Wagner and Furst exhaustively explore the inner workings and implications of AI in their new book, “AI Supremacy: Winning in the Era of Machine Learning”. Each chapter focuses on the current and future state of AI within a specific industry, country or society in general. Special emphasis is placed on how AI will shape the domestic, diplomatic and military landscapes of the US, EU and China.
Here is an interview with Daniel Wagner
Can you briefly explain the differences between artificial intelligence, machine learning, and deep learning?
Artificial intelligence (AI) is the overarching science and engineering associated with intelligent algorithms, whether or not they learn from data. However, the definition of intelligence is subject to philosophical debate-even the terms algorithms can be interpreted in a wide context. This is one of the reasons why there is some confusion about what AI is and what is not, because people use the word loosely and have their own definition of what they believe AI is. People should understand AI to be a catch-all term for technology which tends to imply the latest advances in intelligent algorithms, but the context in how the phrase is used determines its meaning, which can vary quite widely.
Machine learning (ML) is a subfield of AI that focuses on intelligent algorithms that can learn automatically (without being explicitly programmed) from data. There are three general categories of ML: supervised machine learning, unsupervised machine learning, and reinforcement learning.
Deep learning (DL) is a subfield of ML that imitates the workings of the human brain (or neural networks) in the processing of data and creating patterns for use in decision-making. It is true that the way the human brain processes information was one of the main inspirations behind DL, but it only mimics the functioning of neurons. This doesn’t mean that consciousness is being replicated, because we really do not understand all the underlying mechanics driving consciousness. Since DL is a rapidly evolving field there are other more general definitions of it, such as a neural network with more than two layers. The idea of layers is that information is processed by the DL algorithm at one level and then passes information on to the next level so that higher levels of abstraction and conclusions can be drawn about data.
Is China’s Social Credit Score system about to usher in an irreversible Orwellian nightmare there? How likely is it to spread to other dictatorships?
The social credit system that the Chinese government is in the process of unleashing is creating an Orwellian nightmare for some of China’s citizens. We say “some” because many Chinese citizens do not necessarily realize that it is being rolled out. This is because the government has been gradually implementing versions of what has become the social credit system over a period of years without calling it that. Secondly, most Chinese citizens have become numb to the intrusive nature of the Chinese state. They have been poked and prodded in various forms for so long that they have become accustomed to, and somewhat accepting, of it. That said, the social credit system has real consequences for those who fall afoul of it; they will soon learn about the consequences of having done so, if they have not learned already.
As we note in the book, the Chinese government has shared elements of its social credit system technology with a range of states across the world. There is every reason to believe that authoritarian governments will wish to adopt the technology and use it for their own purposes. Some have already done so.
How can we stop consumer drones from being used to aid in blackmail, burglary, assassination, and terrorist attacks?
As Daniel notes in his book Virtual Terror, governments are having a difficult time keeping track of the tens of millions of drones that are in operation in societies around the world. Registering them is largely voluntary and there are too few regulations in place governing their use. Given this, there is little that can be done, at this juncture, to prevent them from being used for nefarious purposes. Moreover, drones’ use on the battlefield is transforming the way individual battles will be fought, and wars will be waged. We have a chapter in the book devoted to this subject.
Google, YouTube, Twitter and Facebook have been caught throttling/ending traffic to many progressive (TeleSur, TJ Kirk) and conservative (InfoWars, PragerU) websites and channels. Should search engines and social media platforms be regulated as public utilities, to lend 1st Amendment protections to the users of these American companies?
The current battle being waged–in the courts, legislatures, and the battlefield of social media itself- are already indicative of how so many unanswered questions associated with the rise of social media are being addressed out of necessity. It seems that no one–least of all the social media firms–wants to assume responsibility when things go wrong or uncomfortable questions must be answered. Courts and legislatures will ultimately have to find a middle ground response to issues such as first amendment protections, but this will likely remain a moving target for some time to come, as there is no single black or white answer, and, as each new law comes into effect, its ramifications will become known, which means the laws will undoubtedly need to become subsequently modified.
Do you think blockchain will eventually lead to a golden era of fiscal transparency?
