by BGF | Feb 24, 2019 | News
With the Fourth Industrial Revolution, we stand on the brink of a technological revolution that will fundamentally change our lives. Much of that is thanks to disruptive innovations in the computing field, in particular AI. At the same time, according to world-renowned Professor Moshe Y. Vardi of Rice University, a Fellow of the Association for Computing Machinery and the American Mathematical Society, the field seems to face a public image crisis, viewed by many as the crisis of trust.
Indeed, strong concerns about ethics in computing came from the media and press. Many colleges are also hurriedly integrating ethics into their computing curricula. The narrative is that what ails tech today is a deficit of ethics, and the remedy, therefore, is an injection of ethics.
However, is this crisis real, and is how we are responding today the right solution? Professor Vardi raised these questions in an interesting op-ed he penned in last month’s publication of the ACM Communications. He compared today’s computing to the early 20th century’s automobile manufacturing. The solution to automobile crashes is not ethics training for drivers, but public policy, which makes transportation safety a public priority. Similarly, he argues that the current crisis with Computing is not an ethics crisis; it is a public policy crisis, and we need proper policies!
(See Professor Vardi’s full article HERE.)
This goes along well with the vision and goal of AI World Society (AIWS). AIWS was founded by the Michael Dukakis Institute for Innovation and Leadership indeed for the purpose of promoting ethical norms and practices in the development and use of AI. We recognized the importance of ethics guidelines at the policy level and recently published a comprehensive report about AI Ethics; link below:
http://bostonglobalforum.org/bgf2022/2018/12/aiws-report-about-ai-ethics/
by BGF | Feb 24, 2019 | News
Researchers at Stanford University and CEA-Leti unveiled the prototype computer-on-chip on February 19 at the International Solid State Circuits Conference in San Francisco.
It is the world’s first circuit integrating multiple-bit non-volatile memory (NVM) technology called Resistive RAM (RRAM) with silicon computing units, as well as new memory resiliency features that provide 2.3-times the capacity of existing RRAM. Its target applications include energy-efficient, smart-sensor nodes to support Artificial Intelligence on the Internet of Things, or “Edge AI”.
The research innovation is to unite memory and processing into one chip because it is faster and more efficient than passing data back and forth between separate chips as is the case today. This innovation has also a strong impact for Edge AI applications with energy saving, which is aligned with the AI Practices Index designed by AI World Society (AIWS).
In the optimistic future, Edge AI with the Internet of Everything applications, even now the way that the prototype combines memory and processing could be incorporated into the chips found in smartphones and other mobile devices. “This is what engineers do,” said Subhasish Mitra, a Stanford professor of electrical engineering and computer science, who demonstrated as a strong design Ethics which has also been promoted by AIWS.
by BGF | Feb 24, 2019 | News
“If a country adopts this [Huawei equipment] and puts it in some of their critical information systems, we won’t be able to share information with them, we won’t be able to work alongside them,” Pompeo said during an interview with Fox Business on Thursday Feb 21, 2019.
It’s got a lot to do with the role of 5G and whether China could use security back doors to exert undue control over a nation’s digital infrastructure via Huawei’s equipment. Confusingly, on the same day as Pompeo’s comments, President Donald Trump tweeted that he wanted the US to win in 5G development “through competition, not by blocking out currently more advanced technologies.”
In an interview with the BBC , Huawei founder Ren Zhengfei said the company has never installed back doors into its technology and never would do so, even if required to by Chinese law.
But big problem of China Government and Business now is they said and they did difference, people do not trust on them.
How can the Chinese government and businesses recover the trust of people? They should be more open, promote transparency, and decentralize power, sharing them to Chinese people, who will have a real say in supervision of the Chinese government. Openness, transparency, and accountability by the government are parts of the criteria of AI World Society (AIWS) Ethics Index that was announced on December 3, 2018 by the Michael Dukakis Institute for Leadership and Innovation.
by BGF | Feb 24, 2019 | News
Silver’s latest creation, AlphaZero, learns to play board games including Go, chess, and Shogi by practicing against itself. Through millions of practice games, AlphaZero discovers strategies that it took humans millennia to develop.
So could AI one day solve problems that human minds never could?
Geordie Wood
When you have something learning by itself, that’s building up its own knowledge completely from scratch, it’s almost the essence of creativity.
AlphaZero has to figure out everything for itself. Every single step is a creative leap. Those insights are creative because they weren’t given to it by humans. And those leaps continue until it is something that is beyond our abilities and has the potential to amaze us.
In the future, AI systems can have reasonable thinking on the same level as the human brain, in which intelligent machines operate like human beings, therefore we need to organize a society that incorporates them into our lives. The Michael Dukakis Institute generated the AI World Society (AIWS) Initiative to build that society.
by BGF | Feb 24, 2019 | News
Jay Boisseau, Ph.D., and Lucase Wilson, Ph.D., who are Artificial Intelligence (AI) strategist and researcher at Dell EMC, described some fundamental technologies and processes that enable enterprises to put AI to transform their businesses.
In the article, they articulated and elaborated main building AI blocks including Data analytics, Data science, Data Engineering as well as Machine Learning and Deep Learning. These techniques are key enablers for drawing data insights about the present and making data predictions about the future, which are commonly essential for enterprises such as predictive maintenance in manufacturing, forecasting sales in retail stores, medical diagnosis in healthcare etc.
The development of AI changes the ground rules for decision-making in both enterprise and society, which is also initially developed and promoted by AI World Society (AIWS). Especially, AI is a disruptive technology to transform our society and human life quality with wide range of applications such as stronger customer relationships, smarter business decisions, shorter process, as well as better products and services to market.
