Humans are a post-truth species


Yuval Noah Harari at the Guardian: “….A cursory look at history reveals that propaganda and disinformation are nothing new, and even the habit of denying entire nations and creating fake countries has a long pedigree. In 1931 the Japanese army staged mock attacks on itself to justify its invasion of China, and then created the fake country of Manchukuo to legitimise its conquests. China itself has long denied that Tibet ever existed as an independent country. British settlement in Australia was justified by the legal doctrine of terra nullius (“nobody’s land”), which effectively erased 50,000 years of Aboriginal history. In the early 20th century, a favourite Zionist slogan spoke of the return of “a people without a land [the Jews] to a land without a people [Palestine]”. The existence of the local Arab population was conveniently ignored.

In 1969 Israeli prime minister Golda Meir famously said that there is no Palestinian people and never was. Such views are very common in Israel even today, despite decades of armed conflicts against something that doesn’t exist. For example, in February 2016 MP Anat Berko gave a speech in the Israeli parliament in which she doubted the reality and history of the Palestinian people. Her proof? The letter “p” does not even exist in Arabic, so how can there be a Palestinian people? (In Arabic, “F” stands for “P”, and the Arabic name for Palestine is Falastin.)

In fact, humans have always lived in the age of post-truth. Homo sapiens is a post-truth species, whose power depends on creating and believing fictions. Ever since the stone age, self-reinforcing myths have served to unite human collectives. Indeed, Homo sapiensconquered this planet thanks above all to the unique human ability to create and spread fictions. We are the only mammals that can cooperate with numerous strangers because only we can invent fictional stories, spread them around, and convince millions of others to believe in them. As long as everybody believes in the same fictions, we all obey the same laws, and can thereby cooperate effectively.

So if you blame Facebook, Trump or Putin for ushering in a new and frightening era of post-truth, remind yourself that centuries ago millions of Christians locked themselves inside a self-reinforcing mythological bubble, never daring to question the factual veracity of the Bible, while millions of Muslims put their unquestioning faith in the Qur’an. For millennia, much of what passed for “news” and “facts” in human social networks were stories about miracles, angels, demons and witches, with bold reporters giving live coverage straight from the deepest pits of the underworld. We have zero scientific evidence that Eve was tempted by the serpent, that the souls of all infidels burn in hell after they die, or that the creator of the universe doesn’t like it when a Brahmin marries an Untouchable – yet billions of people have believed in these stories for thousands of years. Some fake news lasts for ever.

I am aware that many people might be upset by my equating religion with fake news, but that’s exactly the point. When a thousand people believe some made-up story for one month, that’s fake news. When a billion people believe it for a thousand years, that’s a religion, and we are admonished not to call it fake news in order not to hurt the feelings of the faithful (or incur their wrath). Note, however, that I am not denying the effectiveness or potential benevolence of religion. Just the opposite. For better or worse, fiction is among the most effective tools in humanity’s toolkit. By bringing people together, religious creeds make large-scale human cooperation possible. They inspire people to build hospitals, schools and bridges in addition to armies and prisons. Adam and Eve never existed, but Chartres Cathedral is still beautiful. Much of the Bible may be fictional, but it can still bring joy to billions and encourage humans to be compassionate, courageous and creative – just like other great works of fiction, such as Don QuixoteWar and Peace and Harry Potter….(More)”.

Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject


Nick Couldry and Ulises Mejias in Television & New Media (TVNM): “...Data colonialism combines the predatory extractive practices of historical colonialism with the abstract quantification methods of computing. Understanding Big Data from the Global South means understanding capitalism’s current dependence on this new type of appropriation that works at every point in space where people or things are attached to today’s infrastructures of connection. The scale of this transformation means that it is premature to map the forms of capitalism that will emerge from it on a global scale. Just as historical colonialism over the long-run provided the essential preconditions for the emergence of industrial capitalism, so over time, we can expect that data colonialism will provide the preconditions for a new stage of capitalism that as yet we can barely imagine, but for which the appropriation of human life through data will be central.

Right now, the priority is not to speculate about that eventual stage of capitalism, but to resist the data colonialism that is under way. This is how we understand Big Data from the South. Through what we call ‘data relations’ (new types of human relations which enable the extraction of data for commodification), social life all over the globe becomes an ‘open’ resource for extraction that is somehow ‘just there’ for capital. These global flows of data are as expansive as historic colonialism’s appropriation of land, resources, and bodies, although the epicentre has somewhat shifted. Data colonialism involves not one pole of colonial power (‘the West’), but at least two: the USA and China. This complicates our notion of the geography of the Global South, a concept which until now helped situate resistance and disidentification along geographic divisions between former colonizers and colonized. Instead, the new data colonialism works both externally — on a global scale — and internally on its own home populations. The elites of data colonialism (think of Facebook) benefit from colonization in both dimensions, and North-South, East-West divisions no longer matter in the same way.

