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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 LinkedIn
David's LinkedIn
Dwight's LinkedIn
Podcast Manager: Karissa Harris
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Produced by Affogato Media