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

Before data collection41%

When collecting data42%

When analyzing collected data16%

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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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Budget25%

Security19%

Compliance7%

Culture6%

Time6%

Talent gap15%

Integration3%

Reliability2%

Buy-in from management8%

Insufficient data4%

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Too much work, hard to find support to cover31%

Saving time for something better or unknown38%

Costs too much, don't have enough money32%

Feel guilty or ashamed27%

Discouraged by boss22%

Fear of being replaced or impacting career progression21%

Fear of missing out19%

Unable to fully disconnect18%

Too complicated to request time off6%

Taking time to make a good plan to spend time off8%

Creates more work for me later, not energizing8%

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