Build a Better Monster

We’re all trying to understand why people can’t just get along. The emerging consensus in Silicon Valley is that polarization is a baffling phenomenon, but we can fight it with better fact-checking, with more empathy, and (at least in Facebook’s case) with advanced algorithms to try and guide conversations between opposing camps in a more productive direction.

A question few are asking is whether the tools of mass surveillance and social control we spent the last decade building could have had anything to do with the debacle of the 2017 election, or whether destroying local journalism and making national journalism so dependent on our platforms was, in retrospect, a good idea.

We built the commercial internet by mastering techniques of persuasion and surveillance that we’ve extended to billions of people, including essentially the entire population of the Western democracies. But admitting that this tool of social control might be conducive to authoritarianism is not something we’re ready to face. After all, we’re good people. We like freedom. How could we have built tools that subvert it?

.. The economic basis of the Internet is surveillance. Every interaction with a computing device leaves a data trail, and whole industries exist to consume this data.

.. It is the primary source of news for a sizable fraction of Americans, and through its feed algorithm (which determines who sees what) has an unparalleled degree of editorial control over what that news looks like.

.. Together, these companies control some 65% of the online ad market, which in 2015 was estimated at $60B. Of that, half went to Google and $8B to Facebook.

.. These companies exemplify the centralized, feudal Internet of 2017. While the protocols that comprise the Internet remain open and free, in practice a few large American companies dominate every aspect of online life. Google controls search and email, AWS controls cloud hosting, Apple and Google have a duopoly in mobile phone operating systems. Facebook is the one social network.

.. There are two interlocking motives for this data hunger: to target online advertising, and to train machine learning algorithms.

.. A considerable fraction (only Google and Facebook have the numbers) of the money sloshing around goes to scammers.

.. The more poorly current ads perform, the more room there is to tell convincing stories about future advertising technology, which of course will require new forms of surveillance.

.. The real profits from online advertising go to the companies running the casino—Facebook and Google.

.. we assumed that when machines reached near-human performance in tasks like image recognition, it would be thanks to fundamental breakthroughs into the nature of cognition. We would be able to lift the lid on the human mind and see all the little gears turning.

What’s happened instead is odd. We found a way to get terrific results by combining fairly simple math with enormous data sets. But this discovery did not advance our understanding. The mathematical techniques used in machine learning don’t have a complex, intelligible internal structure we can reason about. Like our brains, they are a wild, interconnected tangle.

.. The algorithms learn to show people the things they are most likely to ‘engage’ with—click, share, view, and react to. We make them very good at provoking these reactions from people.

.. If you concede that they work just as well for politics as for commerce, you’re inviting government oversight. If you claim they don’t work well at all, you’re telling advertisers they’re wasting their money.

Facebook and Google have tied themselves into pretzels over this. The idea that these mechanisms of persuasion could be politically useful, and especially that they might be more useful to one side than the other, violates cherished beliefs about the “apolitical” tech industry.

.. All the algorithms know is what they measure, which is the same for advertising as it is in politics: engagement, time on site, who shared what, who clicked what, and who is likely to come back for more.

The persuasion works, and it works the same way in politics as it does in commerce—by getting a rise out of people.

But political sales techniques that maximize “engagement” have troubling implications in a democracy.

.. One problem is that any system trying to maximize engagement will try to push users towards the fringes. You can prove this to yourself by opening YouTube in an incognito browser (so that you start with a blank slate), and clicking recommended links on any video with political content. When I tried this experiment last night, within five clicks I went from a news item about demonstrators clashing in Berkeley to a conspiracy site claiming Trump was planning WWIII with North Korea, and another exposing FEMA’s plans for genocide.

This pull to the fringes doesn’t happen if you click on a cute animal story. In that case, you just get more cute animals (an experiment I also recommend trying). But the algorithms have learned that users interested in politics respond more if they’re provoked more, so they provoke. Nobody programmed the behavior into the algorithm; it made a correct observation about human nature and acted on it.

Social dynamics on sites where people share links can compound this radicalizing force. The way to maximize engagement on Twitter, for example, is to say provocative things, or hoist an opponent’s tweets out of context in order to use them as a rhetorical bludgeon. Twitter rewards the captious.

.. So without explicitly coding for this behavior, we already have a dynamic where people are pulled to the extremes. Things get worse when third parties are allowed to use these algorithms to target a specific audience.

.. Political speech that tries to fly below the radar has always existed, but in the past it was possible to catch it and call it out. When no two people see the same thing, it becomes difficult to trace orchestrated attempts to target people in political campaigns. These techniques of micro-targeted political advertising were used to great effect in both the Brexit vote and the US election.

.. This is an inversion in political life that we haven’t seen before. Conversations between people that used to be private, or semi-private, now take place on public forums where they are archived forever. Meanwhile, the kind of political messaging that used to take place in public view is now visible only to an audience of one.

