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if there's one thing we've learned from more than a decade of Facebook scandals, it's that there's little reason to believe that Facebook possesses the requisite will and capabilities. Indeed, it may be that there is no automated system or system of human judgments that could serve as a moderator and arbiter of the daily lives of billions of people. Given Facebook's ambition to put more and more of our daily lives behind its walled garden, it's hard to see why we would ever trust Facebook to be the one to fix all that's wrong with Facebook.

Facebook users are eager for alternatives to the service, but are held back by the fact that the people they want to talk with are all locked within the company's walled garden

rather than using standards to describe how a good voting machine should work, the industry pushed a standard that described how their existing, flawed machines did work with some small changes in configurations. Had they succeeded, they could have simply slapped a "complies with IEEE standard" label on everything they were already selling and declared themselves to have fixed the problem... without making the serious changes needed to fix their systems, including requiring a voter-verified paper ballot.

Most people probably don’t think that broader, structural issues to do with politics and the economy have anything to do with their emotional health and wellbeing, but they do. We’ve known for a long time that inequality causes a wide range of health and social problems, including everything from reduced life expectancy and higher infant mortality to poor educational attainment, lower social mobility and increased levels of violence. Differences in these areas between more and less equal societies are large, and everyone is affected by them.

inequality eats into the heart of our immediate, personal world, and the vast majority of the population are affected by the ways in which inequality becomes the enemy between us. What gets between us and other people are all the things that make us feel ill at ease with one another, worried about how others see us, and shy and awkward in company—in short, all our social anxieties

An epidemic of distress seems to be gripping some of the richest nations in the world

If you want to learn something from Finland, it’s the implementation of ideas. It’s looking at education as nation-building. We have very carefully kept the business of education in the hands of educators. It’s practically impossible to become a superintendent without also being a former teacher. … If you have people [in leadership positions] with no background in teaching, they’ll never have the type of communication they need.

Finns don’t believe you can reliably measure the essence of learning. You know, one big difference in thinking about education and the whole discourse is that in the U.S. it’s based on a belief in competition. In my country, we are in education because we believe in cooperation and sharing. Cooperation is a core starting point for growth.

experts predicted networked artificial intelligence will amplify human effectiveness but also threaten human autonomy, agency and capabilities

most experts, regardless of whether they are optimistic or not, expressed concerns about the long-term impact of these new tools on the essential elements of being human. All respondents in this non-scientific canvassing were asked to elaborate on why they felt AI would leave people better off or not. Many shared deep worries, and many also suggested pathways toward solutions. The main themes they sounded about threats and remedies are outlined in the accompanying table.

CONCERNS Human agency: Individuals are  experiencing a loss of control over their lives Decision-making on key aspects of digital life is automatically ceded to code-driven, "black box" tools. People lack input and do not learn the context about how the tools work. They sacrifice independence, privacy and power over choice; they have no control over these processes. This effect will deepen as automated systems become more prevalent and complex. Data abuse: Data use and surveillance in complex systems is designed for profit or for exercising power Most AI tools are and will be in the hands of companies striving for profits or governments striving for power. Values and ethics are often not baked into the digital systems making people's decisions for them. These systems are globally networked and not easy to regulate or rein in. Job loss: The AI takeover of jobs will widen economic divides, leading to social upheaval The efficiencies and other economic advantages of code-based machine intelligence will continue to disrupt all aspects of human work. While some expect new jobs will emerge, others worry about massive job losses, widening economic divides and social upheavals, including populist uprisings. Dependence lock-in: Reduction of individuals’ cognitive, social and survival skills Many see AI as augmenting human capacities but some predict the opposite - that people's deepening dependence on machine-driven networks will erode their abilities to think for themselves, take action independent of automated systems and interact effectively with others. Mayhem: Autonomous weapons, cybercrime and weaponized information Some predict further erosion of traditional sociopolitical structures and the possibility of great loss of lives due to accelerated growth of autonomous military applications and the use of weaponized information, lies and propaganda to dangerously destabilize human groups. Some also fear cybercriminals' reach into economic systems.

What might this tell us about the future?  Let’s consider Ryugu as a datapoint or story for where space exploration might head next.

robots continue to be cheap, far easier to operate, capable of enduring awful stresses, and happy to send gorgeous data back our way

Hayabusa is a Japanese project, not an American one, and national interest counts for a lot.  No humans were involved, so human interest and story are absent.  Perhaps the whole project looks too science-y for a culture that spins into post-truthiness, contains some serious anti-science and anti-technology strands, or just finds science stories too dry.  Or maybe the American media outlets think Americans just aren’t that into space in particular in 2018.

The idea would be that not only do you have a multigenerational project of building a new world, but obviously the human civilization occupying it would also be new. And culturally and politically, it would be an achievement that would have no reason to stick with old forms from the history of Earth. It’s a multigenerational project, somewhat like building these cathedrals in Europe where no generation expects to end the job. By the time the job is near completion, the civilization operating it will be different to the one that began the project.

what the Mars scenario gave me – and gives all of humanity – is the idea that the physical substrate of the planet itself is also a part of the project, and it’s something that we are strong enough to influence. Not create, not completely control, not completely engineer because it’s too big and we don´t have that much ability to manipulate the large systems involved, nor the amount of power involved. But we do have enough to mess things up and we do have enough to finesse the system.This, I think, was a precursor to the idea of the Anthropocene. The Anthropocene is precisely the geological moment when humanity becomes a geological force, and it’s a science-fiction exercise to say that 50 million years from now, humanity’s descendants, or some other alien civilization, will be able to look at Earth and say: “This is when humanity began to impact things as much as volcanos or earthquakes.” So it’s a sci-fi story being told in contemporary culture as one way to define what we are doing now. So, that was what my Mars project was doing, and now we are in the Anthropocene as a mental space.

if humanity’s impact on the Earth is mostly negative in ecological terms, if you mark humanity’s impact as being so significant that we have produced a new geological age, then we have to think differently in our attitudes towards what we are doing with our biophysical substrate. And one of the things I think the Anthropocene brings up is that the Earth is our body, and we can finesse it, we can impact it, we can make ourselves sick.

How and why do well-educated, well-intentioned scientists produce biased AI systems? Sociological theories of privilege provide one useful lens.

Their training data is biased. They are designed by an unrepresentative group. They face the mathematical impossibility of treating all categories equally. They must somehow trade accuracy for fairness. And their biases are hiding behind millions of inscrutable numerical parameters.

fairness can still be the victim of competitive pressures in academia and industry. The flawed Bard and Bing chatbots from Google and Microsoft are recent evidence of this grim reality. The commercial necessity of building market share led to the premature release of these systems.