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OFFICIAL LAUNCH OF THE E-BOOK OF THE UNITED NATIONS CENTENNIAL “REMAKING THE WORLD – THE AGE OF GLOBAL ENLIGHTENMENT”

On May 27, 2021, the United Nations Academic Impact and Boston Global Forum will officially launch the e-book of the United Nations Centennial Book.

Mr. Ramu Damodaran, Chief of United Nations Academic Impact (UNAI) and co-Chair of BGF-UNAI Centennial Initiative, in honor of the United Nations 2045 Centenary, wrote introduction of the book:

“When my cherished friend Tuan Nguyen of the Boston Global Forum (BGF) and I spoke two years ago on how BGF and the United Nations Academic Impact (UNAI) could mark the 75th anniversary of the United Nations, his ever restless mind raced forward and asked “why not think of the UN at 100?” And so this centennial project began, bringing into its fold some of the finest minds of our times, minds that have anticipated the world we live in today, its terrain of rose and thorn, minds possessed of imagination and reason in looking a quarter century ahead. UNAI was privileged to publish a series of these articles on our website, curated by Tuan, reflecting its mission of being a movement of minds.

Had we embarked on such an exercise in 1995, could we have been better prepared for the extraordinary pace in which our world has moved since then? More particularly, could we have anticipated, and even created, the opportunities of collective, concerted global action, infused by the spirit of the United Nations, to protect us from dangers we foresaw and to seize the possibilities then dimly on horizon?
 
The United Nations came into being as a cerebral , as much as political, innovation , the very first resolution of its General Assembly, in the January of 1946, was on the “problems arising from the discovery of atomic energy.” 75 years later , in the January of 2021, Governor Michael Dukakis announced the “Artificial Intelligence International Accord Initiative” whose goal he described as “to stimulate a global conversation that will make sure AI is used responsibly by governments and the private sector around the world.” It is precisely conversations of that nature this volume, and BGF Roundtables over the past months, have fostered. Conversations that will continue in the quarter century ahead, shaping a world governed by international law and the exercise of international as much as individual, and indeed intellectual, responsibility (which UNAI seeks to foster) where the creativity and innovation of the human person work to shape a world worthy of our times just as surely as that world works to foster and further, in the phrase of our Charter, the “dignity and worth “of that human person.”

DIALOG BETWEEN EU, US, JAPANESE, AND AUSTRALIAN LEADERS ON REGULATION ON AI BY THE EU

The Boston Global Forum and the Michael Dukakis Institute wish to congratulates the EU Commission for the Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS”

Boston Global Forum and Michael Dukakis Institute introduced  this concept:  In 2017 we publicly framed and  pushed this initiative at AI World Society. It was warmly welcomed as the Initiative for G7 Summit in Canada in 2018.  We have also put forth the Social Contract for the AI Age on September 9, 2020.  And, in April 28, 2021, we made public a draft of Framework for AI International Accord on.

The Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS has generated wide public discussion. Boston Global Forum and World Leadership Alliance-Club de Madrid will co-organize a dialogue among EU, US, Japanese, Australian leaders, multinational technology company executives, and distinguished scholars at our joint Policy Lab on 22-24 June, 2021. The focus will be on Fundamental Rights in AI & Digital Societies: Towards an International Accord.  Several former Presidents and Prime Ministers -- members of Club de Madrid -- will attend this event.

The discussion will be open and frank, anchored in the constructive spirit of leaders and decision makers who seek to contribute to a solid legal foundation for an AI World Society.  We believe this AI World Society will be practical and comprehensive, as well as human centric. It will chart a new path for humanity in The Age of Global Enlightenment.

THIS WEEK IN THE HISTORY OF AI AT AIWS.NET - EDWARD FEIGENBAUM FORMALLY INTRODUCES EXPERT SYSTEMS

This week in The History of AI at AIWS.net - Edward Feigenbaum formally introduces expert systems in 1965. He was a part of the Stanford Heuristic Programming Project, which contained other notable AI pioneers.

Edward Feigenbaum is an American computer scientist focused on Artificial Intelligence. He studied at Carnegie Mellon University for both his B.S. and Ph.D., with Herbert Simon, an AI pioneer, as his doctoral advisor. He would go on to work at UC Berkeley and Stanford, the latter where he became Professor Emeritus of Computer Science (since 2000). Feigenbaum received the ACM Turing Award in 1994 with Raj Reddy for pioneering in AI and demonstrating its commercial potential.

