by Editor | Feb 17, 2020 | News
As a part of a transatlantic and multi-stakeholder dialogue on global challenges and policy solutions in the context of the need to create the social contract 2020, a new social contract on digital technologies and Artificial Intelligence (AI), co-organized by the World Leadership Alliance-Club de Madrid and the Boston Global Forum, the AIWS Innovation Network Roundtable started on 02/02/2020, and the first discussion will focus on auditing, balance AI Assistants, a new center of power in AI Age will be on 02/20/2020. The Social Contract 2020 propose 7 centers of power. The AIWS Innovation Network Roundtable will discuss to audit, mange, monitor and balance these 7 centers of power.
Professors Alex Pentland, MIT, Christo Wilson, Northeastern University, and Harvard Law School Fellow will present their ideas in the first discussion. There are distinguished thinkers, inventers, innovators who are members of AIWS Innovation Network will contribute their ideas and discussion. Content of the AIWS Innovation Network Roundtable will be also used for United Nations 2045 project and will collect and present on April 28, 2020 at Policy Dialog 2020 at Harvard by BGF and Club de Madrid with the attendance of more than 15 head and former head of states and governments.
The AIWS Innovation Network is a platform of United Nations 2045 project.
by Editor | Feb 17, 2020 | News
A new nonpartisan research center, with a pair of former governors on its advisory council, is setting out to provide lawmakers and voters with “real-time” analysis of key topics, including projected impacts of ballot questions.
Tufts University’s Jonathan M. Tisch College of Civic Life announced the launch of the Center for State Policy Analysis on Thursday.
Members of the center’s advisory council are: former Govs. Jane Swift and Michael Dukakis; Tisch College dean Alan Solomont; former Massachusetts Taxpayers Foundation President Michael Widmer; Massachusetts League of Community Health Centers general counsel and deputy CEO Michael Curry; Katherine Craven, chief administrative and financial officer at Babson College and the chair of the Board of Elementary and Secondary Education; Ted Landsmark, director of the Dukakis Center at Northeastern University; David Cash, dean of the John W. McCormack Graduate School of Policy and Global Studies at UMass Boston; Carolyn Ryan, senior vice president for policy and research at the Greater Boston Chamber of Commerce; A Better City Executive Vice President Kate Dineen; and Tufts political science professor Jeffrey Berry.
The original article can be found here.
Governor Michael Dukakis is a co-founder and Chair of the Boston Global Forum. He is also a co-founder of AI World Society Innovation Network and the Social Contract 2020.
by Editor | Feb 17, 2020 | News
From 27 to 29 of April 2020, at Harvard University and MIT, the Boston Global Forum (BGF) and World Leadership Alliance-Club de Madrid are co-organizing a transatlantic and multi-stakeholder dialogue on global challenges and policy solutions in the context of the need to create a new social contract on digital technologies and Artificial Intelligence (AI).
This Policy Dialog is the AIWS Summit 2020 and focuses on discussing and building the Social Contract 2020.
There are more than 15 head and former head of states and governments of the world attending, as well as distinguished thinkers and inventors as Professor Joseph Nye and Vint Cerf who will join as speakers.
At this special event, BGF will present the World Leader in AIWS Award and AIWS Distinguished Lecture. Recipients of the World Leader in AIWS Award in the past years were Secretary General of OECD Angel Gurria (2018), and father of Internet Vint Cerf (2019).
Recently, Professor Alex Pentland, MIT, one of co-founders of the Social Contract 2020, contributed new ideas:
Traditional capitalism has evolved into AI-driven capitalism, and people around the world are deeply concerned that this is undermining our societies’ social contract. The general feeling is that balance must be restored by constructing institutions and laws that control AI, and govern data rights, ownership, and use. This new social contract will require that we build new solutions for managing civic and government systems, for digital privacy and cybersecurity, and for providing more agile, inclusive, and transparent responses to societies’ problems and for funding of supporting infrastructure.
One idea for what this new social contract might look like is summarized by the phrase “stakeholder capitalism”, that is, capitalism that benefits everyone.
by Editor | Feb 17, 2020 | News
Artificial intelligence—code that learns—is likely to be humankind’s most important invention. It’s a 60-year-old idea that took off five years ago when fast chips enabled massive computing and sensors, cameras, and robots fed data-hungry algorithms.
We’re a couple of years into a new age where machine learning (a functional subset of AI), big data and enabling technologies are transforming every sector. In every sector, there is a big data set behind every question. Every field is computational: healthcare, manufacturing, law, finance and accounting, retail, and real estate. We all work with smart machines—and they are getting smart fast.