.. Politically engaged people spend more time online and click more ads. Alarmist and conspiracy-minded consumers also make good targets for certain kinds of advertising. Listen to talk radio or go to prepper websites and you will find pure hucksterism—supplements, gold coins, mutual funds—being pitched by the same people who deliver the apocalyptic theories.

Many of the sites peddling fake news during the election operated solely for profit, and field-tested articles on both sides of the political spectrum. This time around, they found the right to be more lucrative, so we got fake news targeted at Trump voters.

.. Apart from the obvious chilling effect on political expression when everything you say is permanently recorded, there is the chilling effect of your own peer group, and the lingering doubt that anything you say privately can ever truly stay private.

.. Orwell imagined a world in which the state could shamelessly rewrite the past. The Internet has taught us that people are happy to do this work themselves, provided they have their peer group with them, and a common enemy to unite against. They will happily construct alternative realities for themselves, and adjust them as necessary to fit the changing facts.

Finally, surveillance capitalism makes it harder to organize effective long-term dissent. In an setting where attention is convertible into money, social media will always reward drama, dissent, conflict, iconoclasm and strife. There will be no comparable rewards for cooperation, de-escalation, consensus-building, or compromise, qualities that are essential for the slow work of building a movement. People who should be looking past their differences will instead spend their time on purity tests and trying to outflank one another in a race to the fringes.

.. Moreover, powerful people have noted and benefited from the special power of social media in the political arena. They will not sit by and let programmers dismantle useful tools for influence and social control. It doesn’t matter that the tech industry considers itself apolitical and rationalist. Powerful people did not get to be that way by voluntarily ceding power.

.. Consider the example of the Women’s March. The March was organized on Facebook, and 3-4 million people attended. The list of those who RSVP’d is now stored on Facebook servers and will be until the end of time, or until Facebook goes bankrupt, or gets hacked, or bought by a hedge fund, or some rogue sysadmin decides that list needs to be made public.

.. We need the parts of these sites that are used heavily for organizing, like Google Groups or Facebook event pages, to become more ephemeral

.. These features are sometimes called ‘disappearing’, but there is nothing furtive about it. Rather, this is just getting our software to more faithfully reflect human life.

.. You don’t carry all your valuables and private documents when you travel. Similarly, social sites should offer a trip mode where the view of your account is limited to recent contacts and messages.

..  I’ve pushed for “Six Fixes” to the Internet. I’ll push for them again!

  1. The right to examine, download, and delete any data stored about you. A time horizon (weeks, not years) for how long companies are allowed to retain behavioral data (any data about yourself you didn’t explicitly provide).
  2. A prohibition on selling or transferring collections of behavioral data, whether outright, in an acquisition, or in bankruptcy.
  3. A ban on third-party advertising. Ad networks can still exist, but they can only serve ads targeted against page content, and they cannot retain information between ad requests.
  4. An off switch on Internet-connected devices, that physically cuts their access to the network. This switch should not prevent the device from functioning offline. You should be able to stop the malware on your refrigerator from posting racist rants on Twitter while still keeping your beer cold.
  5. A legal framework for offering certain privacy guarantees, with enforceable consequences. Think of this as a Creative Commons for privacy. If they can be sure data won’t be retained, users will be willing to experiment with many technologies that would pose too big a privacy risk in the current reality.

.. At a minimum, we need to break up Facebook so that its social features are divorced from the news feed.

.. But it cannot simultaneously be the platform for political organizing, political campaigns, and news delivery.

.. Shareholder pressure doesn’t work, because the large tech companies are structured to give founders absolute control no matter how many shares they own.

.. The one effective lever we have against tech companies is employee pressure. Software engineers are difficult to hire, expensive to train, and take a long time to replace. Small teams in critical roles (like operations or security) have the power to shut down a tech company if they act in concert.

.. Unfortunately, the enemy is complacency. Tech workers trust their founders, find labor organizing distasteful, and are happy to leave larger ethical questions to management. A workplace free of ‘politics’ is just one of the many perks the tech industry offers its pampered employees. So our one chance to enact meaningful change is slipping away.

Cars and second order consequences

Over a million people are killed in car accidents every year around the world

.. it was easy to predict mass car ownership but hard to predict Wal-mart, and the broader consequences of the move to electric and autonomy will come in some very widely-spread industries, in complex interlocked ways.

.. Roughly half of US spending on car maintenance goes on things that are directly attributable to the internal combustion engine, and much of that spending will just go away. In the longer term, this change might affect the lifespan of a vehicle:

.. Car crashes kill 35k people a year in the USA, but tobacco kills 500k.

.. Most estimates suggest that charging a fully electric fleet would lead to 10-20% more electricity demand. However, a lot depends on when they’re charged: if they’re charged off-peak this might not need more total generating capacity

.. In the USA in 2015, there were 13m collisions of which 1.7m caused injuries; 2.4m people were injured and 35k people were killed. Something over 90% of all accidents are now caused by driver error, and a third of fatal accidents in the USA involved alcohol. Looking beyond deaths and injuries themselves, there is also a huge economic effect to these accidents: the US government estimates a cost of $240bn a year across property damage itself, medical and emergency services, legal, lost work and congestion (for comparison, US car sales in 2016 were around $600bn)

.. if you have no collisions then eventually you can remove many of the safety features in today’s vehicles, all of which add cost and weight and constrain the overall design – no more airbags or crumple zones, perhaps.

