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
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, July 6, 2022

 For followers of  peer networks gravitated by Von Neumann's Intel that 100 times more tech per decade 2035 back for 1935 would either end in sustainability for all or none of human species (systems/chaos maths just doesn't spiral to some middle ground by mathematical definition) its joyful that AI for good is the centrepiece of the 9 interlocking ways forward Engineer Guterres has designed into digital roadmapping UN2.0 the brand that needs to lead the world's collaborative and effectiveness rankings

Fuller library of how UN evolved from SDGs to UN2.0 digital roadmapping since 2015 is here

UN2.0 is not just a benchmark for UN but all govtech and open society

AI is multiplying out of at least 50 practice services of the UN such as the FAO's food or the WHO's health but its deepest exponentials are multiplying out of Geneva ITU (back in 1865 the world's most collaborative brand as nobody wanted 2 telegraph standards or telecoms or satellite telecoms or ...) and 3 new headquarters focused teams in ny all closely clustered around Guterres - tech envoy, deep data's global pulse, OC - lot longer tour at our world record jobs briefing on Guterres- BELOW ARE glimpses of aIforgood tours 24/7/365 massively openly online cooperated out of Geneva  with extra commentary from wikipedia

AI for Good is a year round digital platform of the United Nations, where AI innovators and problem owners learn, discuss and connect to identify practical AI solutions to advance the UN SDGs. The impetus for organizing global summits that are action oriented, came from existing discourse in artificial intelligence (AI) research being dominated by research streams such as the Netflix Prize (improve the movie recommendation algorithm).[1] AI for Good aims to bring forward Artificial Intelligence research topics that contribute towards more global problems,[2][3] in particular through the Sustainable Development Goals. AI for Good came out of the AI for Good Global Summit 2020 which had been moved online in 2020 due to the COVID-19 Pandemic. AI for Good is organized by the Standardization Sector of ITU (ITU-T). Since moving online, AI for Good developed into three main programme streams: Learn, Build, and Connect. AI for Good also helps organize ITU's Global Standards Symposium.. In 2022 this as moved the "Neural Network" platform.[4] Speakers include:[5]

Global Summit 2019[edit]

The third AI for Good Global Summit took place from 28 May to 31 May, and gave rise to the ITU Focus Group on Artificial Intelligence for Autonomous and Assisted Driving with several workshops and VIP events having taken place on May 27.[6] Some of the speakers included:

Global Summit 2018[edit]

World Health Organization Director-General Tedros Adhanom (right) and ITU Secretary-General Houlin Zhao (center)

The second AI for Good Global Summit took place from 15 to 17 May 2018 at the ITU headquarters in GenevaSwitzerland and generated 35 AI project proposals[7] including the ITU-WHO Focus Group on Artificial Intelligence for Health with the World Health Organization.[8][9][10] Speakers included:[11]

The ITU also relaunched its Journal ICT Discoveries during the 2018 Global Summit, with the first edition being a special on Artificial Intelligence.[12]

Global Summit 2017[edit]

Fei-Fei Li speaking at AI for Good 2017

The first AI for Good Global summit took place from 7 to 9 June 2017. Speakers at the event included:[13] [14]

One of the outcomes of the 2017 Global Summit was the creation of an ITU-T Focus Group on Machine Learning for 5G.

Related applications[edit]

Several similar terms have been used to describe related applications of AI to global issues. These include "AI for Earth", referring specifically to environmental applications;[15][16] "Humanitarian AI", referring to applications for humanitarian ends;[17][18] and "AI for Healthcare".[19]

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