This is hard to say. On one hand, the rise of cryptocurrencies brought with them the promise of money outside the control of governments and large corporations. However, cryptocurrencies have been subject to a number of high-profile heists and there are still some fundamental issues with them, such as the throughput of Bitcoin which is only able to process around a few transactions per second. This makes some cryptocurrencies less viable for real world transactions and everyday commerce.
The financial services industry has jumped on the blockchain bandwagon, but they have taken the open concept of some cryptocurrencies and reinvented it as distributed ledger technology (DLT). To be part of DLTs created by financial institutions, a joining member must be a financial institution. For this reason, the notion of transparency is not relevant, since the DLT will be controlled by a limited number of members and only they will determine what information is public and what is not.
The other issue with the crypto space right now is that is filled with fraud. At the end of the day, crypto is an asset class like gold or any other precious metal. It does not actually produce anything; The only real value it has is the willingness of another person to pay more for it in the future. It is possible that a few cryptocurrencies will survive long-term and become somewhat viable, but the evolution of blockchain will likely continue to move towards DLT that more people will trust. Also, governments are likely to issue their own cryptocurrencies in the future, which will bring it into the mainstream.
Taiwan has recently started using online debate forums to help draft legislation, in a form of direct democracy. Kenya just announced that they will post presidential election results on a blockchain. How can AI and blockchain enhance democracy?
Online debate forums are obviously a good thing, because having the average person engage in political debate and being able to record and aggregate voting results will create an opportunity for more transparency. The challenge becomes how to verify the identities of the people submitting their feedback. Could an AI program be designed to submit feedback millions of times to give a false representation of the public’s concerns?
Estonia has long been revered as the world’s most advanced digital society, but researchers have pointed out serious security flaws in its electronic voting system, which could be manipulated to influence election outcomes. AI can help by putting in place controls to verify that the person providing feedback for legislation is a citizen. Online forums could force users to take a pic of their face next to their passport to verify their identity with facial recognition algorithms.
Should an international statute be passed banning scientists from installing emotions-specially pain and fear-into AI?
Perhaps, for now at least, the question should be: should scientists ban the installation of robots or other forms of AI to imitate human emotions? The short answer to this is that it depends. On one hand, AI imitating human emotions could be a good thing, such as when caring for the elderly or teaching a complex concept to a student. However, a risk is that when AI can imitate human emotions very well, people may believe they have gained a true friend who understands them. It is somewhat paradoxical that the rise of social media has connected more of us, but some people still admit that they lack meaningful relationships with others.
You don’t talk much about India in your book. How far behind are they in the AI race, compared to China, the US & EU?
Surprisingly, many of the world’s countries have only adopted a formal AI strategy in the last year. India is one of them; It only formally adopted an AI strategy in 2018 and lags well behind China, the EU, the US, and variety of other countries. India has tremendous potential to meaningfully enter the race for AI supremacy and become a viable contender, but it still lacks a military AI strategy. India already contributes to advanced AI-oriented technology through its thriving software, engineering, and consulting sectors. Once it ramps up a national strategy, it should quickly become a leader in the AI arena–to the extent that it devotes sufficient resources to that strategy and swiftly and effectively implements it. That is not a guaranteed outcome, based on the country’s prior history with some prior national initiatives. We must wait and see if India lives up to its potential in this arena.
On page 58 you write, “Higher-paying jobs requiring creativity and problem-solving skills, often assisted by computers, have proliferated… Demand has increased for lower skilled restaurant workers, janitors, home health aides, and others providing services that cannot be automated.” How will we be able to stop this kind of income inequality?
In all likelihood, the rise of AI will, at least temporarily, increased the schism between highly paid white-collar jobs and lower paid blue-collar jobs, however, at the same time, AI will, over decades, dramatically alter the jobs landscape. Entire industries will be transformed to become more efficient and cost effective. In some cases this will result in a loss of jobs while in others it will result in job creation. What history has shown is that, even in the face of transformational change, the job market has a way of self-correcting; Overall levels of employment tend to stay more or less the same. We have no doubt that this will prove to be the case in this AI-driven era. While income inequality will remain a persistent threat, our expectation is that, two decades from now, it will be no worse than it is right now.
AI systems like COMPAS and PredPol have been exposed for being racially biased. During YouTube’s “Adpocalypse”, many news and opinion videos got demonetized by algorithms indiscriminately targeting keywords like ‘war’ and ‘racism”. How can scientists and executives prevent their biases from influencing their AI?
