Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell: GCPPodcast 114

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This week, we dive into machine learning bias and fairness from a social and technical perspective with machine learning research scientists Timnit Gebru from Microsoft and Margaret Mitchell (aka Meg, aka M.) from Google. They share with Melanie and Mark about ongoing efforts and resources to address bias and fairness including diversifying datasets, applying algorithmic techniques and expanding research team expertise and perspectives. There is not a simple solution to the challenge, and they give insights on what work in the broader community is in progress and where it is going.


Tayo Adesagba says:

This all reminds me of Minority report! When entertainment becomes reality?

Zaid Gebreslase says:

This has been great and in depth explanation from both Timnit and Margaret also great they shared resources

lakhan joshi says:

I am from india
Some golden words

If you say me, I will forget
If you show me, I will remember
If you include me, I will understand

And sir you are belonging to first line

sir I am respecting you, but sir I will say, you are wasting time

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