Automation isn’t just about technology

This morning’s Observer column:

Ideology is what determines how you think when you don’t know you’re thinking. Neoliberalism is a prime example. Less well-known but equally insidious is technological determinism, which is a theory about how technology affects development. It comes in two flavours. One says that there is an inexorable internal logic in how technologies evolve. So, for example, when we got to the point where massive processing power and large quantities of data became easily available, machine-learning was an inevitable next step.

The second flavour of determinism – the most influential one – takes the form of an unshakable conviction that technology is what really drives history. And it turns out that most of us are infected with this version.

It manifests itself in many ways…

Read on

“The business model of the Internet is surveillance” contd.

This useful graphic comes from a wonderful post by the redoubtable Doc Searls about the ultimate unsustainability of the business model currently dominating the Web. He starts with a quote from “Facebook’s Surveillance Machine” — a NYT OpEd column by the equally-redoubtable Zeynep Tufecki:

“Facebook makes money, in other words, by profiling us and then selling our attention to advertisers, political actors and others. These are Facebook’s true customers, whom it works hard to please.”

Doc then points out the irony of his Privacy Badger software detecting 13 hidden trackers on the NYT page on which Zeynep’s column appears. (I’ve just checked and Ghostery currently detects 19 trackers on it.)

The point, Doc goes on to say, is that the Times is just doing what every other publication that lives off adtech does: tracking-based advertising. “These publications”,

don’t just open the kimonos of their readers. They bring people’s bare digital necks to vampires ravenous for the blood of personal data, all for the purpose of returning “interest-based” advertising to those same people.

With no control by readers (beyond tracking protection which relatively few know how to use, and for which there is no one approach or experience), and damn little care or control by the publishers who bare those readers’ necks, who knows what the hell actually happens to the data? No one entity, that’s for sure.

Doc points out that on reputable outfits like the New York Times writers like Zeynep have nothing to do with this endemic tracking. In such publications there probably is a functioning “Chinese Wall” between editorial and advertising. Just to drive the point home he looks at Sue Halpern’s piece in the sainted New Yorker on “Cambridge Analytica, Facebook and the Revelations of Open Secrets” and his RedMorph software finds 16 third-party trackers. (On my browser, Ghostery found 18.) The moral is, in a way, obvious: it’s a confirmation of Bruce Schneier’s original observation that “surveillance is the business model of the Internet”. Being a pedant, I would have said “of the Web”, but since many people can’t distinguish between the two, we’ll leave Bruce’s formulation stand.

Ethics 101 for Facebook’s geeks

”Ask yourself whether your technology persuades users to do something you wouldn’t want to be persuaded to do yourself.”

”Toward an Ethics of Persuasive Technology” By Daniel Berdichevsky and Erik Neuenschwande, Communications of the ACM, Vol. 42 No. 5, Pages 51-58 10.1145/301353.301410

Macron on AI: he gets it

Very interesting interview given by President Macron to Wired Editor Nicholas Thompson. Here’s a key excerpt:

AI will raise a lot of issues in ethics, in politics, it will question our democracy and our collective preferences. For instance, if you take healthcare: you can totally transform medical care making it much more predictive and personalized if you get access to a lot of data. We will open our data in France. I made this decision and announced it this afternoon. But the day you start dealing with privacy issues, the day you open this data and unveil personal information, you open a Pandora’s Box, with potential use cases that will not be increasing the common good and improving the way to treat you. In particular, it’s creating a potential for all the players to select you. This can be a very profitable business model: this data can be used to better treat people, it can be used to monitor patients, but it can also be sold to an insurer that will have intelligence on you and your medical risks, and could get a lot of money out of this information. The day we start to make such business out of this data is when a huge opportunity becomes a huge risk. It could totally dismantle our national cohesion and the way we live together. This leads me to the conclusion that this huge technological revolution is in fact a political revolution.

When you look at artificial intelligence today, the two leaders are the US and China. In the US, it is entirely driven by the private sector, large corporations, and some startups dealing with them. All the choices they will make are private choices that deal with collective values. That’s exactly the problem you have with Facebook and Cambridge Analytica or autonomous driving. On the other side, Chinese players collect a lot of data driven by a government whose principles and values are not ours. And Europe has not exactly the same collective preferences as US or China. If we want to defend our way to deal with privacy, our collective preference for individual freedom versus technological progress, integrity of human beings and human DNA, if you want to manage your own choice of society, your choice of civilization, you have to be able to be an acting part of this AI revolution . That’s the condition of having a say in designing and defining the rules of AI. That is one of the main reasons why I want to be part of this revolution and even to be one of its leaders. I want to frame the discussion at a global scale.