It is important to acknowledge both the apparent similarities and the significant differences between our argument and the many preceding critical arguments about Big Data…(More)”

The Magic of “Multisolving”


Elizabeth Sawin at Stanford Social Innovation Review: “In Japan, manufacturing facilities use “green curtains”—living panels of climbing plants—to clean the air, provide vegetables for company cafeterias, and reduce energy use for cooling. A walk-to-school program in the United Kingdom fights a decline in childhood physical activity while reducing traffic congestion and greenhouse gas emissions from transportation. A food-gleaning program staffed by young volunteers and families facing food insecurity in Spain addresses food waste, hunger, and a desire for sustainability.

Each of these is a real-life example of what I call “multisolving”—where people pool expertise, funding, and political will to solve multiple problems with a single investment of time and money. It’s an approach with great relevance in this era of complex, interlinked, social and environmental challenges. But what’s the best formula for implementing projects that tackle many problems at once?

Climate Interactive, which uses systems analysis to help people address climate change, recently completed a year-long study of multisolving for climate and health. We learned there is no one-size-fits-all recipe, but we did identify three operating principles and three practices that showed up again and again in the projects we studied. What’s more, anyone wanting to access the power of cross-sectoral partnership can adopt them….(More)”.

Introducing CitizENGAGE – How Citizens Get Things Done


Open Gov Partnership: “In a world full of autocracy, bureaucracy, and opacity, it can be easy to feel like you’re fighting an uphill battle against these trends.

Trust in government is at historic lows. Autocratic leaders have taken the reins in countries once thought bastions of democracy. Voter engagement has been declining around the globe for years.

Despite this reality, there is another, powerful truth: citizens are using open government to engage in their communities in innovative, exciting ways, bringing government closer and creating a more inclusive system.

These citizens are everywhere.

In Costa Rica, they are lobbying the government for better and fairer housing for indigenous communities.

In Liberia, they are bringing rights to land back to the communities who are threatened by companies on their traditional lands.

In Madrid, they are using technology to make sure you can participate in government – not just every four years, but every day.

In Mongolia, they are changing the face of education and healthcare services by empowering citizens to share their needs with government.

In Paraguay, hundreds of municipal councils are hearing directly from citizens and using their input to shape how needed public services are delivered.

These powerful examples are the inspiration for the Open Government Partnership’s (OGP) new global campaign to CItizENGAGE.  The campaign will share the stories of citizens engaging in government and changing lives for the better.

CitizENGAGE includes videos, photo essays, and impact stories about citizens changing the way government is involved in their lives. These stories talk about the very real impact open government can have on the lives of everyday citizens, and how it can change things as fundamental as schools, roads, and houses.

We invite you to visit CitizENGAGE and find out more about these reforms, and get inspired. Whether or not your government participates in OGP, you can take the lessons from these powerful stories of transformation and use them to make an impact in your own community….(More)”.

What Democracy Needs Now


The RSA Chief Executive’s Lecture 2018 by Matthew Taylor: “In 1989 with the fall of the Berlin Wall still echoing, Francis Fukuyama prophesied the global triumph of liberal democracy and the end of history. Thirty years on it is not history in jeopardy but liberal democracy itself.

China – the rising global power – is thriving with a system which combines economic freedom with political autocracy. There is the growth of what Yascha Mounk calls illiberal democracies – countries with notionally free elections but without the liberal foundations of accountability, civil liberties and cultural openness. The issue with nations like Russia, Hungary and Turkey, and with those exhibiting a backlash against liberalism like America and Italy, is not just how they operate but the tendency for populism – when given the excuse or opportunity – to drift towards authoritarianism.

While the alternatives to the liberal democratic system grow more confident the citizens living in those systems become more restless. Politicians and political institutions in countries are viewed with dismay and contempt. We don’t like them, we don’t trust them, we don’t think they can solve the problems that most matter to us. The evidence, particularly from the US, is starting to suggest that disillusionment with politics is now becoming indifference towards democracy itself.