A World Economic Forum report indicated that 89% of U.S.-based companies are planning to adopt user and entity big data analytics by 2022, while more than 70% want to integrate the Internet of Things, explore web and app-enabled markets, and take advantage of machine learning and cloud computing
To support AI technology for future generation, AIWS Innovation Network has created AIWS Young Leaders program. The program currently includes Young Leaders from Australia, Austria, Belgium, Britain, Canada, Denmark, Estonia, France, Finland, Germany, Greece, India, Italy, Japan, Latvia, Netherlands, New Zealand, Norway, Poland, Portugal, Russia, Spain, Sweden, Switzerland, United States, and Vietnam.
by Editor | Feb 17, 2020 | News
The coronavirus, which emerged in Wuhan, China, continues deadly. More than 31,000 people have now been contracted in China and 630 people have died, per latest figures released by authorities. As the virus already became a global health emergency, AI researchers are applying machine learning techniques to predict where it may expand elsewhere, so that we can proactively and effectively allocate resources and block the outbreak.
A research group in the UK, led by Professor Andy Tatem of the University of Southampton, used anonymized historical data from smartphones, supplied by the Chinese search company Baidu, to model how the virus may have moved out of Wuhan in the early days after it appeared. Another group of researchers used data from Tencent, who owns the popular Chinese app WeChat, to model the contagion, suggesting that the travel restrictions imposed by China may have slowed the spread of the disease by a few days.
However, it is useful to predict where the outbreak may have been expanding next. As reported on Wired, an international team is using machine learning to analyze social media posts, news reports, health public and information supplied by doctors for warning symptoms of the virus. “We are moving to surveillance efforts in the US,” said John Brownstein, CIO of Harvard Medical school and a member on the team. “We’re trying to understand what’s happening in the population at large.”
Alessandro Vespignani, a professor at Northeastern University who specializes in modeling contagion in large populations, says it is difficult due to the lack of historical data. He, however, believes that if the disease spreads more widely in the US, it should become easier to monitor its spread by applying AI.
Indeed, the approach has so far proven capable of spotting a coronavirus needle in a haystack of big data. More information can be found here, including the methods applied.
According to AI application to the society, AI World Society has established AIWS Innovation Network will connect key AI actors and provide services that can assist in the development of AI.
by Editor | Feb 9, 2020 | News
MIT IDE co-founders, Erik Brynjolfsson and Andrew McAfee, participated in several panel discussions and interviews at this year’s World Economic Forum in Davos, Switzerland, as did IDE co-lead Sandy Pentland.
In a year when the main headlines dominating the week were the perils of climate change, declining democracy, and capitalism in crisis, MIT leaders jumped into the fray. Brynjolfsson and McAfee (in photo above) spoke with Yahoo! Finance about what it will take for the U.S. to hold onto its leadership in AI against rivals such as China. Both pointed out how inextricably linked AI and other technologies are with immigration policies and government investment. In particular, they decried the immigration limits on scholars allowed to come to the U.S., and they emphasized need to amp up basic research funding here in the States.
“The key is to not lose the position that we have,” said McAfee. “When the world’s most intelligent, ambitious, and tenacious people in this field want to come to America to build their lives and careers and we put this Kafka-esque barriers in their place… if our president is on board, let’s get these people here.” Read more and watch the video here.
Among the highlights:
- McAfee also took part in a lively discussion on Debunking the Limits to Growth, a premise of his recently released new book, More From Less. Discussion leader, Professor Mariana Mazzucato, of theUniverity College London, contrasted McAfee’s pro-capitalism, pro-technology stance with that of Robert Habeck, Chair of the German Green Party. Watch the full video here.
- Earlier in the week, McAfee participated in a panel sponsored by Accenture on Technology, Business, and Society in the 4th Industrial Revolution. McAfee was joined by Alan Murray, President and CEO of Fortune, and Stephanie Linnartz, Global Chief Commercial Officer of Marriott International. The session was moderated by Paul Daugherty, Chief Technology and Innovation Officer at Accenture. Watch the video here.
- He spread his message about using innovation to address environmental woes and spur growth at a session sponsored by Deutsche Bank. Watch the conversation here.
- Additionally, as part of the MIT Connection Science Summit, Sandy Pentland hosted Imagination in Action on January 21 exploring how to extend human intelligence to support a sustainable future. Tata Consultancy Services, MIT Connection Science, Forbes, and Global Citizen gathered a selection of the foremost thinkers and innovators at Davos to exchange perspectives and offer solutions on how to unleash our collective intelligence through the growing power of technology. Read more about the Summit here.
- The event also partnered with Global Citizen, an international advocacy organisation with a mission to fight for equality, tackle climate change and end extreme poverty by 2030. Learn more about Global Citizen, Teneo and Global Goal Live HERE.
The original article can be found here.
Professor Alex Sandy Pentland is a co-founder of AIWS Innovation Network, as well as a co-founder of the Social Contract 2020.
by Editor | Feb 9, 2020 | News
The World Leadership Alliance – Club de Madrid (WLA-CdM), in partnership with the Boston Global Forum (BGF), is organizing a transatlantic and multi-stakeholder dialogue on global challenges and policy solutions in the context of the need to create a new social contract on digital technologies and Artificial Intelligence (AI).
