How Algorithms May Affect You (phys.org)
New submitter Muckluck shares an excerpt from a report via Phys.Org that provides "an interesting look at how algorithms may be shaping your life": When you browse online for a new pair of shoes, pick a movie to stream on Netflix or apply for a car loan, an algorithm likely has its word to say on the outcome. The complex mathematical formulas are playing a growing role in all walks of life: from detecting skin cancers to suggesting new Facebook friends, deciding who gets a job, how police resources are deployed, who gets insurance at what cost, or who is on a "no fly" list. Algorithms are being used -- experimentally -- to write news articles from raw data, while Donald Trump's presidential campaign was helped by behavioral marketers who used an algorithm to locate the highest concentrations of "persuadable voters." But while such automated tools can inject a measure of objectivity into erstwhile subjective decisions, fears are rising over the lack of transparency algorithms can entail, with pressure growing to apply standards of ethics or "accountability." Data scientist Cathy O'Neil cautions about "blindly trusting" formulas to determine a fair outcome. "Algorithms are not inherently fair, because the person who builds the model defines success," she said. Phys.Org cites O'Neil's 2016 book, "Weapons of Math Destruction," which provides some "troubling examples in the United States" of "nefarious" algorithms. "Her findings were echoed in a White House report last year warning that algorithmic systems 'are not infallible -- they rely on the imperfect inputs, logic, probability, and people who design them,'" reports Phys.Org. "The report noted that data systems can ideally help weed out human bias but warned against algorithms 'systematically disadvantaging certain groups.'"
It's the end of intelligence as we know it.
Just cruising through this digital world at 33 1/3 rpm...
In my day, we had a simple and effective way to judge algorithms:
O(n log(n)) or faster: good
O(n^2) or slower: bad
Enter this captcha so we know you're not a robot. Then go away for awhile.
Because the processes were so transparent to begin with. At least the algorithms have the possibility of being looked at. Maybe that should have been the story.
THEres a goddamn Russian spy ship off our coast and they have goddam nukes
...no you can't do what you want.
But who can I talk to?
No one, the computer has made up its mind.
What groups?
Some federal database might buy a state database and find lots of illegal migrants getting free city or state services?
That a person is a religious covert? Does their faith or cult have issues? A person buying products or searching for topics that get reported and tracked?
A person looking to travel? Most of the US online tracking is looking for any trace of radicalization and mobilization. Is a person of interest looking up interesting things?
Get some US gov/mil work? Need a polygraph? Expect to be tracked online for a while before the polygraph to see if you are doing any online or book reading to evade the polygraph test.
If your searching for words that the US gov has an interest in tracking expect to be tracked. Brands sell their user data in bulk to anyone. Governments can buy sorted data from the private sector on any topic.
Domestic spying is now "Benign Information Gathering"
The author seems to think that the alternative to "algorithms" is people making good decisions. That's simply not true. The alternative is people attempting, or not, to follow some agreed on some ill-defined process.
Note that algorithms make it harder to ignore that we have to make tradeoffs. To take one of the examples from the article, we may have to choose between "well-respected teachers" and those who actually help students significantly. (Of course, we could reveal performance information and let parents make the decision for their kids, but ....)
"undereducated voters"
It little behooves the best of us to comment on the rest of us.
Al Gore rhythm
It little behooves the best of us to comment on the rest of us.
I'm hoping everyone on Slashdot posting here understands what an algorithm actually is.
My guess is they don't, because BeauHD obviously doesn't in his rush to slam trumpet.
https://en.wikipedia.org/wiki/...
To put in layman terms - everything automated takes parameters and creates a result. It's because people make a sorta flowchart that draws on information and slam bam Kazam - outputs a result.
Which is now evil because of Trump.
Whipslash, please, I'm begging.
Tell him to stop shifting the site to SJW and EnviroNazi!
_ _ _ Go for the eyes Boo! GO FOR THE EYES!
no
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Author, for referring to them as algorithms and not 'OMG AI!!'. No forward progress can be made ethically, practically, or scientifically with such ridiculous, pubescent misnomers.
