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.
I did not know existence of the #glasscliff until after I was already flying off of it - unintentionally pushed off/pulled down by the people “below” assuming I had power & resources
My servant leader mindset: not focused on first securing my own self
In fact, when a woman/WOC attains title or optics of power (only optics as is always conditional thus not actual power), while also often paid less, what she does earn is resentment.
Having #ethics means saying things hard to hear which causes blowback:
I understand what it means to live under seige from living in a literal war zone - my dad’s job was in the Middle East - our seemingly idyllic safe home because scary overnight
THAT is the mindset I need to have when navigating my career & white spaces figuratively, or literally
(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
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: