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If You Don’t Have Reproducibility You Don’t Have Anything

If You Don’t Have Reproducibility You Don’t Have Anything

by Daniel Jeffries | Jan 21, 2020 | Reproducibility

In this talk (slides here) by data scientist Suneeta Mall at Kubeflow Con, she talks about why reproducbility needs to gets much stronger in the coming years of AI development.  Without understanding, auditing and reproducibility, we got zero chance of fixing the wild...
Move Fast and Break Things? The AI Governance Dilemma

Move Fast and Break Things? The AI Governance Dilemma

by Ryan Dawson | Jan 7, 2020 | Explainable-AI, Reproducibility

AI is the future and there’s lots of money to be made from it. But organisations keep making the news over AI governance failings, such as Microsoft’s chatbot that turned racist and google images labelling African-Americans as gorillas. We’re seeing a growth of ethics...

Recent Posts

  • A Comprehensive Look at Approaches to Making Machine Learning Algorithms Fair
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  • Why Explainability is No Panacea
  • If You Don’t Have Reproducibility You Don’t Have Anything

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