EP 1. Solving the AI Diversity Problem with Paul van der Boor of Prosus Group/Data Science for Social Good episode artwork

EPISODE · Feb 19, 2021 · 44 MIN

EP 1. Solving the AI Diversity Problem with Paul van der Boor of Prosus Group/Data Science for Social Good

from Stories From the Field · host Firefly Inclusion Solutions

AI and Machine learning continue to receive tons of interest and scrutiny, especially in the DEI and talent management fields. That’s why we were thrilled to meet data science expert Paul van der Boor during a recent Firefly leadership training session at  Prosus Group in Amsterdam, NE. As a senior data science director there as well as a co-founder and board member of the Data Science for Social Good Foundation, in this episode Paul helps us shed light on the AI and machine learning field to encourage more understanding for those of us pursuing fairness and equitable treatment across all decision processes.LEARNING HIGHLIGHTS FROM THIS EPISODE: How AI is currently used in talent systems - and its limitations Putting checks and balances into the system - how do we define "fairness"? Understanding data as a representation of people The importance of transparency - knowing where &  why AI is being implemented in systems A call to action for the DEI community A call to action for the AI/Data Science/Machine Learning communityEPISODE WEBSITE W/ RESOURCES, GUEST BIO & FULL TRANSCRIPT:http://www.fireflyinclusion.com/news-notes/2020/stories-from-the-field-ai-people-paul-van-der-boorFIREFLY INSTAGRAM: https://www.instagram.com/fireflyinclusion/FIREFLY LINKEDIN: https://www.linkedin.com/company/firefly-inclusion-solutions/ To hear more, visit fireflyinclusion.substack.com

AI and Machine learning continue to receive tons of interest and scrutiny, especially in the DEI and talent management fields. That’s why we were thrilled to meet data science expert Paul van der Boor during a recent Firefly leadership training session at  Prosus Group in Amsterdam, NE. As a senior data science director there as well as a co-founder and board member of the Data Science for Social Good Foundation, in this episode Paul helps us shed light on the AI and machine learning field to encourage more understanding for those of us pursuing fairness and equitable treatment across all decision processes.LEARNING HIGHLIGHTS FROM THIS EPISODE: How AI is currently used in talent systems - and its limitations Putting checks and balances into the system - how do we define "fairness"? Understanding data as a representation of people The importance of transparency - knowing where &  why AI is being implemented in systems A call to action for the DEI community A call to action for the AI/Data Science/Machine Learning communityEPISODE WEBSITE W/ RESOURCES, GUEST BIO & FULL TRANSCRIPT:http://www.fireflyinclusion.com/news-notes/2020/stories-from-the-field-ai-people-paul-van-der-boorFIREFLY INSTAGRAM: https://www.instagram.com/fireflyinclusion/FIREFLY LINKEDIN: https://www.linkedin.com/company/firefly-inclusion-solutions/ To hear more, visit fireflyinclusion.substack.com

NOW PLAYING

EP 1. Solving the AI Diversity Problem with Paul van der Boor of Prosus Group/Data Science for Social Good

0:00 44:30

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of Stories From the Field?

This episode is 44 minutes long.

When was this Stories From the Field episode published?

This episode was published on February 19, 2021.

What is this episode about?

AI and Machine learning continue to receive tons of interest and scrutiny, especially in the DEI and talent management fields. That’s why we were thrilled to meet data science expert Paul van der Boor during a recent Firefly leadership training...

Can I download this Stories From the Field episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!