.. How much more quickly do you get to school in the morning if you drive at the same speed but don’t have to stop at every stop sign just in case there’s someone there?

.. it has been estimated that 14% of the incorporated land of LA county is used for parking.

.. A study in Oakland, in the San Francisco Bay Area, found that parking requirements pushed up construction costs per apartment by 18%.

.. If you remove the cost of the human driver from an on-demand trip, the cost goes down by perhaps three quarters. If you can also remove or reduce the cost of the insurance, once the accident rate has fallen, it goes down even further.

.. it displaces demand from public transport – though the cost of a bus driver is also large part of the cost of the trip, and those drivers might not be needed either, so buses might also be cheaper

.. Does your robotaxi automatically drop you off at a bus stop on the edge of high-traffic areas, unless you pay a congestion charge?

.. one needs to start thinking much more generally, not just about cars, trucks and roads but cities, land use and real-estate. In fact, one needs to think about cities. Cars have remade cities over the past century, and if cars are now going to change entirely, cities will change too.

.. How do cities change if some or all of their parking space, especially in town centres, is now available for new needs, or dumped on the market, or moved to completely different places? Where are you willing to live if ‘access to public transport’ is ‘anywhere’ and there are no traffic jams on your commute? Does an hour-long commute with no traffic and no need to watch the road feel better or worse than a half-hour commute stuck in near-stationary traffic staring at the car in front?

.. What happens to rural pubs if you don’t have to worry about drink-driving anymore?

.. every AV will be watching everything that goes on around it – even the things that are not related to driving. An autonomous car is a moving panopticon. They might not be saving and uploading every part of that data. But they could be.

By implication, in 2030 or so, police investigating a crime won’t just get copies of the CCTV from surrounding properties, but get copies of the sensor data from every car that happened to be passing, and then run facial recognition scans against known offenders. Or, perhaps, just ask if any car in the area thought it saw something suspicious.

Devin Nunes and Washington’s Riddle Wrapped in a Mystery inside an Enigma

since when is it improper or even unwise for an apprehensive intelligence official to bring information of some importance to the chairman of the House Intelligence Committee for external review — in a climate of endemic distrust of all intelligence agencies?

.. Nunes also said that the surveillance shown to him “was essentially a lot of information on the President-elect and his transition team and what they were doing.”

.. Such a bombshell disclosure redirected the dominant narrative away from one solely about Russian collusion (itself the theme of daily and unsubstantiated leaks) to the possibly illegal means of seeking to substantiate that rumor

.. Such a bombshell disclosure redirected the dominant narrative away from one solely about Russian collusion (itself the theme of daily and unsubstantiated leaks) to the possibly illegal means of seeking to substantiate that rumor

.. If anyone were in Nunes’s position, he or she might doubt that the new Trump administration could fully trust Director Comey or others in the intelligence agencies to provide disinterested appraisals of such information, given that a number of intelligence officials may themselves, in theory, have been involved in the intercepts and their dissemination.

.. Nor would he necessarily believe that Representative Adam Schiff (D., Calif.) would be a reliable partner on the intelligence committee.

.. former CIA director John Brennan is on record having misled the nation about the nature of the drone program and collateral damage. He was forced to apologize in his past for his agency’s intercepts of information on U.S. Senate computers.

.. Schiff, who is the leading Democratic member of the House Intelligence Committee, has claimed that his committee has new evidence of Russian collusion with Team Trump ..  but he has not substantiated such allegations.

.. I think the very point of Nunes’s public announcement was to warn that what has so far been leaked to news agencies is not necessarily the truth

How ISPs can sell your Web history—and how to stop them

The legal changes all stem from the FCC’s decision in February 2015 to reclassify home and mobile ISPs as common carriers. The reclassification had numerous effects: it allowed the FCC to impose net neutrality rules, but it also stripped the Federal Trade Commission of its authority over ISPs because the FTC’s charter from Congress prohibits the agency from regulating common carriers.

.. Before the February 2015 reclassification, ISPs could have been punished by the FTC for violating customers’ privacy. But following the FTC rules wasn’t too onerous—the FTC recommends opt-in consent before selling or sharing the most sensitive information, such as Social Security numbers, the content of communications, financial and health information, information about children, and precise geo-location data.  But ISPs could use an opt-out system for everything else, including Web browsing and app usage history.

.. The most prominent example of an ISP monetizing customers’ browsing history comes from AT&T. Starting in 2013, AT&T charged fiber Internet customers at least $29 extra each month unless they opted in to a system that scanned customers’ Internet traffic in order to deliver personalized ads.