>3/18 24: Similarities between Electronic Computers and the Human Brain: Thank you Jensen Huang for best week of Learning since John Von Neumann shared with The Economist 1956 notes Computer & The Brain
HAPPY 2024: in this 74th year since The Economist started mediating futures of brainworking machines clued by the 3 maths greats NET (Neumann, Einstein, Turing) people seem to be chatting about 5 wholly different sorts of AI. 1BAD: The worst tech system designers don't deserve inclusion in human intel at all, and as Hoover's Condoleezza Rice . 2 reports their work is result of 10 compound techs of which Ai is but one. Those worst for world system designs may use media to lie or multiply hate or hack, and to perpetuate tribal wars and increase trade in arms. Sadly bad versions of tv media began in USA early 1960s when it turned out what had been the nation's first major export crop, tobacco, was a killer. Please note for a long time farmers did not know bac was bad: western HIStory is full of ignorances which lawyer-dominated societies then cover up once inconvenient system truths are seen. A second AI ecommerce type (now 25 years exponential development strong) ; this involves ever more powerful algorithms applied to a company's data platform that can be app'd to hollow out community making relatively few people richer and richer, or the reverse. You can test a nation's use of this ai by seeing if efinance has invested in the poorest or historically most disconnected - see eg bangladesh's bklash, one of the most populous digital cash systems . Digital money is far cheaper to distribute let alone to manually account for so power AI offers lots of lessons but whether its good or not depends in part on whether there are enough engineers in gov & public service to see ahead of what needs regulating. There are 2 very good ai's which have only scaled in recent years that certainly dont need regulating by non engineers and one curious ai which was presented to congress in 2018 but which was left to multiply at least 100 variants today the so-called chats or LLMs. Lets look at the 2 very good ai's first because frankly if your community is concerned about any extinction risks these AI may most likely save you, One I call science AI and frankly in the west one team is so far ahead that we should count ourselves lucky that its originator Hassabis has mixed wealth and societal growth. His deep mind merged with google to make wealth but open sourced the 200 million protein databank equivalent to a billion hours of doctorate time- so now's the time for biotech to save humanity if it ever does. Alongside this the second very good AI graviates around Fei-Fei Li) in developing 20 million imagenet database so that annual competitions training computers to see 20000 of the most everyday sights we humans view around the world including things and life-forms such as nature's plants and animals. Today, students no longer need to go back to 0.1 programming to ask computer about any of these objects; nor do robots or and autonomous vehicles - see fei-fei li's book worlds i see which is published in melinda gates Entrepreneurial Revolution of girl empowerment
EW::ED , VN Hypothesis: in 21st C brainworking worlds how people's times & data are spent is foundational to place's community health, energy and so natural capacity to grow/destroy wealth -thus species will depend on whether 1000 mother tongue language model mediates intelligence/maths so all communities cooperatively celebrate lifetimes and diversity's deep data ) . Check out "Moore exponential patterns" at year 73 of celebrating Game : Architect Intelligence (Ai) - players welcome .. some jargon

Wednesday, May 3, 2023

HUMAN-centred Artificial Intel - Stanford HAI 2016-23 -concept 16; launch 19; upd 23

Updates at HAI conversations  (ED compare UN Digital Cooperation SDGs  AIfrGood-016-23) N

 Launch of Stanford HAI  -Symposium 2019

We are at a pivotal moment in tech and history the emergence of ai has potential to radically change how we live our lives Stanford President Tessier; this tech has the potential to bring us closer to our shared dream of creating a better future for all of humanity; it will  also bring opportunities and challenges which we can not yet foresee Fei-Fei Li

Associate Directors

Russ Altman, the Kenneth Fong Professor and professor of bioengineering, genetics, medicine and biomedical data science; Susan Athey, the Economics of Technology Professor at the Graduate School of Business; Surya Ganguli, assistant professor of applied physics; James Landay, the Anand Rajaraman and Venky Harinarayan Professor and professor of computer science; Christopher Manning, the Thomas M. Siebel Professor in Machine Learning and professor of linguistics and computer science: and Robert Reich, the Marc and Laura Andreessen Faculty Co-Director of the Center on Philanthropy and Civil Society and professor of political science.

Now is our opportunity to shape that future, I am proud to introduce Stanford Human Centered AI President Tessier. At Stanford HAI our vision for the future is led by our commitment to promoting human centered a tech and applications; in order to train AI to benefit humanity, the creators of AI need to represent humanity. 

This requires a true diversity of thoughts across gender, age, ethnicity and cultural backgrounds as well as a diverse representation from different disciplines from engineering, robotics, statistics, to philosophy, economics, anthropology and many more FFL; the institute will harness Stanford’s collaborative and interdisciplinary sprit  ; across the university we aim to spark discovery by focusing diverse ways of discovery on common problems President T; I would like to see Stanford HAI be viewed as the natural hub for discussions about policy, best practices in AI, where the tech is going John Etchemendy; Stanford HAI is based on 3 principles: 1 a bet that the future of AI tech is going to be inspired by our understanding of human intelligence; the second is the technology has to be guided by our understanding of how it is impacting humans and society; and third AI applications should be designed to that they can enhance and augment what humans can do. Ai tech properly deployed can improve the quality of life of every individual on the planet whether we are talking about poverty disease, climate change even ageing. Susan Athey : AI has the potential to transform society at every level from individual decision-making and education to workers in the workplace making better decisions guided by AI. Being better trained and prepared as they grow in their careers to corporations being abled to use data more effectively to make better products and services; Prof Altman Altman  One of the great things about AI in medicine is we should be able to use both to identify disparities in healthcare and also rase the standard of healthcare for everybody; James landau: I like to think about it as intelligence augmentation rather than simply artificial intelligence so how can we use AI to make a writer be a belter writer or an artist be a more creative artist or make a teacher be a more empathetic and understanding teacher; Surya Ganguli: Our goal is to harness the design principles governing the human brain to build much more intelligent robust and energy efficient machines; Rob Reich in order to get AI thar delivers all of the benefits that so many people believe it can bring to humanity, it has to be developed in tandem with people who study the society and humanities so that it can he harnessed to serve the interests of humans rather than deployed to undermine them. Anyone who is developing artificial intelligence whether in the laboratory or applying it within industry ahs to put ethical questions at the forefront of their very work. Linda Schierbinger:Technology shapes society and society shapes technology; its very important that we get that feedback loop right. As the first generation to bring AI to the world at scale, we have a personal responsibility and opportunity to work together ad to guide this tech towards a better future for humanity

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