The Stanford Heuristic Programming Project included members outside of Edward Feigenbaum such as Bruce G. Buchanan, Joshua Lederberg, and Carl Djerassi. They are most notable for the MYCIN experiments. Many of their papers and research can be read here.

Expert systems would become the basis for future AI products and developments. Furthermore, the members who were a part of this project would also work on other pioneering projects in A. Thus, the HAI initiative sees this event as a marker in the history of AI.

PROFESSOR JUDEA PEARL CONTRIBUTES HIS NEW METHODOLOGY TO THE BOOK “REMAKING THE WORLD – THE AGE OF GLOBAL ENLIGHTENMENT”

Professor Judea Pearl, 2020 World Leader in AIWS Award and Mentor of AIWS.net, contributes his new methodology in AI to the United Nations Centennial e-book. He wrote:

This is the first time I am using the word “domestication” to describe what happened in causality-land in the past 3 decades. I’ve used other terms before: “democratization,” “mathematization,” or “algorithmization,” but Domestication sounds less provocative when I come to talk about the causal revolution.

What makes it a “revolution” is seeing dozens of practical and conceptional problems that only a few decades ago where thought to be metaphysical or unsolvable give way to simple mathematical solutions.

“DEEP UNDERSTANDING” is another term used here for the first time. It so happened that, while laboring to squeeze out results from causal inference engines, I came to realize that we are sitting on a gold mine, and what we are dealing with is none other but: A computational model of a mental state that deserves the title “Deep Understanding” 

“Deep Understanding” is not the nebulous concept that you probably think it is, but something that is defined formally as any system capable of covering all 3 levels of the causal hierarchy: What is – What if – Only if. More specifically: What if I see (prediction) – What if I do (intervention) – and what if acted differently (retrospection, in light of the outcomes observed).

This may sound like cheating – I take the capabilities of one system (i.e., a causal model) and I posit them as a general criterion for defining a general concept such as: “Deep Understanding.”

It isn’t cheating. Given that causal reasoning is so deeply woven into our day to day language, our thinking, our sense of justice, our humor and of course our scientific understanding, I think that it won’t be too presumptuous of me to propose that we take Causal Modeling as a testing ground of ideas on other modes of reasoning associated with “understanding.”

Specifically, causal models should provide an arena for various theories explanations, fairness, adaptation, imagination, humor, consciousness, free will, attention, and curiosity.

I also dare speculate that learning from the way causal reasoning was domesticated, would benefit researchers in other area of AI, including vision and NLP, and enable them to examine whether similar paths could be pursued to overcome obstacles that data-centric paradigms have imposed.

I would like now to say a few words on the Anti-Cultural implications of the Causal revolution. Here I refer you to my blog post, https://ucla.in/32YKcWy where I argue that radical empiricism is a stifling culture. It lures researchers into a data-centric paradigm, according to which Data is the source of all knowledge rather than a window through which we learn about the world around us.

What I advocate is a hybrid system that supplements data with domain knowledge, commonsense constraints, culturally transmitted concepts, and most importantly, our innate causal templates that enable toddlers to quickly acquire an understanding of their toy-world environment.

It is hard to find a needle in a hay stack, it is much harder if you haven’t seen a needle before. The module we are using for causal inference gives us a picture of what the needle looks like and what you can do once you find one.

PRIME MINISTER ZLATKO LAGUMDZIJA: “ARTIFICIAL INTELLIGENCE WORLD SOCIETY FROM AN INITIATIVE TO A DOCTRINE AND MODEL REMAKING THE WORLD - THE AGE OF GLOBAL ENLIGHTENMENT”

Prime Minister Zlatko Lagumdzija, Member of the History of AI Board and Mentor of AIWS.net, contributed a chapter for the United Nations Centennial e-book. Here is the concluding sections of his chapter:

Now, with AIWS that include: 7-layer model, Social Contract for the AI Age, Framework for AIIA, Concept of new economy and finance system, AIWS Values and the AIWS City, it can be concluded that AIWS become a doctrine for remaking the world – the Age of Global Enlightenment.

Sixty years ago, President John F. Kennedy put the United States on a mission to the future. “I believe that this nation should commit itself to achieving the goal, before this decade is out, of landing a man on the moon and returning him safely to the earth. No single space project in this period will be more impressive to mankind, or more important for the long-range exploration of space; and none will be so difficult or expensive to accomplish.” 

Our generation’s Moonshot is not going to Mars or living on the Moon but having a shared future in shared societies, prosperity and sustainable development on Earth while avoiding and managing nuclear threats, avoiding climate change and mastering technological disruption and AI. Today it is not only that we are incomparably more technologically powerful but economically as well.