Will liberal democracy come back into fashion – is this a cycle or is it a trend? Behind the global patterns each country is different, but think of what is driving anger and disillusionment in our own.

Living standards flat-lining for longer than at any time since the industrial revolution. A decade of austerity leaving our public services threadbare and in a mode of continual crisis management. From social care to gangs, from cybercrime to mental health, how many of us think Government is facing up to the problems let alone developing solutions?

Inequality, having risen precipitously in the 1980s, remains stubbornly high, fuelling anger about elites and making not just the economic divide but all divisions worse.

Social media – where increasingly people get their information and engage in political discourse – has the seemingly in-built tendency to confirm prejudice and polarise opinion.

The great intertwined forces shaping the future – globalisation, unprecedented corporate power, technological change – continue to reinforce a sense in people, places and nations that they have no agency. Yet the hunger to take back control which started as tragedy is rapidly becoming a farce.

If this is the warm climate in which disillusionment has taken root and grown it shows few signs of cooling.

For all its many failings, I have always believed that over the long term liberal democracy would carry on making lives better for most people most of the time. As a progressive my guiding star is what Roberto Unger has called ‘the larger life for all’. But for the first time, I view the future with more fear than hope.

There are those who disparage pessimism. To them the backlash against liberalism, the signs of a declining faith in democracy, are passing responses to failure and misfortune. Populism will give the system the wake-up call it needs. In time a new generation of leaders will renew the system. Populism need neither be extreme nor beget authoritarianism – look at Macron.

This underestimates the dangers that face us. It is too reminiscent of those who believed, until the results came in, that the British people would not take the risk of Brexit or that the Americans would reject the madness of Trump. It underestimates too how the turn against liberal democracy in one country can beget it in another. Paradoxically, today nationalists seem more able to collaborate with each other than countries ostensibly committed to internationalism. Chaos spreads more quickly than order. Global treaties and institutions take years to agree, they can breakdown overnight.

Of course, liberal democracy has failed over and again to live up to its own promise. But the fact that things need to change doesn’t mean they can’t get a whole lot worse.

We are also in danger of underestimating the coherence and confidence of liberalism’s critics. Last month Hungarian Prime Minister Victor Orban made a powerful speech defending his brand of nationalist populism and boasting of his growing alliances across Europe. He appealed to the continent’s centre-right to recognise that it has more in common with conservative nationalism than the EU’s liberal establishment. There are aspects of Orban’s analysis which have an understandable appeal to the mainstream, but remember this is also a man who is unashamedly hostile to Islam, contemptuous of humanitarianism, and who is playing fast and loose with democratic safeguards in his own country.

We may disagree about how malign or dangerous are figures like Orban or Erdogan, or Trump or Salvini, but surely we can agree that those who want to defend the open, pluralistic, inclusive values of liberal democracy must try to make a better case for what we believe?

In part this involves defending the record of liberal societies in improving lives, creating opportunities and keeping the peace, at least between themselves. But it also means facing up to what is going wrong and what must change.

Complex problems are rarely addressed with a single solution. To ever again achieve the remarkable and unprecedented economic and social advances of the three decades after the Second World War, liberal democracy needs profound renewal. But change must start some place. This evening I want to argue that place should be the way we do democracy itself…(More) (Video)”.

Ways to think about machine learning


Benedict Evans: “We’re now four or five years into the current explosion of machine learning, and pretty much everyone has heard of it. It’s not just that startups are forming every day or that the big tech platform companies are rebuilding themselves around it – everyone outside tech has read the Economist or BusinessWeek cover story, and many big companies have some projects underway. We know this is a Next Big Thing.

Going a step further, we mostly understand what neural networks might be, in theory, and we get that this might be about patterns and data. Machine learning lets us find patterns or structures in data that are implicit and probabilistic (hence ‘inferred’) rather than explicit, that previously only people and not computers could find. They address a class of questions that were previously ‘hard for computers and easy for people’, or, perhaps more usefully, ‘hard for people to describe to computers’. And we’ve seen some cool (or worrying, depending on your perspective) speech and vision demos.

I don’t think, though, that we yet have a settled sense of quite what machine learning means – what it will mean for tech companies or for companies in the broader economy, how to think structurally about what new things it could enable, or what machine learning means for all the rest of us, and what important problems it might actually be able to solve.

This isn’t helped by the term ‘artificial intelligence’, which tends to end any conversation as soon as it’s begun. As soon as we say ‘AI’, it’s as though the black monolith from the beginning of 2001 has appeared, and we all become apes screaming at it and shaking our fists. You can’t analyze ‘AI’.

