Session on the Political Power in the Digital Age at the Riga Conference 2019

Session on the Political Power in the Digital Age at the Riga Conference 2019

The Rīga Conference has become a unique venue for constructive dialogue on international security issues between leading global decision makers. The event is organized jointly by the Latvian Transatlantic Organisation (LATO), the Ministry of Defence of the Republic of Latvia, and the Ministry of Foreign Affairs of the Republic of Latvia. We facilitate debates at various levels, engaging high-level politicians, diplomats, experts, as well as local and international media. By attracting key international players and tackling the most pressing issues that our societies currently face, The Rīga Conference demonstrate its commitment to think and work in a global context.

Over the course of the last decade years, The Rīga Conference has built its name and reputation across the region. Highlights have included having the Prime Ministers of Latvia, Poland, Estonia, Lithuania, and Finland together in the same room to discuss economic growth in a time of austerity; the presentation by Georgian President Mikheil Saakashvili in 2008 and the address by President of the United States George W. Bush in 2006.

At this year’s conference, amongst other things, The Riga Conference will consider EU role in rise of geoeconomics, security challenges in the information age and hybrid warfare, transatlantic relationship as a critical axis of global stability, relations between Russia and the West as well as prospects of Eastern Partnership countries, and the PLENARY SESSION: POLITICAL POWER IN THE DIGITAL AGE. The Riga Conference 2019 will take place on Oct 11 and 12 at National Library of Latvia.

The Founder of the Riga Conference is the former President of Latvia, Vaira Vike-Freiberga.

Governor Dukakis discusses the framework for peace and security

Governor Dukakis discusses the framework for peace and security

Governor Michael Dukakis, Co-founder and Chairman of the Boston Global Forum, will lead a discussion for a framework for peace and security in the 21st century at Consulate General of Greece in Boston. Professors of Harvard, MIT, and the US Naval World College will attend and discuss. The world needs a framework to keep peace and security in the 21st century.

Today, there are many challenges and threats to peace in the world: extreme nationalism, new dictatorships, totalitarianism, fake news, cyberattacks, global power’s power projection on their smaller neighbours, illegal threatening of others’ sovereignty, violations of international laws, using centralised power and massive population of to create unfair competition in the economy, arm races, etc.

Which roles can the US, the EU, and other democratic countries play against non-democratic powers which utilise authoritarianism and nationalism?

The roundtable will take place at 5:30 pm, Sept 9, 2019, the World Reconciliation Day, at Greece Consulate General in Boston, 86 Beacon street, Boston, MA 02108. The Greek Consul General in Boston, Stratos Efthymion, will co-host this roundtable.

Michel Servoz discusses the Social Contract 2020

Michel Servoz discusses the Social Contract 2020

Dr. Michel SERVOZ is the Special Adviser to the President of European Commission, Jean-Claude Juncker, for Robotics, Artificial Intelligence, and the Future of Labour, joins the Social Contract 2020 Team and discusses about:

  1. Data protection and the potential to come to some kind of agreement/understanding on an international data rule book: the issue of data use is also very important from a European perspective to enable access to AI by small companies;
  2. Tax: the light of the recently announced French digital tax (which will be appear in several other EU countries soon), and also in the light of announcements by some Presidential hopefuls in the US.
  3. Digital money: big differences across countries: China is ahead of everyone else, while Europe is very conservative on the issue. Again, the world need for a rule book to set some international standards (as we have for banking, i.e Basel III);
  4. Algorithms as law: the issue is to move from general principles on the use of AI to concrete rules on what to do and not do; general principles have been adopted by different countries and corporations, but they are not very concrete and do not foresee means of redress; how do we establish enforceable principles without creating a bureaucratic burden for investors and researchers?
  5. Dictatorship: issues concerning the competitive position of the big players: all the big players are US and China based, enjoying quasi-monopoly positions in some sectors, European companies are very small in this field, and emerging economies are largely absent from AI; the later will create dangerous imbalances, of will increase seriously some existing imbalances. How can we make sure that AI benefit to the economic development of all countries?
The Time for AI Is Now. Here’s Why

The Time for AI Is Now. Here’s Why

You hear a lot these days about the sheer transformative power of AI.

There’s pure intelligence: DeepMind’s algorithms readily beat humans at Go and StarCraft, and DeepStack triumphs over humans at no-limit hold’em poker. Often, these silicon brains generate gameplay strategies that don’t resemble anything from a human mind.

There’s astonishing speed: algorithms routinely surpass radiologists in diagnosing breast cancer, eye disease, and other ailments visible from medical imaging, essentially collapsing decades of expert training down to a few months.

Although AI’s silent touch is mainly felt today in the technological, financial, and health sectors, its impact across industries is rapidly spreading. At the Singularity University Global Summit in San Francisco this week Neil Jacobstein, Chair of AI and Robotics, painted a picture of a better AI-powered future for humanity that is already here.

The bottom line: people who will be impacted by AI need to be in the room at the conception of an AI solution. People will be displaced by the new technology, and ethical AI has to consider how to mitigate human suffering during the transition. Just because AI looks like “magic fairy dust doesn’t mean that you’re home free,” the panelists said. You, the sentient human, bear the burden of being responsible for how you decide to approach the technology.

The original article can be found here.

According to Michael Dukakis Institute for Leadership and Innovation (MDI), ethical AI is also an important topic for Artificial Intelligence World Society (AIWS). We will need to constructively develop AI for helping everyone achieve well-being and happiness as well as ethical norms, especially avoiding bias and enhancing transparency.

Bringing DevOps Control To Bear On AI Applications

Bringing DevOps Control To Bear On AI Applications

Enterprises are putting a lot of time, money, and resources behind their nascent Artificial Intelligence (AI) efforts, banking on the fact that they can automate the way application leverage the massive amounts of customer and operational data they are keeping. The challenge is not just to bringing machine learning into the datacenter. It has to fit into the workflow without impeding it. For many, that’s easier said and done.

Dotscience, a startup comprised of veterans from the DevOps world, dropped out of stealth mode this week and published a report that showed that enterprises may not be reaping the rewards from the dollars they are putting behind their AI projects. According to the report, based on a survey of 500 IT professionals, more than 63 percent of businesses are spending anywhere from $500,000 to $10 million on AI programs, while more than 60 percent also said they are confronting challenges with the operations of these programs. Another 64.4 percent that are deploying AI in their environments found that it is taking between seven and 18 months to move these AI workloads from an idea into production.

There’s a need to ensure that not only can machine learning developers collaborate and make code that can be reproduced but also easily track models and data, trace the a model from its training data back to the raw data (provenance), view relationships between parameters and metrics and monitor models to ensure they are behaving as expected. In addition, they need to be able to attach external S3 datasets and to attach to any system, from a laptop and a GPU-powered machine to datacenter hardware and cloud instances.

The original article can be found here.

The end-to-end integration of AI applications with enterprise system is essential for any company business, which is also highlighted in AI Ethics report by AI World Society (AIWS) for developing AI algorithms and data management with ethical principles and practices.