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Tim Sackett - HR Tech 2024 - How AI Eliminates Bias in Recruitment

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Manage episode 447825950 series 2798463
Content provided by David Turetsky. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Turetsky 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.

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

225 episodes

Artwork
iconShare
 
Manage episode 447825950 series 2798463
Content provided by David Turetsky. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Turetsky 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.

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

225 episodes

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