Is this what passes for intelligent discourse at Phys.org? So many errors, so little time. First, an algorithm is NOT involved when I pick a movie to stream on Netflix. I pick the movie, Netflix streams it. Unless you want to count the code necessary to display a web page and process a click. Second, algorithms are NOT "complex mathematical formulas." A formula is a specification for a single computational step (or a series of similar steps, in the case of calculus). An algorithm is a non-mathematical procedure, with memory, decision making, input and output from and to various sources and sinks, and, well, formulas. Algorithms contain formulas, but formulas don't contain algorithms. And phys.org does not contain the sense God gave raisins.
In my day, we had a simple and effective way to judge algorithms:
Well in MY day we didn't have the luxury of ignoring the 'C' so readily.
"There is more worth loving than we have strength to love." - Brian Jay Stanley
Your resume just doesn't have the keywords we're looking for. Fuck off and die.
"Which is why the Matrix was redesigned to this, the peak of your civilization. I say your civilization, because as soon as we started thinking for you, it really became our civilization, which is of course what this is all about."
"A federal appeals court decisively struck down North Carolina’s voter identification law on Friday, saying its provisions deliberately “target African-Americans with almost surgical precision” in an effort to depress black turnout at the polls."-July 29, 2016
https://www.nytimes.com/2016/0...
So, this is the next step in push-button policing: No investigation of the unwanted behaviour, no questioning of the dissident, probably, not even a confirmation of the report; the data and a secret algorithm decide someone is too dangerous to walk on a plane but can drive a vehicle without causing harm. Given that people have landed on the no-fly list for having a name that 'sounds' like a terrorist, it's not much of a failure in national security.
The real danger, like with arrest records and police records, is that someone will decide it's a good reason to deny someone on the list, access to modern services. We've seen it already with US politicians demanding the "terrorists" on the no-fly be denied the ability to buy more guns. Their demands didn't (and couldn't) take guns away from those dissidents, just provide punishment for being a "terrorist".
For example, someone who has been searching internet as a systems admin, will have pre-trained their version of Google to efficiently answer questions in one domain, which the generic search might not provide. So, one resolves bugs faster, and the other loses the job.. But with Google's choice at hand, Google could just tune the level of its usefuleness for different goals on a per-person basis... Give some users more useful version of Google than others, etc. Would having the Jeff Dean's version of Google search make you a better programmer, or an ice hockey professional player's version of Google?
A recent report on this in the Netherlands summarised it as "playtime has to be over". Big data and the algorithms that work on top it are getting a serious amount of power over our lives. Any little scrap of data is starting to influence your chances of getting a job, a cheap loan, or even a date.
If you want to know how scary this gets, check out this presentation by Alexander Nix on how he used this type of data to influence the elections.
https://www.youtube.com/watch?...
Or have a look at the new "Social Credit Score" that China is implementing, in which every citizen gets a score that shows if they are a well behaved citizen or not.
https://en.wikipedia.org/wiki/...
I also highly recommend watching this interview with professor Frank Pasquale, which summarises the issue.
https://youtu.be/PDjgyTnzWuQ
(Academic students here are not allowed to cite Weapons of Math Destruction, but you are allowed to use his book)
We should be demanding access to the data and algorithms used to generate pricing for mandatory services like the ACA, home insurance, and automobile insurance. We should never be required to buy anything without even knowing the basis for the charges.
"You're right," Fisheye says. "I should have set it on 'whip' or 'chop.'"
Take the deployment of Police resources. They try to predict in what area crimes are more likely to happen at a time in point. Area has higher crime rate, police forces are deployed in the area. Result: even more crimes recorded in that area.
Model says people are not the right candidate to get the job. Result: you don't get the job and other people who look good to the model get the job. Again, more data that "proves" those people should not get that job and the other people do.
... garbage in, garbage out.
The fact is that SJWs cannot seem to comprehend that inequality in result isn't itself proof of some bias, PARTICULARLY if the bias-factor isn't even part of the algorithm.
Further, the fear is that simple objective analysis will occur without human intervention, and thus lack someone to call racist, sexist etc (in essence, so they're pre-labeling the author of algorithms as racist, sexist etc.).
For example
Your algorithm shows that people below a certain income level fail to repay loans at the normal rate, so it calculates the interest rate upcharge needed to offset the lower rates of repayment. Said upcharge seems to be applied more frequently to minority borrowers = "racism" (even though it's based entirely on income, not skin color)
-Styopa
The first movie I ever watched on netflix was Inside Out. At the end, Netflix's first recommendation was that if I liked Inside Out, I should watched Inside Out in french.
