Choice Blindness

One of my favorite psych studies is one where a subject who had had his left and right brain hemispheres severed was asked to point (with either his left or his right hand) to one of four given pictures that matches a test picture. Unbeknownst to the subject, his right eye is shown one test picture (say, of a chicken claw) and their left eye is shown a different one (say, a snow scene). When asked to point with his right hand to the matching picture he picked a chicken, when asked to point with his left he picked the snow shovel. The fascinating part is when the subject was asked to verbally explain why he picked the snow shovel. Language is mostly generated in the left hemisphere (which controls the right hand), the half that didn’t pick the shovel. Rather than look confused, he invariably came up with explanations for why he picked what he did — explanations that the experimenter knew were incorrect like “oh, you need the shovel to clean up the chicken coop.”

Now BPS Research Digest points to a new study where they find the same sort of “choice blindness” in normal subjects:

One hundred and twenty participants were shown 15 pairs of female faces (taken from here). For each pair they had to say which of the two faces they found more attractive, and on a fraction of trials they had to say why they’d made that choice, in which case the photo of the face they’d selected was slid across the table to them so they could look at it while they explained their choice. Crucially, on a minority of these trials, the researchers used sleight of hand to surreptitiously pass the participant the photo of the face they had just rejected, rather than the one they’d chosen.

Bizarrely, only about a quarter of these trick trials were noticed by participants, despite the fact the two faces in a pair often bore little resemblance to one another. Even stranger was the way the participants then went on to justify choosing the face on the card they were holding, even though it was actually the face they’d rejected. It’s not that participants weren’t paying attention to the face they’d been passed – the justifications they gave often related to features specific to this face, not the one they’d actually chosen. Independent raters who compared participants’ verbal explanations for choices they had made (non-trick trials), with their explanations for the choices they hadn’t made (trick trials), found no differences in amount of emotional engagement, degree of detail given, or confidence.

As I’ve said before: Man is not a rational creature. Man is a rationalizing creature.

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And the first OSX Trojan in the wild goes to… Sony?

Last year there was a bunch of hoopla about the “first Mac OS X Trojan Horse”, a claim that was quickly dismissed as being a non-issue since it was just a proof of concept and wasn’t found in the wild.

Now it looks like we may have the first real Trojan for OS X found in the wild… being distributed by Sony. According to a tip published in Macintouch (and reported in The Register), Sony BMG is is including Mac-aware DRM software from Sunncomm in their new release of Imogen Heap’s CD Speak for Yourself. The application, innocuously called Start.app, installs two kernel extensions that implement Suncomm’s DRM scheme.

In their defense (legal, if not moral) the software does pop up an End User License Agreement that tells you what they’re going to do — and I’m sure you all read those EULAs in their entirety before clicking OK, right?

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5000 years of prior art is “limited”?

The US Patent & Trademark Office just published an application for a patent on a particular storyline, filed by rocket-scientist-turned-patent-agent Andrew Knight [Register article]. If granted (a big if) this could open literary plots to patent protection much like the 1980 Supreme Court case Diamond vs. Diehr opened the way for patents on software and algorithms.

I’ll leave the debate on the legal points to the experts, but I can’t help but imagine all the engineers in the Patent Office trying to decide whether Knight’s plot idea is both novel and non-obvious to one well-versed in the field of story-writing. In a way, the situation is very much like 1980, when the USPTO wouldn’t hire computer scientists to evaluate software patents because they only hired people with “Engineering” in their degree. Sure, the evaluators would catch if someone tries to patent the plot to The Matrix: Reloaded, but will they recognize a plot from an obscure Henry James novel, or one only published in Chinese?

The significance of this lies in how prior art is handled differently by copyright and patent law. Plots are currently covered under copyright law, though unlike patent law there are no “claims” that are written out in advance to specify just how different a new work must be before it no longer infringes. The key difference for prior art is that copyright only protects actual copying of an expression of a work. If you write a screenplay and then I produce an almost identical screenplay without your permission, that’s only illegal if I actually copied your work. If I can convince a jury that I’d never even seen your work and we just happened to come up with the same idea at the same time, I’m off the hook. In fact, in that situation both of us could hold copyrights on our respective versions, regardless of their similarity. Prior art in copyright cases is really just two simple questions of fact: did you come up with your work yourself (i.e. not copy from anyone else), and if so then did I copy your work?