This will be an ongoing debate. Facebook removed a PragerU video where a woman was describing the need for strong men in society and the problem with feminizing them. Ultimately, Facebook said it was a mistake and put the video back up. So the question becomes who decides what constitutes “racist” or “hate speech” content? The legal issues seem to emerge, if it can be argued that the content being communicated are calling on people to act in a violent way.
Could the political preferences of a social media company’s executives overrule the sensibilities of the common person to make up their own mind? On the other hand, India has a string of mob killings from disinformation campaigns on WhatsApp, mostly from people who were first time smartphone users. Companies could argue that some people are not able to distinguish between real and fake videos so content must be censored in that case.
Ultimately, executives and scientists will need to have an open and ongoing debate about content censorship. Companies must devise a set of principles and adhere to them to the best of their ability. As AI becomes more prevalent in monitoring and censoring online content there will have to be more transparency about the process and the algorithms will need to be adjusted following a review by the company. In other words, companies cannot prevent algorithmic biases, but they can monitor them and be transparent with the public about steps to make them better over time.
Amper is an AI music composer. Heliograf has written about 1000 news blurbs for WaPo. E-sports and e-bands are starting to sell out stadiums. Are there any human careers that you see as being automation-proof?
In theory, nearly any cognitive or physical task can be automated. We do not believe that people should be too worried, at least for the time being, about the implications of doing so because the costs to automate even basic tasks to the level of human performance is extremely high, and we are a good ways away from being technically capable of automating most tasks. However, AI should spark conversations about how we want to structure our society in the future and what it means to be human because AI will improve over time and become more dominant in the economy.
In Chapter 1 you briefly mention digital amnesia (outsourcing the responsibility of memorizing stuff to one’s devices). How else do you anticipate consumer devices will change us psychologically in the next few decades?
We could see a spike in schizophrenia because the immersive nature of virtual, augmented, and mixed reality that will increasingly blur the lines between reality and fantasy. In the 1960s there was a surge of interest in mind-expanding drugs such as psychedelics. However, someone ingesting LSD knew there was a time limit associated with the effects of the drug. These technologies do not end. Slowly, the real world could become less appealing and less real for heavy users of extended reality technology. This could affect relationships between other humans and increase the nature and commonality of mental illness. Also, as discussed in the book, we are already seeing people who cannot deal with risk in the real world. There have been several cases of animal mauling, cliff falls, and car crashes among individuals in search of the perfect “selfie”. This tendency to want to perfect our digital personas should be a topic of debate in schools and at the dinner table.
Ready Player One is the most recent sci-fi film positing the gradual elimination of corporeal existence through Virtual Reality. What do you think of the transcension hypothesis on Fermi’s paradox?
The idea that our consciousness can exist independently from our bodies has occurred throughout humanity’s history. It appears that our consciousness is a product of our own living bodies. No one knows if a person’s consciousness can exist after the body dies, but some have suggested that a person’s brain still functions for a few minutes after the body dies. It seems we need to worry about the impact of virtual reality on our physical bodies before it will be possible for us to transcend our bodies and exist on a digital plane. This is a great thought experiment, but there is not enough evidence to suggest that this is even remotely possible in the future.
What role will AI play in climate change?
AI will become an indispensable tool for helping to predict the impacts of climate change in the future. The field of “Climate Informatics” is already blossoming, harnessing AI to fundamentally transform weather forecasting (including the prediction of extreme events) and to improve our understanding of the effects of climate change. Much more thought and research needs to be devoted to exploring the linkages between the technology revolution and other important global trends, including demographic changes such as ageing and migration, climate change, and sustainable development, but AI should make a real difference in enhancing our general understanding of the impacts of these, and other, phenomena going forward.
Rachel Lyons: Shaping the future of humanity in space
Rachel Lyons is the executive director at Space for Humanity. Space for Humanity is a non profit organisation in the US which is cultivating a movement to expand access to space for all humanity. Rachel is working towards making space exploration more inclusive and accessible to people worldwide. Space for Humanity is advocating space inclusivity in the US and is working with space experts, astronauts and other prominent people in the space sector to bring about change. In this conversation with Modern Diplomacy, Rachel discusses more about her experience working in the space advocacy sector.