Indeed, I think one could propose a whole list of unhelpful ways of talking about current developments in machine learning. For example:

  • Data is the new oil
  • Google and China (or Facebook, or Amazon, or BAT) have all the data
  • AI will take all the jobs
  • And, of course, saying AI itself.

More useful things to talk about, perhaps, might be:

  • Automation
  • Enabling technology layers
  • Relational databases. …(More).

My City Forecast: Urban planning communication tool for citizen with national open data


Paper by Y. Hasegawa, Y. Sekimoto, T. Seto, Y. Fukushima et al in Computers, Environment and Urban Systems: “In urban management, the importance of citizen participation is being emphasized more than ever before. This is especially true in countries where depopulation has become a major concern for urban managers and many local authorities are working on revising city master plans, often incorporating the concept of the “compact city.” In Japan, for example, the implementation of compact city plans means that each local government decides on how to designate residential areas and promotes citizens moving to these areas in order to improve budget effectiveness and the vitality of the city. However, implementing a compact city is possible in various ways. Given that there can be some designated withdrawal areas for budget savings, compact city policies can include disadvantages for citizens. At this turning point for urban structures, citizen–government mutual understanding and cooperation is necessary for every step of urban management, including planning.

Concurrently, along with the recent rapid growth of big data utilization and computer technologies, a new conception of cooperation between citizens and government has emerged. With emerging technologies based on civic knowledge, citizens have started to obtain the power to engage directly in urban management by obtaining information, thinking about their city’s problems, and taking action to help shape the future of their city themselves (Knight Foundation, 2013). This development is also supported by the open government data movement, which promotes the availability of government information online (Kingston, Carver, Evans, & Turton, 2000). CityDashboard is one well-known example of real-time visualization and distribution of urban information. CityDashboard, a web tool launched in 2012 by University College London, aggregates spatial data for cities around the UK and displays the data on a dashboard and a map. These new technologies are expected to enable both citizens and government to see their urban situation in an interface presenting an overhead view based on statistical information.

However, usage of statistics and governmental data is as yet limited in the actual process of urban planning…

To help improve this situation and increase citizen participation in urban management, we have developed a web-based urban planning communication tool using open government data for enhanced citizen–government cooperation. The main aim of the present research is to evaluate the effect of our system on users’ awareness of and attitude toward the urban situation. We have designed and developed an urban simulation system, My City Forecast (http://mycityforecast.net,) that enables citizens to understand how their environment and region are likely to change by urban management in the future (up to 2040)….(More)”.

Ghost Cities: Built but Never Inhabited


Civic Data Design Lab at UrbanNext: “Ghost Cities are vacant neighborhoods and sometimes whole cities that were built but were never inhabited. Their existence is a physical manifestation of Chinese overdevelopment in real estate and the dependence on housing as an investment strategy. Little data exists which establishes the location and extent of these Ghost Cities in China. MIT’s Civic Data Design Lab developed a model using data scraped from Chinese social media sites and Baidu (Chinese Google Maps) to create one of the first maps identifying the locations of Chinese Ghost Cities….

Quantifying the extent and location of Ghost Cities is complicated by the fact that the Chinese government keeps a tight hold on data about sales and occupancy of buildings. Even local planners may have a hard time acquiring it. The Civic Data Design Lab developed a model to identify Ghost Cities based on the idea that amenities (grocery stores, hair salons, restaurants, schools, retail, etc.) are the mark of a healthy community and the lack of amenities might indicate locations where no one lives. Given the lack of openly available data in China, data was scraped from Chinese social media and websites, including Dianping (Chinese Yelp), Amap (Chinese Map Quest), Fang (Chinese Zillow), and Baidu (Chinese Google Maps) using openly accessible Application Programming Interfaces(APIs). 

Using data scraped from social media sites in Chengdu and Shenyang, the model was tested using 300 m x 300 m grid cells marking residential locations. Each grid cell was given an amenity accessibility score based on the distance and clustering of amenities nearby. Residential areas that had a cluster of low scores were marked as Ghost Cities. The results were ground-truthed through site visits documenting the location using aerial photography from drones and interviews with local stakeholders.

The model worked well at documenting under-utilized residential locations in these Chinese cities, picking up everything from vacant housing and stalled construction to abandoned older residential locations, creating the first data set that marks risk in the Chinese real estate market. The research shows that data available through social media can help locate and estimate risk in the Chinese real estate market. Perhaps more importantly, however, identifying where these areas are concentrated can help city planners, developers and local citizens make better investment decisions and address the risk created by these under-utilized developments….(More)”.

