๐๐๐น๐๐๐ฟ๐ฎ๐น ๐๐ฎ๐ฟ๐ฟ๐๐ผ๐๐ฒ๐ฟ: ๐ง๐ต๐ฒ ๐๐ถ๐ฑ๐ฑ๐ฒ๐ป ๐๐ป๐ฝ๐๐ ๐ก๐ผ ๐๐ ๐๐๐ฑ๐ถ๐ ๐ช๐ถ๐น๐น ๐๐ฎ๐๐ฐ๐ต
Originally published on LinkedIn.ย ย
A few days ago, I was preparing a short reflection for my church - youโll see a clip below - where we set aside time to pray for womenโs safety, dignity, and flourishing.
India's National Crime Records Bureau reports roughly one crime against a woman every minute. More than 30% are categorized as "cruelty by husband or relatives."
Not by strangers. Not in dark alleys.
Inside homes.
Culture doesn't stay at home. It commutes, even into our workplaces.
In many families, boys grow up with freedom to explore and fail, whereas most girls grow up with questions, caution, and need for permission. Over time, those experiences don't disappear. They become instincts.
Who speaks first in a meeting.
Who negotiates.
Who raises their hand for the role they're not quite ready for.
An internal Hewlett-Packard study - later highlighted in Harvard Business Review by Tara Sophia Mohr - found something that has stayed with me:
Men often apply for roles when they meet around 60% of the qualifications.
Many women apply only when they meet nearly all of them.
Same talent pool.
Wildly different thresholds for believing they belong.
This isn't a capability gap.
It's a confidence tax - levied long before anyone walked through the office door.
I call this ๐๐๐น๐๐๐ฟ๐ฎ๐น ๐๐ฎ๐ฟ๐ฟ๐๐ผ๐๐ฒ๐ฟ - when the conditioning we absorb growing up quietly becomes the design of our organizations, without anyone choosing it, without anyone noticing.
It doesn't announce itself. It just shapes who gets seen, who gets promoted, who gets called leadership material.
And then we build AI on top of it.
AI doesn't invent bias.
It scales whatever patterns are already embedded in human decisions - every hiring dataset, every performance review, every promotion pattern, every meeting where someone didn't speak and no one noticed. All of it becomes input.
๐๐๐๐๐ ๐ข๐๐๐ฃ๐จ ๐๐ ๐ฌ๐ ๐๐๐ซ๐๐ฃ'๐ฉ ๐๐ญ๐๐ข๐๐ฃ๐๐ ๐ฌ๐๐๐ฉ'๐จ ๐๐ก๐ง๐๐๐๐ฎ ๐ง๐ช๐ฃ๐ฃ๐๐ฃ๐ ๐ฆ๐ช๐๐๐ฉ๐ก๐ฎ ๐๐ฃ ๐ค๐ช๐ง ๐ค๐ง๐๐๐ฃ๐๐ฏ๐๐ฉ๐๐ค๐ฃ๐จ, ๐ฌ๐ ๐ฌ๐ค๐ฃ'๐ฉ ๐๐๐ฉ๐๐ ๐๐ฉ ๐๐ฃ ๐ฉ๐๐ ๐ข๐ค๐๐๐ก. ๐๐'๐ก๐ก ๐๐ช๐จ๐ฉ ๐ข๐๐ ๐ ๐๐ฉ ๐๐๐จ๐ฉ๐๐ง. ๐ฝ๐๐๐๐๐ง. ๐๐๐ง๐๐๐ง ๐ฉ๐ค ๐ฆ๐ช๐๐จ๐ฉ๐๐ค๐ฃ - ๐๐๐๐๐ช๐จ๐ ๐ฃ๐ค๐ฌ ๐๐ฉ ๐ก๐ค๐ค๐ ๐จ ๐ก๐๐ ๐ ๐ข๐๐ฉ๐.
Responsible AI isn't only a technical challenge.
It's a leadership challenge.
A governance challenge.
A culture challenge.
I started that Sunday wanting to offer a moment of prayer.
I left with a question I haven't been able to shake:
๐๐ ๐ฉ๐๐ ๐ฅ๐๐ฉ๐ฉ๐๐ง๐ฃ๐จ ๐ฌ๐'๐ซ๐ ๐ฃ๐ค๐ง๐ข๐๐ก๐๐ฏ๐๐ ๐๐ฃ๐จ๐๐๐ ๐ค๐ช๐ง ๐๐ค๐ข๐๐จ ๐จ๐๐๐ฅ๐๐ ๐ฉ๐๐ ๐๐ฃ๐จ๐ฉ๐๐ฃ๐๐ฉ๐จ ๐ฌ๐ ๐๐๐ง๐ง๐ฎ ๐๐ฃ๐ฉ๐ค ๐ค๐ช๐ง ๐ค๐ง๐๐๐ฃ๐๐ฏ๐๐ฉ๐๐ค๐ฃ๐จ - ๐ฌ๐๐๐ฉ ๐๐ง๐ ๐ฉ๐๐ค๐จ๐ ๐ค๐ง๐๐๐ฃ๐๐ฏ๐๐ฉ๐๐ค๐ฃ๐จ ๐ฃ๐ค๐ฌ ๐ฉ๐๐๐๐๐๐ฃ๐ ๐ฉ๐๐ ๐จ๐ฎ๐จ๐ฉ๐๐ข๐จ ๐ฌ๐'๐ง๐ ๐๐ช๐๐ก๐๐๐ฃ๐?
We don't just need better algorithms.
We need the courage to look at what we're feeding them.
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