What role is Space for Humanity playing in the future of the world?
This is a big question. If you think about our world, and the systems that we have in place – the types of people they favor, the types of activities that get prioritized, it becomes clear that these systems were built with foundational values of money and power being the highest priorities. If our values shift to things like the preservation of life, love, and wellbeing of humans and our planet — and this is what S4H is working to fundamentally address — the structures that are built on top of it will also begin to shift. This is what we are working to address. A shift in perspective that will ultimately cause behavior, relationships, and systems to change accordingly.
Why is advocacy important in the space exploration sector? What are some things you want to change about how we explore space?
Advocacy is important because it influences public opinion and policy. Very often, when I share the importance of space exploration, people question why we are going to space when we face so many challenges on our own planet. The reality is, the technological advancements in space have impacted the lives of people globally in positive ways, and culturally the impacts have been massive (for example, the EarthRise Image of our planet from a distance from the Apollo era is said to have sparked the modern environmental movement). It is important for people to know, we go to space not because we choose it over earth, but because we love earth.
How can countries increase collaboration for space exploration?
This is a big question – I can talk about it from the individual’s perspective. If you are a young person, and you’re interested in space, by joining and supporting organizations like Students for the Exploration and Development of Space and the Space Generation Advisory Council, you can meet like minded people that are just beginning their career. Starting off early, networking, learning about what people are working on can open up collaborative opportunities exponentially for your entire career, no matter where that takes people.
Will all countries get an equal opportunity to. Go to space first when Space for Humanity’s citizen flights start?
Yes – that is our mission. And, there are some restrictions that we need to be realistic about. For example, countries that have more access to the internet are more likely to hear about S4H’s mission. Additionally, because of guidelines and safely with the flight providers, people must speak english in order to fly, so that limits access to others. And, it is extremely important to us for our mission to be as accessible as possible.
Why do you think it’s necessary for people to go to space and see Earth from above?
The perspective shift. Seeing the earth from above — the beauty, fragility, and interconnectedness of everything on it, can change a person for the reason of their lives. This cognitive shift is called the Overview Effect and it has been widely studied. Many astronauts return to earth with a new care for our planet and new care for people. They see how special and finite our existence is. They see the miraculousness and meaninglessness of it all at once. This perspective is essential, given the global nature of our greatest challenges, and what we are currently facing.
How is Space for Humanity planning to increase operations and advocacy across the globe?
Keep sharing our mission! The majority of our online content is totally free. We have people from 100+ countries that have applied to our program, follow us on social media, and attend our events. We are working to bring more and more people from all over onto our leadership board as well. We are so excited to keep expanding, and having efforts across the globe is an essential part of our mission.
How do you plan to share Space for Humanity’s vision with the world?
So many ways. We’re already done it via social media, launch parties, webinars, in person events, at conferences, public events, and more. We will continue doing this – sharing our mission IS our mission. Creating a perspective shift, on earth or off of it, IS our mission. In future years, when we sponsor astronauts to go to space, they will return to earth and commit themselves to sharing our mission. This is how we will continue amplifying the message.
Do you see other organisations like Space for Humanity starting worldwide? With a similar model?
There are similar organizations, like the Space Generation Advisory Council, that is a global network of space professionals.
Then there’s the Space Frontier foundation, that hosts a yearly conference and is a space advocacy organization.
The Planetary Society does a really great job of sharing space globally as well.
Virgin Galactic is a commercial space flight organization, where people will soon be able to purchase tickets to go to space.
These all exist and are doing great work, and there is no other organization like Space for Humanity. There is no organization that is working to start a movement using the spaceflight perspective, by sponsoring people from all over the world to go to space.
Antivirals, Spaceflights, EdTech, and Hyperloops: 20 Markets That Will Transform Economies
As the world grapples with the socio-economic consequences of the COVID-19 pandemic, there is increasing demand to shape a new economy that addresses broader societal and environmental challenges while generating economic growth. To achieve this, the world needs to set an ambitious agenda of technological and socio-institutional innovations to pilot new markets that can help solve these challenges.
