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Instagram, Jetliners, and Human Computation Engines (Friday links)

Jay Stanley,
Senior Policy Analyst,
勛圖眻畦 Speech, Privacy, and Technology Project
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January 18, 2013

Instagram has in just one month as a result of all the bad publicity over its new terms of service, according to a story in the International Business Times. That is a stunning reportperhaps the most surprising indication of mass rebellion over an online policy issue since the defeat of SOPA. Perhaps I am overly conditioned to thinking that these kinds of seemingly obscure issues about the distribution of power on the internetprivacy, openness, intellectual property, etc.are the provenance of geeks and policy nerds and reporters looking for stories. But losing half their daily users in one month? I think thats a reminder that for all the assaults on our privacy by internet advertisers and others, people do still want and demand a sense of control when it comes to their online lives. Especially when it comes to services that people have made a part of their daily existencewhich they feel they have a relationship with. Many privacy and other internet issues seem abstract and removed, and may not trigger a passionate backlash, but sometimes (as with this story, SOPA, and ) they do.

There were so many innovations on this plane that it is hard to fathom how it got approved so quickly. That was the comment of an aviation consultant on the troubles faced by Boeings 787 Dreamliner in this Guardian on how the plane was a nightmare waiting to happen. Its funny to hear rapid innovation framed as a negative in that waybut on reflection it makes sense. A modern jetliner, with more than 2 million parts, is a highly complex piece of machinery. Other highly complex things often require a period of seasoning and very extensive testing by very large numbers of peoplesoftware, for example. Another highly complex thing, of course, is our legal system, which has evolved slowly over time, tempered by experience and slowly seasoned through years of common-law evolution. And as with jetliners, the rapid pace of innovationparticularly innovation in surveillance technologiesis overstraining the systems ability to digest that innovation, to integrate it with our values.

Ive written several times about the interestingand fast-changingboundary between humans and machines. For example, how when one is dealing with a customer-service agent who has no discretion, one is really dealing with a computer program that happens to have a human interface. Or a fake human interface. Ive also argued that when it comes to privacy, it makes no difference whether one is dealing with a human or a machine. The latest wrinkle on this front comes from Twitter, which has (via this ) that it is building what it calls a real-time human computation engine to help it identify the meaning behind new trending search queries and use that understanding to serve ads. Twitters systems automatically identify popular new queries and send them to human beings who answer questions about themthey, unlike a computer, being able to parse what a tag such as #bindersfullofwomen or #bigbird likely refers to in that days news. Then, Twitters automatic systems, having been informed by the humans that these queries are related to politics, use that knowledge to serve relevant ads. Its fascinating to think how such hybrid human-computer systems for creating meaning out of data could evolveand how, in many applications, they will make the computer-human distinction even less relevant when it comes to privacy.

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