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

Monday, October 24, 2022

from un summit june 2022

 13:30-15:00 Room VIII

Towards a Coalition for Action on Digital Public Resources

for Education

UNICEF, Executive Office of the Secretary-General, Government of Singapore,

EdTech Hub, UNESCO, AT4 Members

The meeting is a deep dive into the recommendation of the Digital Learning

TES background paper on the need for free, high quality digital learning

resources. The main objective of the meeting is to determine the way forward

for a ‘Coalition for Action’ on Digital Public Resources for Education: moving

from policy and plans to implementation, and addressing key bottlenecks that

have hindered progress thus far.

This meeting is a deep dive into the recommendation of the Digital Learning

TES background paper on the need for free, high quality digital learning

resources. The main objective of the meeting is to determine the way forward

for a ‘Coalition for Action’ on Digital Public Resources for Education, moving

from policy and plans to implementation, and addressing key bottlenecks that

have hindered progress thus far. Digital technologies in education can

contribute to wider systemic efforts to improve learning for all and help address

the learning crisis, which has been greatly exacerbated by the pandemic.

Digital public resources for education in particular can decrease the cost of

education, and catalyse more equitable, collaborative and effective approaches

to teaching and learning. However, while much progress has been made over

the past 20 years towards advancing this agenda, huge gaps remain - for

example, the dearth of freely accessible, public educational resources such as

reading books or videos in most of the world’s languages, and tools which

promote more active and collaborative teaching, learning and problem-solving.

Objectives

Establish a Coalition for Action on Digital Public Resources for Education,

to move from policy to action and implementation, and address the key

bottlenecks that have hindered progress. This Coalition will include

Champion Countries, as well as international organisations and experts

working in this area.

Reflect on progress to date, and discuss how the key bottlenecks can be

addressed. This would build upon previous work including the international

standard-setting instruments adopted by UN agencies and Member States.

Identify a set of realistic goals for Digital Public Resources. How can we

collaborate to address the gap in availability of openly licensed, high

quality literacy, numeracy and science resources across different

languages, as well as collaborative learning and teaching tools?

Speakers: Dr Leonardo Garnier, SG Special Adviser, Transforming Education

Summit; Mr Siew Hoong Wong, Advisor, Ministry of Education, Singapore; HE Dr

Tariq Al Gurg, CEO, Dubai Cares; Robert Jenkins, UNICEF Director of Education

and Adolescent Development; Dr Sobhi Tawil, Director Future of Learning and

Innovation, UNESCO; Ms Precious Agaecheta, Youth Ambassador, ONE

Campaign; African Union; GenU; Mr Taha Bawa, Co-founder and CEO of

Goodwall, Forbes 30 Under 30, World Economic Forum Global Shaper; Ms

Urmila Sarkar, Global Head of Programmes, Generation Unlimited; Dr Cable

Green, Director of Open Knowledge, Creative Commons; Ms Purvi Shah, Sr.

Director, StoryWeaver & Strategy at Pratham Books; Ms Rebecca McDonald,

Founder and CEO, Library For All; Mr Christer Gunderson, CTO, Global Digital

Library; Ms Verna Lalbeharie, Executive Director, EdTech Hub; Dr Frank van

Cappelle - Global Lead, Digital Learning, UNICEF

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