Great algorithm there. Oh the complexity. What's next? The spanish version?
Probably the worst suggestion any person could have ever made to anyone outside of a french class.
The algorithm must have been so happy. Think about it. It found a movie, where every word spoken is totally different, but there's a 100% match on the title! Woohoo! A perfect match! What a perfect recommendation!
Years of netflix recommendation engine contests. Well done.
Thrre will be no point in the future at ehich we just get to turn off our brains. Relying on software to this extent is the height of stupidity, regardless of its capabilities. It isn't 'biased' - it's effing software. We have become so unfathomably lazy and stupid it boggles the mind. Don't want software fucking things up? Then don't implement it where it shouldn't be implemented, it's that simple, as it will likely never reach a state of 'good enough', let alone 'perfect' for these types of situation. This is all greed and insanity on overdrive, and nobody in the U.S. gives a shit so long as they can include a selfie. We are doomed, perhaps, but it's because we are fucking morons, not because we have technology.
No, it doesn't mean that at all. You're not considering that machines can write algorithms. And they certainly can. Genetic software (which we can very accurately describe as an implementation of "nature's algorithm") has been doing that for decades now, and the deep learning mechanisms we're just beginning to explore now could be leveraged in similar ways, perhaps already are.
And that's without any real advances towards actual AI. With such advances... who knows where algorithms might go. Or come from.
I've fallen off your lawn, and I can't get up.
Don't forget the algorithm that determined which "hundreds of movies" out of the zillions that have been made that you got to choose from out of the first 30, and the algorithms that the movies studio used, and the algorithms that the effects companies used, and the algorithms that determine which actors were "hot"...
To say that making a choice on Netflix is "algorithm-free" is to not even remotely understand the world one lives in.
I've fallen off your lawn, and I can't get up.
Doesn't work on us. We can think at the same level as the creators of said algorithms. It's not a "War of Math Destruction" it's a "War of Meta Thinking". It is akin to playing a game of chess and trying to guess based on previous experience from playing your opponent what you think they will do and make a move to counter it. But if you're opponent is thinking in the same manner and is thinking you might think in this way and anticipates you arriving at that conclusion, he/she can counter your counter.
This is why society especially in America seems to have a preference for blind obedience. They are "easier" to deal with (read: easier to exploit) than those who are more aware of these types of games.
We'll make great pets
I've spent my entire life trying not to be this dim. Yes, very clever work there treading on the narrow definition—while engaged in 100% baby flush.
The ridiculousness of this is apparent to any thinking person in less time than it takes to type "Wittgenstein".
Because some human process defined the solution gradient that the "genetic" software optimized over—ad infinite turtle—in an act of algorithmic emancipation now glibly lumped under the verb "write" by the baby-impervious membrane all-too-tragically-often comporting itself as "logic".
After pressing "submit", in a split-second second evaluation, I noticed that that sentence I wrote does not quite work.
Problematic:
Less problematic:
Cognitively, this is a turtle too soon for full effect.
Even less problematic, but horrifying:
Horrifying because I've always regarded this kind of sub-phrase repetition as the hallmark of hack speechwriters. One can partially excuse this by placing a semicolon in front of the repeated phrase, but here the semicolon is incompatible with the closing mdash.
Language is a complex solution gradient, one that humans have yet to successfully express. Sad. All those unemployed genetic algorithms, awaiting human clue.
We don't like this guys worldview, let his search results get lower quality results. We can counter this belief system by giving only results that are contrary to it.
Facebook has been proving this for years.
whatever does not profit or align with FB's board, does not "trend".
Outrage is driven by algorithm on every social media platform.
And now the algorithms push "fear" to the level where it manifests as real world violence.
> You are leaving out the money part. Credit is not rich. Its debt. You
> want to be rich, have money as savings. You want to be wealthy, have
> money as assets/investments. Most don't need credit except for a car
> (still poor), a home (very common), school loans (credit may affect rates).
That's how it used to be. Nowadays, credit ratings are part of the hiring process. If you have a bad credit score, you can't get a promotion, or in some cases even a job. So you have no income and default on loans. And the credit rating algorithm shows up as being "successful".
Or at best, you're stuck in a lower income job. Either way, you end up poorer because of credit ratings, even if you have no intention of applying for a loan.
I'm not repeating myself
I'm an X window user; I'm an ex-Windows user