To get ideas and opinions from global leaders and distinguished thinkers for policy dialog from April 27 to 29 at Harvard, and MIT, and contribute for United Nations 2045 project, the Boston Global Forum, World Leadership Alliance-Club de Madrid, and United Nations Academic Impact co-organize AIWS Innovation Network Roundtable, an online discussion on AIWS Innovation Network (AIWS-IN). It started from 02/02/2020 with discussion between Mr. Nguyen Anh Tuan, CEO of BGF, co-founder of AIWS-IN, and Mr. Ramu Damodaran, Chief of United Nations Academic Impact. Governor Michael Dukakis, co-founder of AIWS-IN, is the moderator of the AIWS-IN Roundtable with participants such as Professor Alex Sandy Pentland, MIT, co-founder of AIWS-IN, Professor David Silbersweig, Harvard, co-founder of AIWS-IN, professor Nazli Choucri, MIT, co-founder of AIWS-IN, and professor Joseph Nye, Harvard. The AIWS-Roundtable will finish on April 20, 2020. The discussion focuses on balance centers of power and balance of new great powers. AI Assistants, a new center of power, will be discussed to find out solutions, regulations, and practice to manage and govern it. This is a part of the Social Contract 2020.
by Editor | Feb 9, 2020 | News
The Electronic Privacy Information Center (EPIC) filed a petition with the Federal Trade Commission (FTC) today seeking regulations for the use of artificial intelligence (AI) technologies.
EPIC – a public interest group that focuses on data privacy issues – said it decided to file the FTC petition after filing complaints regarding the use of AI in employment screening, as well as the secret scoring of young athletes.
“The injuries caused to consumers by commercial AI use are substantial and frequently unavoidable,” EPIC wrote. “In assessing privacy-related injuries to consumers, the Commission typically focuses on the sensitivity of the personal data at issue, the relationship between the consumer and the business(es) engaged in the challenged practice, and the consumers’ knowledge of and agency over the practice,” the group said.
EPIC also pointed to sentiments of support at the FTC for updated regulations on AI use, including quoting FTC Commissioner Rebecca Kelly Slaughter as saying last month, “it is imperative for the FTC to take all action within its authority right now to protect consumers in this space.”
Additionally, EPIC took note of the Office of Management and Budget’s (OMB) Guidance for Regulation of AI, pointing out that it “applies to all Federal agencies,” while incorporating many aspects of the Organization for Economic Cooperation and Development (OECD) Principles on AI.
“Only by initiating a rulemaking on AI can the Federal Trade Commission preserve the rights of American consumers, defend American values, protect privacy, and promote civil rights,” EPIC wrote.
Electronic Privacy Information Center (EPIC) has been led by Marc Rotenberg (President and Executive Director of EPIC). He is also one of mentors and an important contributor to AI World Society Innovation Network (AIWS-IN), which is part of AIWS to identify, publish and promote principles for the virtuous application of AI in different domains including healthcare, education, transportation, national security, and other areas.
The original article can be found here.
by Editor | Feb 9, 2020 | News
One of the biggest challenges operations groups will face over the coming year will be learning how to support AI- and ML-based applications. On one hand, ops groups are in a good position to do this; they’re already heavily invested in testing, monitoring, version control, reproducibility, and automation. On the other hand, they will have to learn a lot about how AI applications work and what’s needed to support them. There’s a lot more to AI Operations than Kubernetes and Docker. The operations community has the right language, and that’s a great start; I do not mean that in a dismissive sense. But on inspection, AI stretches the meanings of those terms in important but unfamiliar directions.
Three things need to be understood about AI.
First, the behavior of an AI application depends on a model, which is built from source code and training data. A model isn’t source code, and it isn’t data; it’s an artifact built from the two. Source code is relatively less important compared to typical applications; the training data is what determines how the model behaves, and the training process is all about tweaking parameters in the application so that it delivers correct results most of the time.
Second, the behavior of AI systems changes over time. Unlike a web application, they aren’t strictly dependent on the source. Models almost certainly react to incoming data; that’s their point. They may be retrained automatically. They almost certainly grow stale over time: users change the way they behave (often, the model is responsible for that change) and grow outdated.
Last, and maybe most important: AI applications are, above all, probabilistic. Given the same inputs, they don’t necessarily return the same results each time. This has important implications for testing. We can do unit testing, integration testing, and acceptance testing—but we have to acknowledge that AI is not a world in which testing whether 2 == 1+1 counts for much. And conversely, if you need software with that kind of accuracy (for example, a billing application), you shouldn’t be using AI. In the last two decades, a tremendous amount of work has been done on testing and building test suites. Now, it looks like that’s just a start. How do we test software whose behavior is fundamentally probabilistic? We will need to learn.
To support and collaborate AI application and operation, Artificial Intelligence World Society Innovation Network (AIWS-IN) created AIWS Young Leaders program including Young Leaders and Experts from Australia, Austria, Belgium, Britain, Canada, Denmark, Estonia, France, Finland, Germany, Greece, India, Italy, Japan, Latvia, Netherlands, New Zealand, Norway, Poland, Portugal, Russia, Spain, Sweden, Switzerland, United States, and Vietnam.
The original article can be found here.
