Abe calls for Saudi cooperation to stabilize Middle East

Japanese Prime Minister Shinzo Abe on Sunday sought cooperation from Saudi Arabia to ensure stability in the Middle East amid heightened U.S.-Iran tensions.

In his meeting with Prince Faisal bin Farhan, who serves as foreign minister, Abe said he is “deeply worried” about the Middle East situation and Tokyo is aiming to help reduce the tensions through diplomatic efforts.

Abe also explained Japan’s planned dispatch of a Self-Defense Forces destroyer and patrol planes to the region to safeguard commercial shipping, according to the Foreign Ministry.

In response, the Saudi foreign minister hailed the decision, saying that it is the responsibility of “all countries concerned” to secure safe navigation, the ministry said.

Abe also held talks with Saudi King Salman ahead of his meeting with Crown Prince Mohammed bin Salman later Sunday.

The Boston Global Forum presented Prime Minister Shinzo Abe with the Award of World Leader for Peace, and Security on Global Cybersecurity Day December 12, 2015 at Harvard University Faculty Club.

The original article can be found here.

Nominate for the World Leader in AI World Society Award 2020

Now, leaders of BGF and AIWS Innovation Network (AIWS-IN) are nominating to honor World Leader in AI World Society Award 2020. The first winner was Angel Gurria, Secretary General of OECD for 2018, and the second winner was father of Internet Vint Cerf for 2019.

The World Leader in AI World Society Award 2020 will be presented at the conference co-organized by World Leadership Alliance-Club de Madrid and the Boston Global Forum, at Harvard University from April 28-29, 2020.

World Leader in AI World Society is a part of AIWS-IN. Winners of this award will become a member of board of leaders of AIWS-IN, the network of more than 100,000 professors, scholars, innvators, experts of top universities in the world.

Link: https://aiws.world/world-leaders-in-aiws/

Transforming developing country tax systems with data science and technology

Leaders and experts of EY, MIT, World Bank, the Boston Global Forum, and New America are discussing with each other to establish the Alliance for Prosperity.

An Alliance is taking shape between private and public stakeholders that aims to support transforming tax systems in developing countries through data science and technology innovations.

The founding members of the Alliance are: Boston Global Forum, EY, MIT Connection Science, New America and the World Bank. Over time, the Alliance will add other members that who can contribute to its mission. With countries in the lead fordire need of solution deployment of solutions on the ground, the Alliance will promote initiatives that contribute to: raising additional revenue, curbing corruption, and increasing fairness and taxpayer trust.

The Alliance will pursue a wide range of activities to getachieve buy-in, solution development, capability to deploy, and funding of data science and technology innovations. This requires raising awareness among stakeholders including decision -makers in developing countries, taxpayers and developers of technology solutions. Awareness needs to result in well-defined demand for approaches solutions that can change fundamental tax outomes. Alliance partners have own capacity to develop and deploy such solutions but a key activity will be to bring country demand to a wider group of developers, with as a core requirement that softwares Solutions should endeavor to lower barriers to adoption by adhering to governance principles that foster transparency and consistency: contributing to ‘free or open- source libraries or other intellectual property transfer, promoting ’ interoperabilityle, and and utilizing open standards / transparentprotocols where appropriate. Revenue administrations, ministries of finance and other key stakeholders need to be willing and ready for new solutions, which requires workforce development and addressing of institutional political economy bottlenecks. Finally, the Alliance will work with funders to secure financial resources for larger-scale projects and sustain the work of the Alliance.

The Alliance will initiate its work in 2020 with a launch in January 2020 at the World Economic Forum (WEF) in Davos.

This initiative as a model of AI-Government, a part of AI World Society Concepts.

The CEO of the Boston Global Forum will chair a session of Horasis Global Meeting 2020

With the theme “Innovating Decisive Leadership through Times of Disruption”, Horasis Global Meeting will be organized from 28-31 March 2020 in Cascais, Portugal.


City of Cascais

Government of Portugal

President José Manuel Barroso, Vice Chairman, Goldman Sachs International; Former President, European Commission, Portugal, is the co-chair of the event.

