by Editor | Jan 26, 2020 | News
Aligned with the 50th anniversary of the World Economic Forum, there was a movement in Davos this year connecting taxation with prosperity, this is a part of the AI-Government model. Five great institutions have been collaborating to develop, test and deploy innovative data systems and technology platforms to improve taxation in emerging markets and developing economies (EMDEs). The Boston Global Forum is joined by MIT Connection Science, the action-tank, New America, The World Bank, and professional services giant, EY in this important endeavor. These organizations are each pledging even greater collaboration in the days ahead. We proudly call our work, The Prosperity Collaborative.
In Davos, Jeff Saviano, who leads this effort for EY, New America’s Tomicah Tillemann, and Alex ‘Sandy” Pentland, leader of MIT Connection Science, unveiled The Prosperity Collaborative story at Pentland’s Imagination in Action event. This was followed by an in-depth discussion at the Global Blockchain Business Council’s Davos forum of the intense tax issues within EMDEs and how application of new data and technology platforms will lead to a fair and efficient taxing system. The connection of taxation to prosperity was the talk of Davos!
Policymakers are telling us they need this collaborative effort to directly contribute to the Global Goals – for a better world. Much of the effort to fund the UN’s Sustainable Development Goals has been to reallocate capital; often times, making difficult choices to shift funding from one important social cause to another. The founding members of The Prosperity Collaborative believe that new technology and data systems will have the necessary effect of increasing tax compliance; creating additional capital to fund the Global Goals.
Here at the Boston Global Forum, we are deeply committed to this work and the great institutions we have been collaborating with. Governor Michael Dukakis, Co-Founder and Board Chairman of the Boston Global Forum, says ‘from my many years in government, I have personally seen the direct connection of taxation to prosperity. I am personally committed to The Prosperity Collaborative and our work to develop new, cutting edge, technology for better tax systems and a better world.’
If you would like to learn more about The Prosperity Collaborative, please reach out to Boston Global Forum CEO, Nguyen Anh Tuan, or Jeffrey Saviano, EY Global Tax Innovation Leader.
by Editor | Jan 26, 2020 | News
The Office of Management and Budget released a draft memorandum Jan. 13 providing guidance to agencies on how they should approach regulation of industry’s artificial intelligence applications.
The guidance emphasizes that agencies should consider how any regulatory action would potentially hinder expansion of AI use. The draft memo “calls on agencies, when considering regulations or policies related to AI applications, to promote advancements in technology and innovation.”
“Agencies must avoid a precautionary approach that holds AI systems to such an impossibly high standard that society cannot enjoy their benefits,” OMB officials wrote. “Where AI entails risk, agencies should consider the potential benefits and costs of employing AI, when compared to the systems AI has been designed to complement or replace.”
Throughout the draft memorandum, OMB expresses concerns about the federal government over-regulating AI to the extend that it hampers innovation and development of the technology. But there will be some cases where agencies will have to issue rules and regulations pertaining to AI applications. To avoid over-burdensome regulation, the draft memo includes 10 principles for use in government:
- Public trust in AI. Regulatory and non-regulatory actions need to be reliable, robust and trustworthy.
- Public participation: The public should have opportunities to participate in the rule-making process.
- Scientific integrity and information quality. The government’s approaches to AI should use scientific and technical information and processes.
- Risk assessment and management. Regulatory and non-regulatory approaches should be made after assessing risk and determining how to manage it.
- Benefits and costs. Agencies need to consider the full societal costs and benefits related to developing and using AI applications.
- Flexibility. Agency approaches to AI should be flexible and performance-based.
- Fairness and nondiscrimination. AI can reduce or increase discrimination. Both regulatory and non-regulatory approaches need to consider issues of fairness and nondiscrimination in outcomes.
- Disclosure and transparency. Agencies should be transparent in an effort to improve public trust in AI.
- Safety and security. Agencies should ensure that that they have controls in place to guarantee confidentiality, integrity and availability of data used by AI.
- Interagency coordination. OMB officials wrote that agencies need to coordinate with one another about shared experiences and “ensure consistency and predictability of AI-related policies.”
According to this, Michael Dukakis Institute for Leadership and Innovation (MDI) created Artificial Intelligence World Society Initiative (AIWSI) as a means of counteracting harmful and unethical uses of AI, and building the 7-layer AI model, including ethics, to achieve a peaceful and secure world. The AIWS Innovation Network, a part of AIWSI, is also promoted to identify, publish and promote principles for the virtuous application of AI into governments, corporations and non-profit organizations.
The original article can be found here.
by Editor | Jan 26, 2020 | News
The market value of AI in the health care industry is predicted to reach $6.6 billion by 2021. Artificial intelligence is increasingly growing in popularity throughout various industries. Most of us associate AI with things like robots, Alexa and self-driving cars.