The World Economic Forum highlights 20 markets that could transform our economies. Some will rely particularly on advances in technology (e.g. broad-spectrum antivirals, spaceflights), while others will require radically new social and institutional set-ups (e.g. skills capital, water rights, quality credits). Others will emerge from a combination of both elements (e.g. data, genes and DNA sequences). Each of these markets has potential benefits in multiple dimensions. For example, they could help societies to protect and empower people (e.g. precision medicines and orphan drugs, EdTech and reskilling services), advance knowledge and understanding (e.g. artificial intelligence, spaceflights, satellite services), or protect the environment (e.g. greenhouse gas allowances, reforestation services, hydrogen).
“While protecting people remains the priority at present, now is also the time to plan a post-pandemic transformation of our economies. We must ensure that new economic activities do not only generate growth but also provide solutions to the problems that our societies are facing, said” says Saadia Zahidi, Managing Director, World Economic Forum. “The future of our economies, societies and the planet depend on developing these new, inclusive and sustainable markets.”
Creating these markets will require close collaboration between the public and the private sectors to:
- Invent new products that can be sustainably produced
- Nurture a set of companies to produce new products and bring them to market
- Foster enough demand to sustain a commercially viable market
- Establish clear standards that all actors can rely on and the market can converge on
- Create alignment within society on how to value the new product
- Develop the legal frameworks to identify, hold and exchange the new product
- Build the necessary infrastructure to exchange, distribute and store the new product
Coalitions of actors at country and global level can come together to pursue the establishment of these conditions. For optimal societal outcomes, these markets should be designed around fairer and more sustainable ways of producing and distributing value. Examples include more collaboration between the public and the private sectors, innovative models to finance research and development, and designing the public sector’s risk-taking into the new ventures. Public institutions have a key role to play in catalysing public-private collaborations and create the systemic conditions for selected markets to emerge.
A preliminary mapping of countries’ potential for breakthrough technological and socio-institutional innovation indicates that those with advanced technological capabilities, strong social capital and future-oriented institutions are likely to succeed in developing a broader set of new markets. In particular, the Netherlands, Luxembourg, Denmark, Germany and Norway have the highest potential for socio-institutional innovation, while Japan, Germany, the United States, the Republic of Korea and France have the highest potential to generate breakthrough technological development.
Most advanced economies also score highly across both these dimensions. A number of high-income economies from the Middle East (Bahrain, Saudi Arabia, United Arab Emirates) and East Asia (Indonesia, Malaysia) as well as a few small island states (Barbados, Cyprus, Malta, Mauritius, Seychelles) and emerging African countries (Kenya and Namibia) can rely on significant levels of social capital and future orientation of policy-makers but do not yet have a mature technological system. A smaller group of advanced economies (Czech Republic, Israel, Italy, Japan, Spain) as well as the BRICs and other emerging economies (Hungary, Poland) present solid technological systems but need development in the social and institutional fabric to deliver these markets.
The disruptions brought by the COVID-19 pandemic provide an opportunity to pilot breakthrough technological and socio-institutional innovations that can grow into entire new markets. Success will ultimately depend on how well multistakeholder actors work together to create the necessary conditions for a number of key new markets to emerge that will help make economies more inclusive and sustainable. Existing market structures are not neutral; high levels of concentration and market power in adjacent industries to the new markets might slow down or even curb the establishment of such new markets.
Light at the end of the tunnel: New technologies to fight the COVID-19 on transport
Disinfection robots, thermometer robots, smart tunnels, automatic passenger counting, powerful ultraviolet lamps and other examples of how new technologies reshaped public transport amid the COVID-19 outbreak.
The coronavirus pandemic has led to significant changes in many areas of life in just a few months. As the coronavirus continued to spread around the world, governments in several countries took measures to restrict movement, and people themselves tried to avoid traveling on public transport. The demand for the services of transport operators has dropped drastically. So, according to the Moovit Public Transit Index, passenger traffic in public transport on April 15, 2020 decreased in Israel by 92.1%, in Rome – by 89.2%, in Madrid – by 88.1%, in New York-by 74.8% and has not yet recovered. City residents are afraid to use public transport actively again, and their fears are fully justified. High daily passenger traffic and high frequency of contact between passengers make public transport an ideal environment for the spread of infections. The problem of fighting the spread of infections while maintaining normal life activity is particularly acute for large cities, such as Moscow or Beijing, where daily passenger traffic reaches 19.4 and 12.3 million passengers respectively. The average density of passengers on a bus or in a traincar at the same time ranges from 2 to 5 people per square meter, while, according to World Health Organization (WHO) recommendations, in order to comply with safety standards, passengers must maintain a social distance of 1.5 meters. Furthermore, virus particles can remain for a long time on public surfaces inside a bus or a traincar. Handrails on public transport are usually made of plastic, on which the coronavirus can remain up to 3 days, according to the New England Journal of Medicine. By touching them passengers increase the risk of contagion.