Mr. Nguyen Anh Tuan, CEO of the Boston Global Forum, will be chair of the session The Progress on Global Commitments. He will present benefit and advantages from AIWS Innovation Network, a network of more than 100,000 professors, scholars, innovators, experts of top universities such as Harvard, MIT, Stanford, Princeton, Yale, Carnegie Mellon, Stanford, Cambridge, Oxford, etc., as Uber model of intellectual. There are topics linked to AI will be presented and discussed at Horasis Global Meeting, as well as many leaders of governments, distinguished scholars of universities, and business leaders who will join the event.

Welcome to the roaring 2020s, the artificial intelligence decade

Take the camera trap, a pretty common technique used to study wildlife habits and biodiversity — and one that has been supported by an array of big-name tech companies. Except what researcher has the time or bandwidth to analyze thousands, let alone millions, of images? Enter systems such as Wildlife Insights, a collaboration between Google Earth and seven organizations, led by Conservation International.

Wildlife Insights is, quite simply, the largest database of public camera-trap images in the world — it includes 4.5 million photos that have been analyzed and mapped with AI for characteristics such as country, year, species and so forth. Scientists can use it to upload their own trap photos, visualize territories and gather insights about species health.

Here’s the jaw-dropper: This AI-endowed database can analyze 3.6 million photos in an hour, compared with the 300 to 1,000 images that you or I can handle. Depending on the species, the accuracy of identification is between 80 and 98.6 percent. Plus, the system automatically discounts shots where no animals are present: no more blanks.

The net effect: faster analysis, faster insights. And let’s be frank, the rapidity with which global temperatures are rising, and habitats and unique species are disappearing, demands that the sustainability community move much faster than it has to make decisions and take action. If 2019 told us anything, it was that we are running out of time to act on climate change. Indeed, almost three-quarters of business decision-makers believe AI will be instrumental in driving solutions that improve environmental sustainability, according to research published last year by Intel.

At the same time, we are certainly right to be cautious about the potential side effects of AI. That theme comes through loud and clear in five AI predictions published by IBM in mid-December. Two resonate with me the most: first, the idea that AI will be instrumental in building trust and ensuring that data is governed in ways that are secure and reliable; and second, that before we get too excited about all the cool things AI might be able to do, we need to make sure that it doesn’t exacerbate the problem. That means spending more time focused on ways to make the data centers behind AI applications less energy-intensive and less-impactful from a materials standpoint.

From an ethical standpoint, I also have two big concerns: first, that sufficient energy is put into ensuring that the data behind the AI predictions we will come to rely on more heavily isn’t flawed or biased. That means spending time to make sure a diverse set of human perspectives are represented and that the numbers are right in the first place. And second, we must view these systems as part of the overall solution, not replacements for human workers.

Regarding to AI Ethics, AI World Society (AIWS) initiated and promoted to design AIWS Ethics framework within four components including transparency, regulation, promotion and implementation for constructive use of AI.

The original article can be found here.

The Path to AI

Artificial Intelligence (AI) is poised to be the next world-altering technology. While there is still plenty of work to be done to capitalize on AI’s ultimate potential, the technology is already becoming a ubiquitous part of everyday life: entertainment and shopping recommendations, text message autocomplete, voice assistants, and even traffic lights. They all use AI to shape the user experience and improve productivity.

AI is changing how work gets done. For example, smart assistants can now handle the basic but annoying chore of scheduling team meetings. And in warehouses, robots algorithmically scurry about gathering products for their human counterparts to ship. Regardless of the industry, knowledge and skill requirements are changing quickly for anyone who wants to play a role in the future of work.

Research from EY shows that AI is increasing workplace operational efficiency and helping organizations make faster, smarter decisions. The generalized fear that AI will take away all human jobs may have subsided, but McKinsey research indicates that up to 50 percent of job tasks are technically automatable. Forbes revealed that 80 percent of CEOs see AI as a critical component of their digital transformation strategy.

According to Michael Dukakis Institute for Leadership and Innovation (MDI), AI technology can be a force for helping people achieve well-being and happiness, unleash their potential, obtain greater freedom, relieve them of resource constraints and arbitrary/inflexible rules and processes, and solve important issues, such as SDGs.

The original article can be found here.

