When we look at women who are helping intelligence regenerate what the younger half of the world needs most to be sustainable we can broadly map 4 groups:

1 The world's most influential women who have since 2012 recognised breakthrough in AI (Artificial Intelligence) supporting humans - human centric AI or HAI for short.

2 those who helped AI become a breakthrough for humanity from 2012 not juts  big digital company's private algorithms

3 influential women who have been investing in other technologies but now see that ai is increasingly in the middle of all technologies- for example it wasn't until around 2022 that AI alphafold2 gifted biotechnologists and related disciplines maps of natures 250 million proteins- some say this would traditionally have take a billion years of phd work

4 women who are celebrated for one thing -eg world famous sportstars, popstars - but also have a mission for humanity

; actually AI is also able to give back huge amounts of leading edge knowhow to young women on mental or physical health; this is because Ms Clara Wu Tsai the main sponsor of neuroscience labs at stanfird and yale also owns women basket ball teams and givers brooklyns bartclay centre- she has for long been interested in some key differences in young women performance development which previously were diluted by mainly studying male data at world class performance levels. Recently Clara was also elected to the main trustee board of stanfird further evidence of her work as a super collaborator https://news.stanford.edu/report/2021/11/16/clara-wu-tsai-elected-stanford-board-trustees/

Among well known Western philanthropists nobody connects all four of the above AI Very Good rationales quite like Melinda Gates. This is because she has been supporting those in the middle of human ai breakthough since 2014 by co-founding an NGO platform ai-4-all with Fei-Fei Li with arguably the most successful coroporate leader of the last decafe nvidia's ceo jensen huang.

Gates went on with Fei-Fei Li to help UN design transformations to its organisation wherever partners seriously aimed to progress SDGs. And Li used the ai-4-all platform to testing to congress that the superchats were coming and the biggest national advantage/disadvantage would depend on how much prep govs did for this

A year later after 18 months as chief scientist at Google Cloud, Stanford asked Fei-Fei Li to launch HAI- effectively offering any discipline the opportunity to blend its AI future. Ang Gates asked Fei-Fei Li to contribute a book rin her offprint of deepest changes to women empowerment ever.https://www.momentoflift.com/books

Gates has also been an active participant in celebrating the best news of the otherwise sad year of 2001. Effectively Silicon Valley had never really hosted a series on best solutions since 1970 of women empowering the end of poverty

Comparing womens views of world mediated by womens intelligence seems humanity's last best chance - consider these 3 womens views plus japans where unlike old wester nations we can see an elders world view that still values a nation's youth as its greatest asset and attempts to use the sdgs as combinatorial codes

Legend : Fei-Fei Li's

AI-4-ALL =trasform edu as to how teachers and students and everyone improves each others intelligences

IMAGENET AI -triaining computer vision has changed coding so machines can directly advise (or in robots case work) on innovation/productivity/sdg challenges of 20000 entities that humans work, play and build the world with; in 2012 it was this 20 million databank that woke up society to AI as humans best partner in millennials futures as well as breaking through academic silos which had made education unfit for purpose "Antonio Guterres"

Nature AI - Mathematicians and foundational scientists (eg those finding cures to viruses!) need to work at nature's nanotech level of systems maps - alpafol2 may have saved humans from a billion years of research time in open sourcing 250 million proteins probably greatest single biotech leap courtesy google brain and Hassabis deepmind

LARGE LLM REALITY -how we design large language mediation models is our last chance after 25 years of designing hatred spinning and ever faker media

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Abedmooc.com In 2001 Fazle Abed (deep epicentre of advancing millennuium goals) on behalf of billion poorest Asian village mothers shared with silicon valley 30 years of progress on business design and cvomunnnity building sgds 53421 by poorest mothers She-too*HealthEducatin(leadership0Food Finance. Asked for partners support needed over next 20 years now that womens communities were starting to test solar and mobile Abed clarified 3 transformatiosn whoich vilage communitiesd cant make on their own but hope intelliugence will include them in

going green in reality and in livelihood design

designing win-win trade infrastructiure connecting girls and youth - notably in term of histriry's ciolonia accidents bangladesh and myanmar had been left our of world trade being partitioned between china insia and rest of continental asean

transition 3 needed to chnage peace and stewardsjhip oof ocean, land and climate

Abed's life experiemce was unique in world of those on earth between 1936-2019; he'd assigned 50 years to helping the 90% of rural women build new nation of bangladesh having previously narrowly escaped assassination by his employer as regional ceo for Royal Dutch Shell and the west Pakistan occupying army. Its interesting that over these 50 yrears the Royal Damilies of UK and Netherlands became his biggest innovation supporters particularly if you map colonial histiry where it was these 2 countries who between 500 and 1945 (especially adter Brits were shunned by americans desined investment inclusion and exclusion across the continent of Asia

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From condoleeza experience of supporting stanfird students to contribute tech policymakers most need to value expoential change with - her lenses appear to be

10 techs changing world most

dialogues between all who shape future policy given age we live in of up to 1000 times more tech per decade

keeping finance real for 8 billion hyumans to develop round

making sure girls youth colred and poor are included