Patents, on the other hand, can be infringed whether or not the infringer knows the patent exists. If you and I both independently create the same invention (which happens more often than you’d think) then whoever filed for the patent first (or in the US, whoever invented first) gets exclusive right to the invention. The flip-side is also true: if the process you are trying to patent has already been published then you can’t patent it, even if you never knew about the prior art. For both parties to a suit, copyright treats originality as anything that came from the author’s head, while patent law treats originality as anything that is literally new under the sun.

Knight’s page discussing the expected value of a storyline-patent application emphasizes the prior-art problem with a rather chilling assertion:

The breadth of Storyline Patent protection available, before the Federal Circuit approves Storyline Patents and the floodgates to the Patent Office open, is far greater than after. Beat your competitors to the Patent Office and be among the first applicants to enjoy examination over limited prior art. [Emphasis mine]

From that quote you might think that the only prior art checked for a patent is that which already exists in the patent database. That may even be true in practice, due to examiners’ limited expertise and resources, but as I already pointed out, for patents prior art includes anything that has ever been published or disclosed. Ever. If you’re patenting a new automobile engine then that’s a relatively bounded problem — the gas engine was invented less than 150 years ago, and the field of engine design is relatively small. Other technical fields are similarly bounded because technological innovation tends to be incremental, building on top of prior inventions like towers extending into a downtown skyline.

Stories, on the other hand, can emerge from anything connected to human experience. If new technology is built on top of the old like a densely-packed downtown, stories are like wind-carried seeds that can take root almost anywhere. This is not to say that every story is unique — on the contrary, after 5000+ years the landscape is fairly crowded. Sure you can set your story of star-crossed lovers on the West Side of New York instead of Verona, but the difference between your new plot and prior art (and thus what your claims could cover) will be pretty narrow. But that’s only true if someone can actually find the particular stories that read on your claims.

I suspect (and certainly hope) that this application will be rejected and the whole question will be moot, but I could very well be wrong: the trend for the last 25 years or so has been towards granting more exclusive rights to content holders, not fewer. Luckily, I also don’t expect a disaster even if we do see storyline patents in our future. Precisely because stories are such a broad field, a 20-year limited monopoly just doesn’t have the same detrimental effect on innovation like a patent on a key technology can. And compared to the lifetime of an author plus 70 years (plus an additional 20 years every 20 years), a single 20-year government restriction on the free market of ideas sounds like a bargain.

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Remember, remember

Remember, remember the fifth of November
Gunpowder treason and plot.
I see no reason why gunpowder treason
Should ever be forgot.

Guy Fawkes, Guy Fawkes, twas his intent
To blow up king and parliament.
Three score barrels were laid below
To prove old England’s overthrow.

By God’s mercy he was catch’d
With a dark lantern and lighted match.
Holloa boys, holloa boys, make the bells ring
Holloa boys, holloa boys, God save the King.
Hip hip hoorah!

A penny loaf to feed the Pope.
A farthing o’ cheese to choke him.
A pint of beer to rinse it down.
A faggot of sticks to burn him.

Burn him in a tub of tar.
Burn him like a blazing star.
Burn his body from his head.
Then we’ll say ol’ Pope is dead.
Hip hip hoorah!
Hip hip hoorah!

(That would be 400 years ago, today…)

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Amazon harvesting natural intelligence

By way of John Battelle’s SearchBlog:

Amazon Mechanical Turk provides a web services API for computers to integrate “artificial, artificial intelligence” directly into their processing by making requests of humans. Developers use the Amazon Mechanical Turk web services API to submit tasks to the Amazon Mechanical Turk web site, approve completed tasks, and incorporate the answers into their software applications. To the application, the transaction looks very much like any remote procedure call: the application sends the request, and the service returns the results. In reality, a network of humans fuels this artificial, artificial intelligence by coming to the web site, searching for and completing tasks, and receiving payment for their work.

The service is legit — http://mturk.amazon.com/ redirects to the main site.

On first blush it sounds similar to OpenMind (which was started by David Stork, a coworker of mine). OpenMind has especially been used to gather human knowledge for training up AIs (especially common-sense knowledge) — I wonder where Amazon expects to go with the idea.

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