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Listen "Martha Curioni - How to Responsibly Integrate AI into HR "
Episode Synopsis
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Martha Curioni, People Analytics Consultant at Provisio Data Solutions, joins us this episode to discuss some best practices for responsible AI implementation in organizations. She also explains the importance of integrating AI models into existing processes and allowing users to submit feedback on the AI.
[00:00] Introduction
Welcome, Martha!
Today’s Topic: How to Responsibly Integrate AI into HR
[05:33] What does “responsible AI implementation” mean?
Intersection with data security and privacy
Data governance regarding new AI processes
[14:30] What are the essential steps for responsible AI implementation?
Redesign HR processes around the newly implemented AI
Checking that the new AI is accurate and reliable
[26:59] How can organizations avoid training AI models on bad data?
Building unbiased AI systems
Implementing user feedback mechanisms
[35:33] Closing
Thanks for listening!
Quick Quote
“Companies need to ensure that the AI they’re going to be using is implemented in a way that is transparent, minimizes the influence of bias, supports fairness, and empowers employees and managers to make better decisions.”
Resources:
Martha's previous episode
Github account
Contact:Martha's LinkedInDavid's LinkedInDwight's LinkedInPodcast Manager: Karissa HarrisEmail us!Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting
For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/
Produced by Affogato Media
Martha Curioni, People Analytics Consultant at Provisio Data Solutions, joins us this episode to discuss some best practices for responsible AI implementation in organizations. She also explains the importance of integrating AI models into existing processes and allowing users to submit feedback on the AI.
[00:00] Introduction
Welcome, Martha!
Today’s Topic: How to Responsibly Integrate AI into HR
[05:33] What does “responsible AI implementation” mean?
Intersection with data security and privacy
Data governance regarding new AI processes
[14:30] What are the essential steps for responsible AI implementation?
Redesign HR processes around the newly implemented AI
Checking that the new AI is accurate and reliable
[26:59] How can organizations avoid training AI models on bad data?
Building unbiased AI systems
Implementing user feedback mechanisms
[35:33] Closing
Thanks for listening!
Quick Quote
“Companies need to ensure that the AI they’re going to be using is implemented in a way that is transparent, minimizes the influence of bias, supports fairness, and empowers employees and managers to make better decisions.”
Resources:
Martha's previous episode
Github account
Contact:Martha's LinkedInDavid's LinkedInDwight's LinkedInPodcast Manager: Karissa HarrisEmail us!Production by Affogato Media
To schedule a meeting with us: https://salary.com/hrdlconsulting
For more HR Data Labs®, enjoy the HR Data Labs Brown Bag Lunch Hours every Friday at 2:00PM-2:30PM EST. Check it out here: https://hrdatalabs.com/brown-bag-lunch/
Produced by Affogato Media
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