Professor Judea Pearl and the Causal Revolution

Professor Judea Pearl and the Causal Revolution

Professor Judea Pearl is the father of “Causal Revolution”, a breakthrough in AI to help machine learning can answer question “Why?” and solve problem automating human-level intelligence (sometimes called “strong AI”).

The Boston Global Forum and Michael Dukakis Institute honored him as 2020 World Leader in AIWS.

We introduce sophisticated ideas of Professor Judea Pearl:

“Current machine learning systems operate, almost exclusively, in a statistical, or model-free mode, which entails severe theoretical limits on their power and performance. Such systems cannot reason about interventions and retrospection and, therefore, cannot serve as the basis for strong AI. To achieve human level intelligence, learning machines need the guidance of a model of reality, similar to the ones used in causal inference tasks. To demonstrate the essential role of such models, I will present a summary of seven tasks which are beyond reach of current machine learning systems and which have been accomplished.

I believe that causal reasoning is essential for machines to communicate with us in our own language about policies, experiments, explanations, theories, regret, responsibility, free will, and obligations—and, eventually, to make their own moral decisions.”

Professor Judea Pearl received the Turing Award in 2012 with Causal Inference Model, to support and help machine learning can answer question “Why”.

Yoshua Bengio received the Turing Award in March 2019, and wrote an article on Wired August 2019, to show his interest to build Algorithms to Understand the “Why”.

AI World Society Innovation Network has a new logo and domain name

AI World Society Innovation Network has a new logo and domain name

When Michael Dukakis Institute set up AI World Society Innovation Network in December 2019 at Loeb House, Harvard University, we would like to use domain name AIWS.net, but at that time, this domain name was already bought and owned by one party, but they do not use it. So, we had to use domain name AIWS.world. After launching on December 12, 2019, AIWS attracted many distinguished thinkers, and world leaders. In February, 2020, AIWS Innovation Network become platform for United Nations Centennial 2045 project. With its position, domain name AIWS.net became a very good domain, and very meaningful with name of the Network, so we negotiated to buy the domain name, and successfully on March 16. From March 17, 2020, people can access AIWS Innovation Network at the domain name AIWS.net. AIWS.net is also the short name of AIWS Innovation Network.

On March 10, 2020, Mr. Nguyen Anh Tuan and professor Judea Pearl, Mentor of AIWS.net, met and discussed at office of Professor Pearl at UCLA, Mr. Tuan and professor Pearl liked idea “For a better world with AI”, and use it as slogan of AIWS.net.

With the new domain name, leaders of AIWS.net like to design a new logo for AIWS.net. From March 26, 2020, AIWS.net appeared with its new logo.

Japanese Politicians discussed on AIWS.net Roundtable

Japanese Politicians discussed on AIWS.net Roundtable

Standards which are introduced in the Social Contract 2020 received support from Japanese politicians on AIWS.net Roundtable. Japanese leaders enthusiastically joined the events of the Boston Global Forum from 2015. In an exciting discussion of Japanese politicians, Ambassador Ichiro Fujisaki, former Japanese Ambassador to the United States, current distinguished professor and Chairman for International Strategies of Sophia University, President of Nakasone Peace Institute, and President of the America-Japan Society, sees this is an important endeavor. He links to Covid-19 pandemic, and raised two points that need to solve:

  1. If the country in question, in this case China, is not admitting its responsibility, who can identify which country should be responsible?
  2. Also, if an international organization, in this case WHO, is not reliable and seemingly pressurized by a power, in this case China, how shall we feel with such a situation?

AIWS.net Roundtable will invite distinguished thinkers and world leaders to dialogue with Ambassador Ichiro Fujisaki on these two questions.

New Artificial Intelligence Priorities in the COVID-19 Era

New Artificial Intelligence Priorities in the COVID-19 Era

The COVID19 outbreak has changed the world faster than anyone could have imagined.

Forced isolation has shifted meetings and activities to go on through web collaboration tools.

Arguably most importantly, the virus has ground the entire economy to a halt. For some industries (travel, retail, food services, fitness), unemployment is already rampant, and for more remote-friendly industries (tech, media), work may go on, but sales are slowed or frozen, and receivables less likely to convert to revenue than ever.

The downsides of the virus are easy to see – but business and public sector leaders are forced to think about the silver lining. Not just how they can survive this downturn, but how they can emerge stronger and more resilient from the rubble.

Some firms will say that they just don’t have any time to think about technology strategy.

In the next two weeks, that may be true. But over the coming month, differences in technology focus will come to define the future of entire industries, and will separate the relevant from the irrelevant.

  • Innovation and strategy leaders who can communicate with company leadership and use new data and perspective to drive new initiatives will find a way forward through the crisis.
  • Consultants who can actively inform their clients about smart technology and AI use-cases in this crisis will be able to stay relevant.
  • Companies who slowly get back to the same “business as usual” will be outmatched by firms who have found new ways to drive efficiencies and new ways to serve customers (i.e. by firms who have taken this crisis as an opportunity for vital strategic change).

The original article can be found here.

To support and develop AI applications for world society matters, Artificial Intelligence World Society Innovation Network (AIWS.net) 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.

4 Customer Service AI Applications That Work Today

4 Customer Service AI Applications That Work Today

Customer service agents benefit from real-time and historical sentiment analysis that takes the guesswork out of reading emotions — especially on phone calls or text-based digital interactions. This gives businesses the insight they need to deliver hyper-personalized experiences. In fact, AI-driven sentiment analysis data has a bevy of uses that elevate emotional intelligence among CX professionals.

For most companies, the process of measuring customer satisfaction occurs far too late in the journey. Traditional customer feedback surveys typically rate experiences after the fact, resulting in stale data that does not help agents in the moment. Proactive customer service requires real-time analysis for positive resolutions and more impactful connections.

Thanks to AI-driven natural language processing, machine learning and computational linguistics, customer service professionals can see accurate sentiment analysis data before their conversation even begins, promoting a service culture that emphasizes empathy and relationship-building.

The original article can be found here.

According to AI development and essential application to society, Michael Dukakis Institute for Leadership and Innovation (MDI) established the Artificial Intelligence World Society Innovation Network (AIWS.net) for the purpose of promoting ethical norms and practices in the development and use of AI in different areas, including customer service and health care support.