Reading Brett Gary’s “The Nervous Liberals” from twenty-one years ago. Actually I was perusing my way through unexpected downtime when I started leafing through it and a phrase caught my eye at the top of page 183… ‘the handful of private communications intelligence projects sponsored by the Rockefeller Foundation’. Curious fellow am I so into it I went through a search engine not named google where I fat fingered the ‘r’ in private into a ‘t’ and out came eight results:

https://www.rockefellerfoundation.org/report/ai1-shaping-our-integrated-future/ Our direction(s)

https://www.rockefellerfoundation.org/news/worlds-first-collaborative-fund-to-correct-gaps-and-biases-in-data-for-artificial-intelligence-launches-today/ Stretch your imagination’ Western Civilization, Somalian hammer and tong time approaches.

https://www.rockefellerfoundation.org/wp-content/uploads/2020/07/AI1-Shaping-Our-Integrated-Future.pdf A notebook of ideas. Now where did we hear that before? A few lines from that RF site:

There are many areas where governance frameworks and international agreements about the use of artificial intelligence (AI) are needed.

For example, there is an urgent need for internationally shared rules governing autonomous weapons and the use of facial recognition to target minorities and suppress dissent. Eliminating bias in algorithms for criminal sentencing, credit allocation, social media curation and many other areas should be an essential focus for both research and the spread of best practices.

…Enter machine learning. In a traditional approach to building an algorithmic system for recognizing and sorting data, the programmer identifies the attributes to be examined, the acceptable values and the action to be taken. (The combination of an attribute and its value is often called a feature
of the data.) Using a machine-learning approach, a system is shown many, many examples of good and bad data in order to train a model of what good and bad looks like.

The programmer may not always know entirely what features of the data the machine-learning model is relying on; the programmer knows only that it serves up results that appear to match or exceed human judgment against a test data set. Then the system is turned loose on real-world data. After the initial training, the system can be designed to continue to learn.

I’m pretty sure if the programmer doesn’t know what to expect from say, a robotized dog or soldier, I wouldn’t want it to be turned loose, model or not.

https://www.rockefellerfoundation.org/news/rockefeller-foundation-establishes-atlas-ai-new-startup-generate-actionable-intelligence-global-development-challenges/ Atlas, map poverty.

https://www.rockefellerfoundation.org/blog/designing-responsible-ai-future/ Atlas, balance nearby wealthy sectors to match the poverty you mapped.

https://www.rockefellerfoundation.org/blog/mapping-an-ai-future/ Man Triumphant! Oy, finally!

Many of our social rituals and legal rules are based on commonly agreed definitions of personal rights, corporate law and who ultimately bears responsibility for individual and societal well-being. These enshrined relationships of power and justice that reflected the realities of their day are threatened today due to ongoing technological adaptation.

Given the already apparent disruption of these fundamental ideas, the rapid pace of technological and societal change and the inability of our current rule-making systems to keep up, what are the mechanisms by which we can proactively shape a new set of rituals and rules to help us prepare for and wring more societal value from a technology-enhanced society?

https://www.rockefellerfoundation.org/video/whats-at-stake-for-equity-in-the-ai-revolution-trooper-sanders/ Sorry, without God there is no answer. Without Jesus there is no way.

https://www.rockefellerfoundation.org/blog/a-bretton-woods-for-ai-ensuring-benefits-for-everyone/

…We benefit from intelligence when it helps us find a vaccine. But we also suffer from intelligence when it uses the crisis to advance polarized political goals. In each case, there is a blend of human and artificial intelligence at work. The crisis is accelerating the integration of AI in every aspect of our lives. How we manage AI’s role in addressing the crisis and managing our recovery will define our next era…

The crisis is man-made by politicians following technocrat instructions. Think about it just a little. They tell you COVID-19 created the problem but you don’t want to one day say to yourself “My God! What have I done?”

But wait! There’s more!

I corrected the fat finger mistake, hit enter and was awarded with pages and pages of mediocre returns. I put the fat fingered ‘t’ back moved into the images category and goodness gracious a whirlpool of good and evil. I settled on https://hive.blog/hive-122315/@libertyacademy/part-5-the-gavi-alliance-of-the-expose-billgates-covid-19-id2020-who-cdc-bigpharma-gavi-rockefeller-connecting-the-dots cause they sounded like my kind of people.

Enjoy.