The key task for transport operators is to make the usage of public transport safe. To help them solve this problem came technology -all kinds of robots are widely used among innovations. With their help, it is possible to carry out disinfection effectively and safely without the involvement of staff. The Hong Kong Metro, also known as the Mass Transit Railway (MTR), together with the biotechnology company Avalon Biomedical Management Limited, has developed a disinfection robot that can disinfect even the most inaccessible places of traincars and stations. In addition to disinfection, robots can cope with more complex tasks. So, in Ningbo Lishe International Airport was tested a 5G-supporting robot-thermometer, which can measure temperature at a distance of 5 meters up to 10 people simultaneously and also identify those who are not wearing a face mask. Another innovation in many transport operators is the sanitary gate. According to Giulio Barbieri, one of the manufacturers, this is a “a tested, safe, and effective method to sanitize people and objects in just 5 seconds, killing up to 99% of any pathogenic microbes on the surfaces, including COVID-19”For example, the technology was tested in the Moscow and Dubai metros. In Moscow the clothes of the employees entering the depot were processed using a disinfection tunnel; at the same time, the territory was manually disinfected, so that the entire depot was safer for the staff.
The process of digitalization of ticket systems, which began long before the pandemic, also had a positive effect. Thanks to the competent actions of transport operators, the number of contactless payments in public transport around the world increased by 187% in the period from April to June, as evidenced by a report from Visa. Following WHO recommendations, many transport operators have made it mandatory to wear masks and maintain social distance on public transport. A number of digital technologies have been developed to comply with these rules. In the Beijing metro, compliance with a mask regime is controlled by cameras with a facial recognition system that can identify people. In addition, in the Panama Metro, observance of social distance is monitored by sensors which determine the degree of capacity of train cars. The technology called Mastria, which aggregates information from train weight sensors, ticket machines, signalling, management systems, CCTV and mobile networks for the Panama metro was developed by Alstom (a french manufacturer specializing in the production of infrastructure for rail transport) and installed almost a year ago. In just three months, thanks to artificial neural networks, it was possible to reduce average waiting times at stations by 12%. This development became particularly relevant during the pandemic. The Moscow metro is planning to introduce a similar technology. To maintain the social distance digital displays with colored indicators that reflect the level of capacity of subway cars will be installed. In the Moscow metro a new generation of traincars with an automatic air disinfection system built into climate control systems helped to reduce the risk of infection. It makes it possible to disinfect the air without disrupting the train schedule and attracting employees. The Moscow metro rolling stock consists of more than 50% of train cars with built-in UV lamps, and this percentage is constantly growing. After evaluating the effectiveness of using UV lamps to disinfect public transport, the transport operator MTA New York City Transit, together with Columbia University, launched a pilot project worth 1 million dollars on the use of disinfecting lamps. During the first phase of the project, 150 autonomous lamps were purchased and installed to decontaminate wagons, stations and buses in New York, during the second phase it is planned to install equipment in commuter rails. To carry out disinfection measures, the New York City Subway took unprecedented measures – the closure of the subway from 1 to 5 a.m. daily.
The use of robots, disinfection tunnels, digital technologies, ultraviolet lamps, and intensive work of staff – all this helped to reduce the risk of the spread of coronavirus in public transport and made a significant contribution to fighting the global problem. According to the coronavirus distribution model, developed by Imperial College London at the beginning of the pandemic, if no action had been taken by mid-March there would have been over 500,000 deaths from COVID in the UK and over 2.2 million in the USA. At the moment, in the middle of October, there are about 43,000 deaths in the UK and about 214,000 in the USA. Of course, these are high rates, but they could have been much higher if the necessary measures were not taken in time. Technological innovations already available today will continue to be used, which will make the stay of passengers on public transport more comfortable and safer, reducing the risk of the spread of any infectious disease, especially during the flu and cold seasons.
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