But AI is a lot more than that. AI experts see it as a revolutionary technology that could benefit many industries.
The impact of AI in the health care sector is genuinely life-changing. It is driving innovations in clinical operations, drug development, surgery and data management. AI technology is also rapidly finding its way into hospitals.
AI applications are centered on three main investment areas: digitization, engagement and diagnostics. Looking at some examples of artificial intelligence in health care, it is clear that there are exciting breakthroughs in incorporating AI in medical services.
Let’s explore some of the amazing applications of AI that are revolutionizing health care.
Robot Doctors
AI does not get more exciting than robots. However, these are not the humanlike droids from science fiction films. We are talking complex and intelligent machines designed for specific tasks.
Clinical Diagnosis
AI algorithms diagnose diseases faster and more accurately than doctors. They are particularly successful in detecting diseases from image-based test results.
Precision Medication
Precision medication refers to dispensing the correct treatment depending on the patient’s characteristics and behavior. Equally essential to correct diagnosis is the provision of the appropriate treatment. This mostly means the exact prescription and recovery routines for the best outcome.
Drug Discovery
Drug development is a tedious venture that may take years and thousands of failed attempts. It can cost medical researchers billions of dollars in the process. Only five in 5,000 drugs that begin pre-clinical trials ever make it to human testing. And only one of the five may find its way to pharmacies.
Personal Health Assistants
These gadgets use the data to make recommendations. This is an attempt to remedy any irregularities. Most of these devices store data locally or online. The data can be retrieved and used by medical practitioners as a medical report.
Adopting Examples Of Artificial Intelligence In Health Care
AI is here to stay. It will not replace doctors with machines but work alongside them. The goal is to achieve cheaper and more efficient health care services. Being a relatively new technology in health care, AI still has a long way to go, but the progress is impressive.
In 2019, the Michael Dukakis Institute for Leadership and Innovation (MDI) established the Artificial Intelligence World Society Innovation Network (AIWS-IN) to connect key AI actors and provide services that can assist in the development of AI. AIWS-IN also promotes AI applications in healthcare for helping people achieve well-being and happiness, unleash their potential, and solve important issues, such as SDGs.
The original article can be found here.
by Editor | Jan 20, 2020 | News
President Sauli Niinisto, BGF World Leader for Peace and Security Award 2018, will, together 46 world leaders, attend the World Holocaust Forum at Yad Vashem on Thursday, marking the 75th year since the liberation of Auschwitz-Birkenau.
The gathering of world leaders poses a huge security challenge for Israel’s security forces, the third-largest gathering since the funerals of Shimon Peres in 2016 and Yitzchak Rabin in 1995.
Some of the most notable leaders who will attend the forum are US Vice President Mike Pence, Russian President Vladimir Putin, French President Emmanuel Macron, German President Frank-Walter Steinmeier and Prince Charles of Britain, who are all slated to deliver a speech at the forum. Rav Yisrael Meir Lau, chairman of the Yad Vashem council as well as Prime Minister Binyamin Netanyahu will also speak.
Other royals who will attend in addition to Prince Charles, who is making his first official visit to Israel, are the kings of Spain, Belgium, and Holland, the crown prince of Norway and the grand duke of Luxembourg.
The original article can be found here.
by Editor | Jan 20, 2020 | News
The Harvard Gazette introduces the new book by Professor Thomas Patterson, co-founder of the Boston Global Forum and AIWS Innovation:
https://news.harvard.edu/gazette/story/2020/01/excerpt-thomas-pattersons-how-america-lost-its-mind/
Since then, there has been a revolution in mass communication and a leap in the number of people with college educations. Americans have never had so much information available or been better trained to handle it. Yet they are no better informed today than they were decades ago. The high-school-educated public of the 1950s knew as much about the structure of America’s government as does the media-saturated, college-educated public of today. When asked in a recent national survey to name the three branches of government, only a third of respondents could do so. Another third could name one or two. The final third couldn’t name a single one. Those ratios are nearly the same as when Americans were asked the question in 1952.
“Some conspiracy theories are harmful. A few are downright dangerous. Most are merely bizarre. More harmful to our democracy is a cousin of conspiracy theories — misinformation. It also involves fanciful ideas about the actual state of the world, but it is far more widespread and a far greater threat.”
“The Internet is an extraordinary advance. It has changed our lives in positive ways, giving us a level of access to information that was unimaginable a few decades ago. Yet mixed in with the Internet’s reliable content is misinformation, so many shades of it that it would put a lipstick counter to shame.”
“Aside from the delusional comfort it offers, misinformation doesn’t have much to recommend it. But there’s arguably something worse: people who know they are being fed false information and embrace it.”