Vint Cerf is one of the leaders of AIWS Innovation Network (AIWS-IN)

On December 12, 2019 at Global Cybersecurity Day Symposium, the AI World Society Innovation Network (AIWS-IN) was officially launched at Loeb House, Harvard University. Leaders of AIWS-IN are mentors and co-founders: Governor Michael Dukakis, Father of Internet Vint Cerf,  Professor Alex Sandy Pentland (MIT), Professor Nazli Choucri (MIT), Professor Thomas Patterson (Harvard), Professor David Silbersweig (Harvard), Mr. Nguyen Anh Tuan (the Boston Global Forum), and Professor Christo Wilson (Northeastern),  as well as President of World Leadership Alliance-Clubde Madrid and former President of Latvia, Vaira Vike-Freiberga.

The Father of Internet and one of Mentors of AIWS-IN will be honored as a World Leader in AI World Society at AIWS-G7 Summit Conference on April 25, 2020 at Loeb House, Harvard University. He is also presented the Turing Award.


Father of the Internet, Vint Cerf, will be a speaker at AI World Society Summit 2020

Vint Cerf will be a speaker at AIWS Summit 2020, which is co-organized by World Leadership Alliance-Club de Madrid (WLA-CdM) and the Boston Global Forum on April 28-29, 2020 at Harvard University.

WLA-CdM is the largest forum of democratic former Presidents and Prime Ministers, and acts to strengthen democratic leadership and institutional capacity to better tackle major global challenges. At AIWS Summit 2020, Boston Global Forum will officially launched the AIWS Social Contract 2020 and a report on Monitoring AI developments and uses by governments, corporations, and non-profit organizations to assess whether they comply with the norms and standards codified in the AIWS Social Contract 2020. Noncompliant actors will be identified and publicized through fact-based reports.

Google’s AI breast cancer screening tool is learning to generalize across countries

In a preliminary test, a model trained only on data from UK women still performed better than experts on US patients.

The news: DeepMind and Google Health have developed a new AI system to help doctors detect breast cancer early. The researchers trained an algorithm on mammogram images from female patients in the US and UK, and it performed better than human radiologists. The results were published in Nature on Wednesday.

A tragedy of errors: Breast cancer is the most common cancer for women globally, and their second leading cause of death. Though early detection and treatment can improve a patient’s prognosis, screening tests have high rates of error. About 1 in 5 screenings fail to find breast cancer even when it’s present, also known as a false negative; 50% of women who receive annual mammograms also get at least one false alarm over a 10-year period, known as a false positive.

The results: In tests, the AI system decreased both types of error. For US patients, it reduced false negatives and positives by 9.4% and 5.7%, respectively; for UK patients it reduced them by 2.7% and 1.2%. In a separate experiment, the researchers tested the system’s ability to generalize: they trained the model using only mammograms from UK patients, and then evaluated its performance on US patients. The system still outperformed human radiologists, reducing false negatives and positives by 8.1% and 3.5%.

Human and machine: Ultimately, both studies conclude that such AI breast cancer screenings should be used in tandem with human radiologists. The combination achieves the most accurate diagnostic results but still reduces the workload on human radiologists, which would help free up their time to focus more on patient care.

AIWS Innovation Network (AIWS-IN), with the domain name AIWS.world, connects distinguished professors, scholars, innovators from top universities such as Harvard, MIT, Princeton, Stanford, Yale, Columbia, UC Berkeley, UCLA, University of Pennsylvania, Brown, Oxford, Cambridge, and more, as well as companies such as Google, IBM, Microsoft, and others, to provide services for governments, companies, and organizations. The AIWS-IN was launched on December 12, 2019 at Harvard University, and will begin to operate from January 1, 2020.

The original article can be found here.

Essay by the President of Latvia for the United Nations 2045 Project

Here is the highlight from President Vaira Vike-Freiberga’s essay:

The only thing missing in the AI world is Smart people who will be smarter all on their own, without aid or support of electronic props and prostheses. Who needs to be able to quote poetry or remember any facts, when they can be instantly summoned by a few flips of the finger? But what happens to human faculties when they all but go dormant, especially after a certain number of generations? There used to be a story told to biology students about a species of salamander that had been discovered in underground caves completely cut off from any access to daylight. Not surprisingly, they were completely white, without the least trace of pigment in their skins. Equally unsurprisingly, they were also blind. The reason for this, however, was not just an atrophy of visual functions, but the total loss of eye development early in their embryonic development. The moral of the story is that morphological structures as well as the functions they perform will atrophy without use, that is, without continued feedback from the environment in which they had originally evolved.