The promise and peril of military applications of artificial intelligence


Michael C. Horowitz at the Bulletin of the Atomic Scientists: “Artificial intelligence (AI) is having a moment in the national security space. While the public may still equate the notion of artificial intelligence in the military context with the humanoid robots of the Terminatorfranchise, there has been a significant growth in discussions about the national security consequences of artificial intelligence. These discussions span academia, business, and governments, from Oxford philosopher Nick Bostrom’s concern about the existential risk to humanity posed by artificial intelligence to Tesla founder Elon Musk’s concern that artificial intelligence could trigger World War III to Vladimir Putin’s statement that leadership in AI will be essential to global power in the 21st century.

What does this really mean, especially when you move beyond the rhetoric of revolutionary change and think about the real world consequences of potential applications of artificial intelligence to militaries? Artificial intelligence is not a weapon. Instead, artificial intelligence, from a military perspective, is an enabler, much like electricity and the combustion engine. Thus, the effect of artificial intelligence on military power and international conflict will depend on particular applications of AI for militaries and policymakers. What follows are key issues for thinking about the military consequences of artificial intelligence, including principles for evaluating what artificial intelligence “is” and how it compares to technological changes in the past, what militaries might use artificial intelligence for, potential limitations to the use of artificial intelligence, and then the impact of AI military applications for international politics.

The potential promise of AI—including its ability to improve the speed and accuracy of everything from logistics to battlefield planning and to help improve human decision-making—is driving militaries around the world to accelerate their research into and development of AI applications. For the US military, AI offers a new avenue to sustain its military superiority while potentially reducing costs and risk to US soldiers. For others, especially Russia and China, AI offers something potentially even more valuable—the ability to disrupt US military superiority. National competition in AI leadership is as much or more an issue of economic competition and leadership than anything else, but the potential military impact is also clear. There is significant uncertainty about the pace and trajectory of artificial intelligence research, which means it is always possible that the promise of AI will turn into more hype than reality. Moreover, safety and reliability concerns could limit the ways that militaries choose to employ AI…(More)”,

How Do You Control 1.4 Billion People?


Robert Foyle Hunwick at The New Republic: China’s “social credit system”, which becomes mandatory in 2020, aims to funnel all behavior into a credit score….The quoted text is from a 2014 State Council resolution which promises that every involuntary participant will be rated according to their “commercial sincerity,” “social security,” “trust breaking” and “judicial credibility.”

Some residents welcome it. Decades of political upheaval and endemic corruption has bred widespread mistrust; most still rely on close familial networks (guanxi) to get ahead, rather than public institutions. An endemic lack of trust is corroding society; frequent incidents of “bystander effect”—people refusing to help injured strangers for fear of being held responsible—have become a national embarrassment. Even the most enthusiastic middle-class supporters of the ruling Communist Party (CCP) feel perpetually insecure. “Fraud has become ever more common,” Lian Weiliang, vice chairman of the CCP’s National Development and Reform Commission, recently admitted. “Swindlers must pay a price.”

The solution, apparently, lies in a data-driven system that automatically separates the good, the bad, and the ugly…

once compulsory state “social credit” goes national in 2020, these shadowy algorithms will become even more opaque. Social credit will align with Communist Party policy to become another form of law enforcement. Since Beijing relaxed its One Child Policy to cope with an aging population (400 million seniors by 2035), the government has increasingly indulged in a form of nationalist natalism to encourage more two-child families. Will women be penalized for staying single, and rewarded for swapping their careers for childbirth? In April, one of the country’s largest social-media companies banned homosexual content from its Weibo platform in order to “create a bright and harmonious community environment” (the decision was later rescinded in favor of cracking down on all sexual content). Will people once again be forced to hide non-normative sexual orientations in order to maintain their rights? An investigation by the University of Toronto’s Citizen Lab also warns that social credit policies would be used to discourage protest.

State media has defended social credit against Orwellian charges, arguing that China’s maturing economy requires a “well-functioning” apparatus like the U.S.’s FICO credit score system. But, counters Lubman, “the U.S. systems, maintained by three companies, collect only financially related information.” In the UK, citizens are entitled to an Equifax report itemizing their credit status. In China, only the security services have access to an individual’s dang’an, the personal file containing every scrap of information the state keeps on them, from exam results to their religious and political views….(More)”.