What stage is most crucial in removing AI/Machine Learning bias?

Culture & ValuesMachine Learning (ML)

Before data collection41%

When collecting data43%

When analyzing collected data15%

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IT Manager in Construction2 years ago

As data analyst, all of them. Take in mind also the number and typologies of features.

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Participating in upstream open source communities12%

Delivering K-12 STEM education programs33%

Highlighting how open source principles are being used outside of software23%

Supporting diversity and inclusion initiatives within the tech industry20%

Facilitating hackathons that contribute to solving real world problems7%

Providing financial support to charitable organizations3%

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Once a week37%

Once every 2 weeks43%

Once a month13%

Adhoc4%

What 1-on-1?1%

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What stage is most crucial in removing AI/Machine Learning bias? | Gartner Peer Community