This is why it is comforting to know that UNESCO has already started to work on a vast program which will delineate the features of the kind of Education for Tomorrow that humans will need in the next century. We have to be careful, as a species, that we do not lose all the advantages that millions of years of evolution have left as our heritage, whether through inertia, laziness or overweening pride and arrogance. And, while we are at it, of course we also have to think of preserving our planet in a shape where it continues to be fit for human habitation. The planet will not care whether its dominant species are humans, salamanders or cockroaches. We are the ones who do care. Or should.

On December 31, 2019, the essay of President of World Leadership Alliance-Club de Madrid and former President of Latvia, Vaira Vike-Freiberga, for United Nations 2045 project, was published on AIWS Innovation Network (AIWS-IN) at Section AIWS Social Contract 2020 and United Nations 2045.


How Artificial Intelligence Is Totally Changing Everything

AI is rapidly spreading throughout civilization, where it has the promise of doing everything from enabling autonomous vehicles to navigate the streets to making more accurate hurricane forecasts. On an everyday level, AI figures out what ads to show you on the web, and powers those friendly chatbots that pop up when you visit an e-commerce website to answer your questions and provide customer service. And AI-powered personal assistants in voice-activated smart home devices perform myriad tasks, from controlling our TVs and doorbells to answering trivia questions and helping us find our favorite songs.

But we’re just getting started with it. As AI technology grows more sophisticated and capable, it’s expected to massively boost the world’s economy, creating about $13 trillion worth of additional activity by 2030, according to a McKinsey Global Institute forecast.

“AI is still early in adoption, but adoption is accelerating and it is being used across all industries,” says Sarah Gates, an analytics platform strategist at SAS, a global software and services firm that focuses upon turning data into intelligence for clients.

According to Michael Dukakis Institute for Leadership and Innovation (MDI), AI technology can be a force for helping people achieve well-being and happiness, unleash their potential, obtain greater freedom, relieve them of resource constraints and arbitrary/inflexible rules and processes, and solve important issues, such as SDGs.

The original article can be found here.

Brazil to create national artificial intelligence strategy

The Brazilian government has taken another step towards the creation of public policies around artificial intelligence (AI).

A national AI strategy will be created as a response to the worldwide race for leadership in the field and the need to discuss the future of work, education, tax, research and development as well as ethics as the application of related technologies becomes more pervasive.

A public consultation has been launched to gather input around how AI can solve the country’s main issues, identify priority areas of focus for the development and use of the technologies, as well as limits for it.

According to the summary on the purpose of the consultation, which ends on January 31, 2020, the government understands that AI can bring improvements to the country’s competitiveness and productivity, as well as the provision of public services, quality of life and to reduce social inequality in the southern hemisphere’s biggest economy.

Brazil adheres to the Organisation for Economic Co-operation and Development (OECD)’s human-centred AI Principles, which provide for recommendations around areas such as transparency and explainability.

Regarding to Artificial Intelligence for Government, Michael Dukakis Institute for Leadership and Innovation (MDI) established AI World Society (AIWS) to design Government AIWS Ethics and Practices Index for tracking the AI government activities in terms of transparency, regulation, promotion and implementation for constructive use of AI.

The original article can be found here.

Professor Nazli Choucri speaks about AIWS Social Contract 2020

On Global Cybersecurity Day December 12, 2019, at Loeb House, Harvard University, Professor Nazli Choucri, MIT, a co-founder of the AIWS Social Contract 2020 and AIWS Innovation Network, presented updated ideas of the AIWS Social Contract 2020.

The AIWS Social Contract 2020 will be officially launched and presented at AIWS Summit 2020, April 28-29, 2020 at Harvard University. This event will be co-organized by the Boston Global Forum and World Leadership Alliance-Club de Madrid, the largest forum of more than 100 head of states, head of governments of democracy countries, including Bill Clinton, Mikhail Gorbachev, Jimmy Carter, etc.

The video can be found here.

