Also, if you notice a pattern of certain women who are very concerned about “cancel culture”, these are often women whose income, power, position comes from those men who avoid/fear accountability.
There is no reason to be afraid of women if one already was doing the right thing. Have good ethics yourself and have a good radar for that yourself. I have NEVER had problems with male mentors as we align on values/mission first. We work through trust.
If you are playing a dirty game or don’t have standards to who you hire, do business with, etc (or no standards to own behavior), yeah, I get why you are paranoid.
Drain your own swamp then.
Not all women are pawns in a man’s game like:
Be a man who has ethics, standards, & genuine respect for confident, intelligent women & associate with women who have a sense of agency & dignity. Then no need to be afraid. Avoid playing hero role to “damsel in distress” or seeing mentee as “daughter.” Stay professional.
I do think that #womeninleadership conferences & spaces need to also coach better on how communicate effectively. Much of it seems to work for women to feel seen & heard by each other without necessarily delivering effective results needed in the real world, is my observation.
When we say privilege what is often meant is lack of barriers certain others face.
And “male privilege” can’t be talked about without an intersectional lens for very real race issues in America - there is a very disturbing role of women in white supremacy.
It’s complicated.
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(Deleted tweets cuz the posted link was wrong - gah. I hate deleting tweets but the meaning totally changed.)
What I threaten is the power differential in #healthcare -by my identity & work - all bullying is about power first & foremost. Yes, I threaten bullies & their sidekicks. I open, expand, include vs paranoia to exclude, block.
Important to keep in mind that #AI is made by humans. Our flaws and biases get encoded and amplified. We need the right diversity of people at the table to design and implement #ArtificialIntelliegence and #ML. #humancentereddesign for all of humanity. #design
Who determines definitions, labels of #data cut offs? Too often we get all nerdy on which variables & factors in the model. But are we even using the right data? #tech#technology types might consider reading Maya Angelou & Toni Morrison and others to think outside the box #AI
Example: many people are interested in #SDoH#socialdeterminantsofhealth & #data for it.
Who has existing large #databases?
Banks
Banks are traditionally risk averse, block/exclude those who are labeled high risk
So can their data improve health equity?
Not only experience, which is important, but clinical #research does not parse out the Japanese man or woman from the South Asian man or woman on heart disease risk, epidemiology, treatment.
I would like to point out I was already following him & had watched all his videos, long before he got the 7 million views, record deal, or noticed by Kermit or Andrew Lloyd Webber
Those of us who affirmed our own agency and power by learning from and with our moms. My mom’s stories are her own but she and I together have unpacked many cultural myths to learn better self compassion, willingness to identify racism, less perfectionism.
💪🏽💪🏻💪🏿 @DrvanTilburg
This is a type of trauma many WOC/POC experience. My mom’s hair is extremely thick, textured. I recall her being very fixated on making sure her own hair & our hair was always incredibly neat.
More recently I’ve come to understand this matches an experience of having black hair.