 There are honored Vietnamese leaders that will join the United Nations 2045 Roundtable “A Distinguished City to honor the United Nations’ the First Century” at 8:30 am – 10:00 am EDT, March 17, 2021, including:
Mr. Le Tuan Phong, Governor Binh Thuan; Mr. Vu Hai Quan, Chancellor of Vietnam National University at Ho Chi Minh City; Mr. Duong Anh Duc, Vice Chairman of Government of Ho Chi Minh City; Mr. Nguyen Trung Khanh, Chairman of Vietnam National Agency of Tourism; and Mr. Bui Thanh Nhon, Chairman of Nova Group.
Mr. Ramu Damodaran, Chief of the United Nations Academic Impact and Editor in Chief of the United Nations Chronicle Magazine, will give opening remarks, then panelists will speak and discuss about combining AIWS City Phan Thiet and NovaWorld Phan Thiet, making it a Distinguished City to honor the United Nations at 2045.
Mr. Kamal Malhotra, UN Resident Coordinator in Vietnam, will speak on “The United Nations and development of Vietnam.”
Governor Michael Dukakis will share his experiences as Governor of Massachusetts, while Professor Thomas Patterson will present the unique and pioneering of AIWS City.
Professor Alex Sandy Pentland will present applications of his new visions about economy and finance in AIWS City.
Governor Le Tuan Phong, Chairman Bui Thanh Nhon, and leaders of Vietnam will present about Phan Thiet and NovaWorld Phan Thiet.
Then Professor John Quelch will speak how to turn the combination of AIWS City and Phan Thiet into a global brand.
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On April 7, 2021, CAIDP at the Michael Dukakis Institute and the AI World Society will host a screening of the widely acclaimed film Coded Bias. CAIDP Senior Research Director Merve Hickok, founder of the AIEthicist.org, will lead a conversation with Director Shalini Kantayya prior to the screening.
About the Film
“In an increasingly data-driven, automated world, the question of how to protect individuals’ civil liberties in the face of artificial intelligence looms larger by the day. Coded Bias follows M.I.T. Media Lab computer scientist Joy Buolamwini, along with data scientists, mathematicians, and watchdog groups from all over the world, as they fight to expose the discrimination within facial recognition algorithms now prevalent across all spheres of daily life.
“While conducting research on facial recognition technology at the M.I.T. Media Lab, Buolamwini, a "poet of code," made the startling discovery that the algorithm could not detect dark-skinned faces or women with accuracy. This led to the harrowing realization that the very machine-learning algorithms intended to avoid prejudice are only as unbiased as the humans and historical data programming them.
“Coded Bias documents the dramatic journey that follows, from discovery to exposure to activism, as Buolamwini goes public with her findings and undertakes an effort to create a movement toward accountability and transparency, including testifying before Congress to push for the first-ever legislation governing facial recognition in the United States.”
About Buolamwini
Joy Adowaa Buolamwini is a Ghanaian-American computer scientist and digital activist based at the MIT Media Lab. She founded the Algorithmic Justice League, an organization that looks to challenge bias in decision making software. She has testified before Congress about the dangers of facial recognition and she has called for a complete ban of police use of face surveillance. She has championed the need for algorithmic justice at the World Economic Forum and the United Nations.
Fortune Magazine described her as “the conscience of the A.I. Revolution.” In 2020, the AI World Society recognized Buolamwini as one of the leaders in History of AI 2020
Coded Bias premieres on PBS on March 22, 2021.
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This week in The History of AI at AIWS.net - in 1963 Edward Feigenbaum and Julian Feldman published Computers and Thought, a book composed of articles on Artificial Intelligence, the first of its kind. Feigenbaum and Feldman edited and wrote some of the articles but they were not the the only contributors. Computers and Thought includes 20 articles from notable AI pioneers such as Alan Turing, Marvin Minsky, Allan Newell, Herbert Simon, and others.
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.