Assistant Secretary Nam Pham speaks about AI World Society Innovation Network

On Global Cybersecurity Day, December 12, at Loeb House, Harvard University, at the launching of AI World Society (AIWS) Innovation Network, the Assistant Secretary of Business Development and International Trade, Government of Massachusetts, Mr. Nam Pham, congratulated AIWS Innovation Network and spoke on AI and cybersecurity. The Government of Massachusetts is one of the sponsors of AIWS Innovation Network.

The video can be found here.

Happy New Year 2020: AIWS Social Contract 2020 and AIWS Innovation Network

The Boston Global Forum (BGF)  greatly thank you for your significant contributions to BGF and MDI crucial initiative in 2019 such  as AIWS Social Contract 2020 and AIWS Innovation Network. We wish you and your family a very Happy New Year.  We look forward to welcome you to AIWS Summit on April 28-29, 2020 at Harvard University. The event is co-organized by World Leadership Alliance-Club de Madrid and the Boston Global Forum with participation of head of states, governments, and distinguished thinkers, to discuss about AIWS Social Contract 2020 and AIWS Innovation Network. Governor Michael Dukakis and President Danilo Turk are the co-chairs of the AIWS Summit 2020.

Artificial Intelligence 2020: Trends, Predictions in the World of AI

Techiexperts highlights of the trends and predictions for AI in 2020 include:

Integration of Blockchain, IoT, and Artificial Intelligence

Integration of AI to other technologies is one of the main concerns in the past. Today, experts have found a way to fuse Artificial Intelligence with other systems more effectively.

One of these advancements is the activation and regulation of certain devices, which enables you to gather real-time data. In 2020, you can run more AI features in vehicles. The same thing goes for Blockchains that can generate certain routine using AI to address security, scalability, and other alarming concerns.

The AIWS Innovation Network will connect key AI actors and provide services that can assist in the development of AI.

By key actors, we refer to influential AI end users, including governments, corporations and non- profit organizations, and to AI experts, including thought leaders, scholars, creators, and innovators.

By services, we refer to such activities as providing advice on AI projects, assisting in developing solutions to AI problems, offering training in AI subjects, and connecting AI event organizers with speakers.

Services will also include periodic conferences, forums, and roundtables on AI topics; development of AI apps, etc.

Improved AI System Assistance

This is one of the biggest improvements you should expect in 2020. Experts have predicted that AI system assistance will be more streamlined including the automation for customer service and other sales tasks.

While we now have popular assistants powered by AI such as Siri, Alexa, Waze, and Cortana, more and more investors are still working with some of the best AI software developers.

By next year, you can expect more apps and programs with Artificial Intelligence system, which enables you to perform various tasks. In fact, ComScore mentioned that more than half of all searches can be sorted out using voice commands by 2020.

AIWS Social Contract 2020 introduced 7 centers of power, one of them being AI Assistants.

The original article can be found here.

XAI—Explainable artificial intelligence

Recent successes in machine learning (ML) have led to a new wave of artificial intelligence (AI) applications that offer extensive benefits to a diverse range of fields. However, many of these systems are not able to explain their autonomous decisions and actions to human users. Explanations may not be essential for certain AI applications, and some AI researchers argue that the emphasis on explanation is misplaced, too difficult to achieve, and perhaps unnecessary. However, for many critical applications in defense, medicine, finance, and law, explanations are essential for users to understand, trust, and effectively manage these new, artificially intelligent partners.

Recent AI successes are largely attributed to new ML techniques that construct models in their internal representations. These include support vector machines (SVMs), random forests, probabilistic graphical models, reinforcement learning (RL), and deep learning (DL) neural networks. Although these models exhibit high performance, they are opaque in terms of explainability. There may be inherent conflict between ML performance (e.g., predictive accuracy) and explainability. Often, the highest performing methods (e.g., DL) are the least explainable, and the most explainable (e.g., decision trees) are the least accurate.

The purpose of an explainable AI (XAI) system is to make its behavior more intelligible to humans by providing explanations. There are some general principles to help create effective, more human-understandable AI systems: The XAI system should be able to explain its capabilities and understandings; explain what it has done, what it is doing now, and what will happen next; and disclose the salient information that it is acting on.

Regarding to explainable AI applications, Artificial Intelligence World Society (AIWS) also designed the AIWS Ethics and Practices Index to track the AI activities in terms of transparency, regulation, promotion and implementation for constructive use of AI.

The original article can be found here.