Even after discounting the presidential hubris, this is an interesting and revealing interview. Macron is probably the only major democratic leader who seems to have a grasp of this stuff. And a civilising view of it. As here:

The key driver should not only be technological progress, but human progress. This is a huge issue. I do believe that Europe is a place where we are able to assert collective preferences and articulate them with universal values. I mean, Europe is the place where the DNA of democracy was shaped, and therefore I think Europe has to get to grips with what could become a big challenge for democracies.

And this:

At a point of time–but I think it will be a US problem, not a European problem–at a point of time, your [American – ed] government, your people, may say, “Wake up. They are too big.” Not just too big to fail, but too big to be governed. Which is brand new. So at this point, you may choose to dismantle. That’s what happened at the very beginning of the oil sector when you had these big giants. That’s a competition issue.

But second, I have a territorial issue due to the fact that they are totally digital players. They disrupt traditional economic sectors. In some ways, this might be fine because they can also provide new solutions. But we have to retrain our people. These companies will not pay for that; the government will. Today the GAFA [an acronym for Google, Apple, Facebook, and Amazon] don’t pay all the taxes they should in Europe. So they don’t contribute to dealing with negative externalities they create. And they ask the sectors they disrupt to pay, because these guys, the old sectors pay VAT, corporate taxes and so on. That’s not sustainable.

Third, people should remain sovereign when it comes to privacy rules. France and Europe have their preferences in this regard. I want to protect privacy in this way or in that way. You don’t have the same rule in the US. And speaking about US players, how can I guarantee French people that US players will respect our regulation? So at a point of time, they will have to create actual legal bodies and incorporate it in Europe, being submitted to these rules. Which means in terms of processing information, organizing themselves, and so on, they will need, indeed, a much more European or national organization. Which in turn means that we will have to redesign themselves for a much more fragmented world. And that’s for sure because accountability and democracy happen at national or regional level but not at a global scale. If I don’t walk down this path, I cannot protect French citizens and guarantee their rights. If I don’t do that, I cannot guarantee French companies they are fairly treated. Because today, when I speak about GAFA, they are very much welcome I want them to be part of my ecosystem, but they don’t play on the same level-playing field as the other players in the digital or traditional economy. And I cannot in the long run guarantee my citizens that their collective preferences or my rules can be totally implemented by these players because you don’t have the same regulation on the US side. All I know is that if I don’t, at a point of time, have this discussion and regulate them, I put myself in a situation not to be sovereign anymore.

Lots more in that vein. Well worth reading in full.

Will the GDPR make blockchains illegal in Europe?

Well, well. This is something I hadn’t anticipated:

Under the European Union’s General Data Protection Regulation, companies will be required to completely erase the personal data of any citizen who requests that they do so. For businesses that use blockchain, specifically applications with publicly available data trails such as Bitcoin and Ethereum, truly purging that information could be impossible. “Some blockchains, as currently designed, are incompatible with the GDPR,” says Michèle Finck, a lecturer in EU law at the University of Oxford. EU regulators, she says, will need to decide whether the technology must be barred from the region or reconfigure the new rules to permit an uneasy coexistence.

The ethics of working for surveillance capitalists

This morning’s Observer column:

In a modest way, Kosinski, Stillwell and Graepel are the contemporary equivalents of [Leo] Szilard and the theoretical physicists of the 1930s who were trying to understand subatomic behaviour. But whereas the physicists’ ideas revealed a way to blow up the planet, the Cambridge researchers had inadvertently discovered a way to blow up democracy.

Which makes one wonder about the programmers – or software engineers, to give them their posh title – who write the manipulative algorithms that determine what Facebook users see in their news feeds, or the “autocomplete” suggestions that Google searchers see as they begin to type, not to mention the extremist videos that are “recommended” after you’ve watched something on YouTube. At least the engineers who built the first atomic bombs were racing against the terrible possibility that Hitler would get there before them. But for what are the software wizards at Facebook or Google working 70-hour weeks? Do they genuinely believe they are making the world a better place? And does the hypocrisy of the business model of their employers bother them at all?

These thoughts were sparked by reading a remarkable essay by Yonatan Zunger in the Boston Globe, arguing that the Cambridge Analytica scandal suggests that computer science now faces an ethical reckoning analogous to those that other academic fields have had to confront…

Read on

Will computer science have an ethical reckoning?

I came on an interesting series of tweets on Twitter by Yonatan Zunger (@yonatanzunger) triggered by reading the revelations in the Observer and New York Times about the way stolen Facebook data had been weaponised for use in the US presidential election by a rogue data-scientist and an unscrupulous company. A key element in was a wide-ranging and astonishingly frank interview given to Observer journalist Carole Cadwalladr by Chris Wylie, the programmer who wrote the code used to exploit the data. I’ve assembled Zunger’s tweetstream in chronological order:

I didn’t come up in computer science; I used to be a physicist. That transition gives me a rather specific perspective on this situation: that computer science is a field which hasn’t yet encountered consequences.