In the problems professor Patterson raised in his book, AIWS young leaders, and distinguished thinkers of AIWS Innovation Network (AIWS-IN) at AIWS.world contribute solutions, initiatives, concepts, and practice. The AIWS-IN connect around 100,000 distinguished professors, thinkers, innovators from top universities in the world such as Harvard, MIT, Stanford, Princeton, Columbia, Yale, Berkeley, UCLA, Carnegie Mellon, Cambridge, Oxford, University of Tokyo etc.
by Editor | Jan 20, 2020 | News
The Boston Global Forum (BGF), Michael Dukakis Institute for Leadership and Innovation (MDI), and AI World Society Innovation Network (AIWS-IN) will honor World Leader in AIWS Award and present AIWS Distinguished Lecture at Policy Dialog with the theme “The New Social Contract in the AI Age” on April 28-29, 2020 at Harvard and MIT. The Policy Dialog – AIWS Summit is co-organized by the Boston Global Forum and World Leadership Alliance-Club de Madrid with attendance of many former head of states and governments of democratic countries around the world, as well as distinguished inventors such as Vint Cerf, the father of Internet, and distinguished professors of Harvard and MIT.
Recipients of the World Leader in AIWS Award were Secretary General of OECD Angel Gurria in 2018, father of Internet Vint Cerf in 2019.
AIWS Distinguished Lecturers are Liam Byrne, MP of United Kingdom, Kazuo Yano, Chief of Science of Hitachi, David Bray, Director of People-Centered Internet, and Japanese Minister of Defense Taro Kono.
by Editor | Jan 20, 2020 | News
Professor Alex Sandy Pentland, MIT, one of 7 most powerful data scientists, co-founder of the AIWS Social Contract and co-founder of the AIWS Innovation Network, contributes the first words for writing of the AIWS Social Contract:
“Over centuries society has constructed a social contract between government and citizens. First included was land, then capital, then finally labor. Now data is a core part of society, immensely valuable and critical for proper functioning of a modern society, and so data must be integrated into the social contract. Data should be regarded as a first-class resource belonging to citizens, like labor or capital or land, and just as with these older citizen resources we need to construct institutions and laws that control rights, ownership, and use.”
The final version of AIWS Social Contract will be presented at Policy Dialog, co-organized by the Boston Global Forum and World Leadership Alliance-Club de Madrid at Harvard and MIT on April 28-29, 2020.
by Editor | Jan 20, 2020 | News
The pharma company will work with MIT’s School of Engineering to establish an education program focused on developing new machine learning approaches to drug development and more.
The program, based at MIT’s Abdul Latif Jameel Clinic for Machine Learning in Health, or J-Clinic – which specializes in developing new healthcare AI tools – is funded with a three-year investment from Takeda and aims to leverage the expertise of both organizations.
With the collaboration, MIT will gain access to pharmaceutical infrastructure and expertise, and develop new educational program through J-Clinic that will support MIT faculty, students, researchers, and staff in their approach to AI development. The new program will combine algorithm and hardware innovations, and create multidimensional collaborations between academia and industry.
The MIT-Takeda Program will focus on funding as many as 10 flagship research projects per year in the areas of machine learning and health, including diagnosis of disease, prediction of treatment response, development of novel biomarkers, process control and improvement, drug discovery, and clinical trial optimization.
According to AI World Society (AIWS), AI technology for medical application can be a force for helping people achieve well-being and happiness, unleash their potential, obtain greater freedom, relieve them of resource constraints and solve important issues, such as SDGs.
The original article can be found here.
by Editor | Jan 20, 2020 | News
A roadblock to scale: the global sprint towards AI, a study of 4,514 senior business decision-makers with some knowledge/influence over their company’s IT decisions, reported that there is a skills gap that represents a significant roadblock to broad business deployment of AI. The executives also said data silos hinder progress in AI projects.
The study, conducted by Morning Consult for IBM, showed that 37% of the executives surveyed are concerned that limited AI expertise or knowledge is hindering successful AI adoption at their businesses. Other barriers cited include increasing data complexities and silos (31%) and lack of tools for developing AI models (26%).
Globally, 22% of the survey’s respondents said they are not currently using or exploring the use of AI. But professionals whose companies are currently deploying AI are much more likely to report investment across the board.
Globally, 78% of the executives surveyed said it is very or critically important that they can trust that their AI’s output is fair, safe and reliable. Explainable AI was high on the agenda for 83% of global respondents.
Rob Thomas, general manager at IBM Data and AI, said: “Based on our interactions and the results of this study, we expect to see organizations not only adopt AI, but scale it across their enterprises, by building/developing their own AI, or putting ready-made AI applications to work.”
In 2018, the Michael Dukakis Institute for Leadership and Innovation (MDI) established the Artificial Intelligence World Society (AIWS) and invited participation and collaboration with think tanks, universities, non-profits, enterprises, and other entities that share its commitment to the constructive and development of AI.
The original article can be found here.
