a Top 10 Global HR Influencer, and the President of HRU Technical Resources. In this episode, Tim discusses the state of recruiting and applicant tracking systems, and how he thinks AI could help organizations not just scale their recruiting efforts but also eliminate biases. He also addresses some security concerns organizations have with integrating AI into their recruitment systems.

This conversation took place at the HR Tech 2024 conference in Las Vegas.
[0:00] Introduction

  • Welcome, Tim!
  • Today’s Topic: The Evolution of Recruitment and Application Tracking Systems

[4:50] How is recruiting technology evolving?

  • How some HR tech startups are looking to solve recruitment issues
  • Why many HR tech startups seem to offer similar products

[12:01] Have there been noteworthy developments in recruiting technology?

  • Why AI is not as biased as people think
  • How voice AIs could humanize the recruitment process

[20:03] How can organizations avoid AI safety and security pitfalls?

  • The limits of public LLMs vs. the possibilities of private LLMs
  • Best practices for ensuring security and data safety when adopting AI

[32:26] Closing

  • Thanks for listening!

Quick Quote

“We had this concept a year ago—maybe two years ago—where [we thought] ‘the technology is more biased than humans,’ and it was wrong . . . I truly believe the closest we’ll come to bias-free hiring is the use of AI in sourcing and screening.”
Resources:
Tim's website
Contact:
Tim's LinkedIn
David's LinkedIn
Dwight's LinkedIn
Podcast Manager: Karissa Harris
Email us!
Production by Affogato Media

  continue reading

196 एपिसोडस

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