Julian Feldman is an American computer scientist with an eye on Artificial Intelligence. Feldman studied at the University of Chicago for his undergrad; received an M.A. in political science; before going to Carnegie Mellon’s Graduate School of Industrial Administration for his Ph.D. He held a tenured position at UC Berkeley, before leaving it to help build UC Irvine, where he would create its Information and Computer Sciences department, the first ICS school in the UC system. Feldman also wrote papers and articles on connectionism, a fairly contentious topic within AI and computer science.
The HAI Initiative considers this book an important event in the history of AI due to its culmination of various thoughts on AI from its pioneers. Feigenbaum and Feldman themselves are also notable figures in the development of artificial intelligence.
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It is a mistake to equate the content of human knowledge with its sense-data origin. The format in which knowledge is stored in the mind (or on a computer) and, in particular, the balance between its implicit vs. explicit components are as important for its characterization as its content or origin.
While radical empiricism may be a valid model of the evolutionary process, it is a bad strategy for machine learning research. It gives a license to the data-centric thinking, currently dominating both statistics and machine learning cultures, according to which the secret to rational decisions lies in the data alone.
A hybrid strategy balancing “data-fitting” with “data-interpretation” better captures the stages of knowledge compilation that the evolutionary processes entails.
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We are delighted to introduce the article on Tampa Bay Times of Professor John Quelch, Co-founder of the Boston Global Forum.
Rediscover our allies: The road to Beijing passes through Brussels. With eight years of experience as vice president, Biden knows many of the key players in Europe and he is appointing experienced diplomats to reboot quickly our traditional European alliances. He has swiftly rejoined the Paris Climate Accord and the World Health Organization. In Asia, Trump over-emphasized India and shortchanged Japan and Korea. We must swiftly mend fences and hammer out common positions with our allies in both regions to steadfastly oppose China’s human rights violations, military incursions and economic piracy.
Invest more in research: The United States still boasts 15 of the top 20 research universities in the world. We have a terrific research infrastructure. R&D expenditures need to increase to 3.5 percent, perhaps 4 percent of GDP. Let’s offer private companies enhanced tax incentives to invest in basic research. Let’s also reopen our borders to qualified scientists who seek to immigrate here.
Don’t decouple, diversify: With bilateral trade exceeding $700 billion per year and more than 100,000 cross-border investments between China and the United States, decoupling is not an option. But a reassessment of our supply chains to insure multiple overseas sources and domestic production of strategic goods, even if there is a cost penalty, is essential. Biden’s announced $2 trillion infrastructure program will boost technological innovation in 5G and beyond, create millions of good jobs and modernize the U.S. transportation, energy and telecommunications sectors.
Call out China: Through its $1 trillion belt and road initiative, China offers loans to emerging economies to build ports, roads and other infrastructure. But when the revenues promised in the contracts don’t materialize, Chinese banks take ownership. From Sri Lanka to Argentina, countries have forfeited important assets to this “debt trap diplomacy.” We must demonstrate to world leaders how easily Chinese foreign aid can lead to indentured servitude.
Promote our values: Pointing out China’s flaws is not enough. We and our allies must do a much better job of nurturing and promoting democracy, showing the world by example how freedom of expression and respect for diversity spawns more creativity and innovation, and how a regulated free market can generate greater and more equitably distributed prosperity than a command-and-control economy with one party rule. Only one in 12 Chinese citizens is a member of the Chinese Communist party — tens of millions of Chinese want more.
Communicate to cooperate: As competition between China and the United States intensifies, there is precious little room for loose rhetoric or error. A miscalculation in the South China Sea or in Taiwanese air space could trigger a skirmish or worse. We need to restore regular high-level dialogues with China and seek opportunities for cooperation on all issues from climate change to global public health simply because the fates of both our nations are mutually dependent.
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On Friday, March 12, Marc Rotenberg, Director of Center for AI and Digital Policy at Michael Dukakis Insitute, gave a lecture at ETU-AIWS Leadership Master Program. This is a collaboration between AIWS University at AIWS City and Saint Petersburg Electronical University (ETU”LETI”).
Rotenberg presented a perspective of International law in the AI and digital fields.
The homework for students is to find solutions to convince governments in joining international community to build international law in the AI and Digital realms.
Here is the link to Mr. Rotenberg’s lecture.
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