Our generation Mission Moonshot – Living on Planet Earth - is not possible only because we have technological or economic power but it requires that the World is being more defined by the “Golden” word of our future - Shared.

Shared:  Societies, Sustainable Development, Vision, Values, Peace, Prosperity, Wellbeing, Education, Economy, Technology, Knowledge, Responsibility, and Leadership for the future in Dignity.

Shared and sustainable societies as ones in which all individuals have a common sense of belonging and responsibility where inclusion and their identity differences are their asset not their liability.

We are all different, as a people and as a nation, but at the same time there is much more that puts us together while understanding each other, than divide us along different lines while confronting us. 

PEOPLE-CENTERED ECONOMY’S VINT CERF ON THE UNITED NATIONS CENTENNIAL E-BOOK “REMAKING THE WORLD – THE AGE OF GLOBAL ENLIGHTENMENT”

Father of the Internet, Vint Cerf, member of AIWS City’s Board of Leaders, contribute his concepts of the People Centered Economy to the e-book “Remaking the world – The Age of Global Enlightenment”

Here are some of his quotes in the book:

““We have to raise this point of people-centeredness because we have become a society that is deeply dependent on machines. We are a creative species. We are a species that are tool makers and as our history has unfolded we have increased our dependence on and our ability to create machines that work for us or help us do our work. So I think that it's very important for us to recall the people-centered focus that we are drawn to in today's discussions.”

“What I need for you to appreciate is that the side effects of invention do not always become apparent when they are invented and when they are put to use. Indeed in some cases it may take decades to understand in some depth the consequences of technology.»

«Machine learning is a powerful new tool and as we explore all of its powerful positive uses which we experience daily, we will eventually experience the abuses to which this new technology is put to work and we will be confronted once again with the question of how to manage that problem»

«We know that machine learning tools don't always get it right. We also know that some of the failures are quite subtle although they are also dramatic.»

«The machine learning system doesn't see things the way we do. Human beings have this amazing ability to abstract from images to recognize various features in the images that that help us identify things the machine learning tools are recognizing features but not necessarily the ones that you and I would normally use in order to identify a cat and a dog and a crocodile. This is just one very trivial example of the ways in which machine learning tools can fail and the reason that's so important for us to keep this in mind is that the failures can be very harmful.»

«It's essential to have in the back of our minds a sense for how those tools might fail or might be deliberately abused and you we will need an international call operation in order to induce and introduce this people-centeredness into the use of artificial intelligence because we will use these techniques on a global scale.»

«So now we have to figure out what the international agreements are going to be. Not only to deal with the abuses of the internet and its applications but also the potential abuses of machine learning. That is going to require some deep thought and some deep understanding and some dependence on technologists who are much smarter than I am.»"

READY FOR A WORLD OF (AI-POWERED) SUPERHUMAN PRECISION? IT’S COMING

Of the many great paintings by Michelangelo on the ceiling of the Sistine Chapel, one stands above all others as his most recognizable work. “The Creation of Adam” depicts God with hand outstretched to his creation, Adam. The painting raises a big question in the world of AI and Big Data—can humanity safely outstretch our collective hand to AI-controlled robots and machines, or are we likely to get our arms ripped off by imprecise electronics?

Today most people still think of AI as a mere computer program, solving problems in the digital realm. A formidable application of computer science, it can assist us with once inconceivable tasks, such as detecting cancer and analyzing data far too complex to wrap our minds around. Those AI applications, while still critical, no longer represent the state of the art. The cutting-edge work in AI now centers on how to safely introduce devices controlled by machine learning into our physical reality.

AI already has begun interfacing with the physical world in many ways, mostly in the industrial and farming sectors. For instance, GAIA (Geospatial Artificial Intelligence for Agriculture) is a system implemented in Australia combining imagery of vineyards and AI to inform farmers on the health of their plants on a row-by-row basis. Yes, it can even predict the quality of their fruit! And as I wrote for Forbes last year, high-tech manufacturers, such as Aerion Supersonic, are using “digital twin” tech to create an AI-driven mirror of their supersonic jets and manufacturing plant, tracking real-world performance down to the minutest detail.
According to Artificial Intelligence World Society Innovation Network (AIWS.net), AI can be an important tool for industrial automation, relieve human resource constraints and arbitrary/inflexible rules and processes. In this effort, Michael Dukakis Institute for Leadership and Innovation (MDI) invites participation and collaboration with think tanks, universities, non-profits, firms, and other entities that share its commitment to the constructive and development of full-scale AI for world society.

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