Chemistry had two reckonings, in the late 19th and early 20th centuries: first with dynamite, and then with chemical weapons. Physics had its reckoning with the Bomb. These events completely changed the fields, and the way people come up in them.

Before then, both fields were dominated by hope: the ways that science could be used to make the world a fundamentally better place. New dyes, new materials, new sources of energy, new modes of transport; everyone could see the beauty.

Afterwards, everyone became painfully, continuously aware of how things could be turned against everything they ever dreamed of.

I don’t know the stories from chemistry as well. In physics, I can tell you that everyone, from their first days as an undergrad (or often before), encounters this and wrestles with it. They talk about it in the halls or late at night, they worry about it.

They occasionally even rap about it, like @acapellascience (a physicist, btw) did. (The lyrics are worth listening to carefully)

This isn’t to say that physicists are all pacifists. The rift between Edward Teller and J. R. Oppenheimer after the war was legendary, and both of them had very real reasons to believe what they did: Teller to love the Bomb, Oppenheimer to hate it.

(For those wondering: Teller was part of that generation of Central Europeans who saw exactly how bad things could get in so much detail. They were famous for their determination to make sure things were safe at all goddamned costs.)

They were infamously not messing around, even though they took a wide range of approaches to it; consider that Edward Teller, John von Neumann, Henry Kissinger, and George Soros were all part of that.)

For a long time, it frightened me that biology hadn’t yet had this moment of reckoning — that there hadn’t yet been an incident which seared the importance of ethics and consequences into the hearts of every young scientist. Today, it frightens me more about computer scientists.

Young engineers treat ethics as a speciality, something you don’t really need to worry about; you just need to learn to code, change the world, disrupt something. They’re like kids in a toy shop full of loaded AK-47’s.

The hard lesson which other fields had to learn was this: you can never ignore that for a minute. You can never stop thinking about the uses your work might be put to, the consequences which might follow, because the worst case is so much worse than you can imagine.

Even what Chris Wylie did is only the beginning. You hand authoritarian regimes access to modern data science, and what happens? You create the tools of a real panopticon, and what happens?

Those of you in CS right now: if you don’t know if what I’m saying makes sense, pick up Richard Rhodes’ “The Making of the Atomic Bomb.” It’s an amazingly good book in its own right, and you’ll get to know both the people and what happened.

Think about this problem like SRE’s, like safety engineers. Scope your failure modes out to things involving bad actors using the systems you’re building. Come up with your disaster response exercises.

If you can do it without wanting to hide under a table, you’re not thinking hard enough. There are worse failure modes, and they’re coming for you. And you will be on deck to try to mitigate them. //

Short postscript: As several people have pointed out, many fields of biology have had these reckonings (thanks to eugenics and the like), and civil engineering did as well, with things like bridge collapses in the late 19th century.

LATER Zunger wrote all this more elegantly in the Boston Globe

Why you can’t believe what you see (or hear)

This morning’s Observer column:

When John F Kennedy was assassinated in Dallas on 22 November 1963, he was on his way to deliver a speech to the assembled worthies of the city. A copy of his script for the ill-fated oration was later presented by Lyndon Johnson to Stanley Marcus, head of the department store chain Neiman Marcus, whose daughter was in the expectant audience that day.

The text has long been available on the internet and it makes for poignant reading, not just because of what happened at Dealey Plaza that day, but because large chunks of it look eerily prescient in the age of Trump. JFK was a terrific public speaker who employed superb speechwriters (especially Theodore Sorensen). His speeches were invariably elegant and memorable: he had a great eye for a good phrase, and his delivery was usually faultless. So his audience in Dallas knew that they were in for a treat – until Lee Harvey Oswald terminated the dream.

Last week, 55 years on, we finally got to hear what Kennedy’s audience might have heard…

Read on

Interesting uses for blockchain technology #15610

From a lovely rant by Paul Ford:

The blockchain can be a form of media. The writer Maria Bustillos is starting a magazine that will publish on the blockchain — which means it will be impossible to take down. (Disclosure: In theory, I’ll write for Maria, who’s a friend, and she’ll pay me in cryptocurrency, or what she calls “space jewels.”) One of her aims is to make it impossible for people—Peter Thiel, for example, who backed Hulk Hogan’s lawsuit against Gawker—to threaten publications they dislike.

You could even make a distributed magazine called Information of Vital Public Interest About Peter Thiel that would be awfully hard to sue into oblivion. It’s the marketplace of ideas. Literally. Try another thought experiment. Remember that anonymously created list of men who worked in media and who were alleged sexual harassers? You could, by whispering the allegations from one wallet to the next, put that information on a blockchain. You could make a web browser plug-in so that whenever someone visited a sexual harasser’s LinkedIn page, that page could glow bright red. You could have a distributed, immutable record of sexual harassment allegations on the internet. (Is there an economy around such allegations? Well, people do pay for gossip. GossipCoin?)