Tag Archives: algorithm

Hello World: Being Human in the Age of Algorithms – Hannah Fry

READ GREEN WITH E-BOOKS

Hello World: Being Human in the Age of Algorithms

Hannah Fry

Genre: Mathematics

Price: $12.99

Publish Date: September 18, 2018

Publisher: W. W. Norton & Company

Seller: W.W. Norton & Company, Inc.


Shortlisted for the 2018 Royal Society Investment Science Book Prize A look inside the algorithms that are shaping our lives and the dilemmas they bring with them. If you were accused of a crime, who would you rather decide your sentence—a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many lives as possible and another that prioritizes the lives of its own passengers? And would you agree to share your family’s full medical history if you were told that it would help researchers find a cure for cancer? These are just some of the dilemmas that we are beginning to face as we approach the age of the algorithm, when it feels as if the machines reign supreme. Already, these lines of code are telling us what to watch, where to go, whom to date, and even whom to send to jail. But as we rely on algorithms to automate big, important decisions—in crime, justice, healthcare, transportation, and money—they raise questions about what we want our world to look like. What matters most: Helping doctors with diagnosis or preserving privacy? Protecting victims of crime or preventing innocent people being falsely accused? Hello World takes us on a tour through the good, the bad, and the downright ugly of the algorithms that surround us on a daily basis. Mathematician Hannah Fry reveals their inner workings, showing us how algorithms are written and implemented, and demonstrates the ways in which human bias can literally be written into the code. By weaving in relatable, real world stories with accessible explanations of the underlying mathematics that power algorithms, Hello World helps us to determine their power, expose their limitations, and examine whether they really are improvement on the human systems they replace.

Link – 

Hello World: Being Human in the Age of Algorithms – Hannah Fry

Posted in alo, Anchor, FF, GE, LG, ONA, PUR, Uncategorized, W. W. Norton & Company | Tagged , , , , , , , , , , | Comments Off on Hello World: Being Human in the Age of Algorithms – Hannah Fry

Here’s the Entertaining Saga of Donald Trump’s 3-5 Million Illegal Voters

Mother Jones

<!DOCTYPE html PUBLIC “-//W3C//DTD HTML 4.0 Transitional//EN” “http://www.w3.org/TR/REC-html40/loose.dtd”>

I’ve managed to restrain myself from commenting on President Trump’s idiotic claim that 3-5 million noncitizens voted in the 2016 election,1 but I have to admit that I’ve been entertained by the ever-changing cast of studies that have been trotted out to defend this claim:

  1. Trump himself first cited a 2012 Pew study, and became angry when ABC’s David Muir suggested he had misinterpreted it. But he had. The study in question was solely about inefficiencies in voter registration, not fraudulent voting. In fact, at the time the report was released the author specifically said that he had “not seen evidence” of any fraudulent voting.
  2. With that shot down, attention turned to a 2014 study by Jesse Richman and David Earnest. This one used survey responses to construct an estimate of fraudulent voting, and concluded that a maximum of 500 thousand to 1 million noncitizens might have voted in recent federal elections. This is far below Trump’s claim, and anyway it’s virtually certain that the study is massively flawed due to its tiny sample size. Once that’s accounted for, the most likely conclusion from this study is that zero noncitizens voted.
  3. With two studies shot down, Trump tweeted today about an old favorite that he heard about again on CNN this morning. This time it’s a guy named Greg Phillips, an old tea partier who’s now a board member of True the Vote. Remember them from 2012? Phillips is also the author of a smartphone voter-fraud reporting app. I’m not joking about this. Phillips recruited a small army of folks who were worried about the election being rigged, and they all downloaded his app and then sent in reports of fishy-looking voters on Election Day. I’m not being snarky here. Check out his app:

    Phillips combined these reports with his archive of “184 million voting records we’ve collected over time,” and then applied an “enormous amount of analytic capability” to produce a final list of 3 million fraudulent votes. He claims that after everything is verified, which will take a few more months, he will release his full list along with the algorithm he used. You betcha. This is so ridiculous it’s basically self-debunking.

So that’s where we are. Trump burbles something stupid, and then his defenders rush out to dig up evidence to support him, each defense more harebrained than the last. I can hardly wait to see what’s next. Sampling the entire nation’s voting records for names with diacritical marks and then comparing it to a survey of people in Toledo? Claiming the NSA has phone records of voter fraud stored at Area 51? The mind boggles.

1Even without knowing anything, it’s idiotic. There are about 20 million noncitizens in the US. Trump is therefore saying that 15-25 percent of all noncitizens voted. This is fantastically beyond anything even remotely plausible.

Read more:

Here’s the Entertaining Saga of Donald Trump’s 3-5 Million Illegal Voters

Posted in alo, Citizen, FF, GE, LAI, LG, ONA, Uncategorized, Venta | Tagged , , , , , , , , | Comments Off on Here’s the Entertaining Saga of Donald Trump’s 3-5 Million Illegal Voters

Conservatives Win Pyrrhic Victory in Facebook War

Mother Jones

<!DOCTYPE html PUBLIC “-//W3C//DTD HTML 4.0 Transitional//EN” “http://www.w3.org/TR/REC-html40/loose.dtd”>

Facebook has caved in to conservative demands that it revamp its Trending Topics feed. Brian Fung describes how the algorithm works:

To be considered for a place in the Trending Topics portion of the site, a topic must generally be mentioned 80 times per hour or more. Facebook takes steps to exclude repeated events that don’t constitute news, such as the hashtag “lunch,” which usually produces more activity during lunchtime, the company said in its letter.

I’m glad to see that Facebook is on top of this. However, I suspect that conservatives are going to be disappointed in the results. Facebook has agreed to stop using external news sites to help it decide which topics are truly trending, and this is likely to have two effects: It will make the Trending Topics feed (a) stupider and (b) more liberal. After all, if you rely entirely on Facebook users, you’re relying on an audience that skews young and college educated. How likely is it that this will favor stories about Agenda 21 and Benghazi?

Visit site: 

Conservatives Win Pyrrhic Victory in Facebook War

Posted in alo, FF, GE, LG, ONA, Uncategorized, Venta | Tagged , , , , , , , , , , | Comments Off on Conservatives Win Pyrrhic Victory in Facebook War

Maybe Twitter Isn’t Planning to Ruin Your Life After All

Mother Jones

<!DOCTYPE html PUBLIC “-//W3C//DTD HTML 4.0 Transitional//EN” “http://www.w3.org/TR/REC-html40/loose.dtd”>

On Twitter, the big outrage over the past few days has been the news that the corporate suits are planning to change the way your Twitter feed works. Instead of simply listing every tweet from your followers in real time, they’ll be rolling out an algorithm that reorders tweets “based on what Twitter’s algorithm thinks people most want to see.” This is something Facebook has been doing for years.

Power users are apoplectic, despite the fact that it’s not clear what’s really going on. A developer at Twitter hit back with this: “Seriously people. We aren’t idiots. Quit speculating about how we’re going to ‘ruin Twitter.'” Nor is it clear when this is really going to roll out. And the rumors suggest that it will be an opt-in feature anyway. Chronological timelines will still be around for everyone who wants them.

In any case, I’d suggest everyone give this a chance. Computer users, ironically, are notoriously change averse, which might be blinding a lot of us to the fact that chronological timelines aren’t exactly the greatest invention since the yellow first down line. Maybe we really do need something better. More generally, here are a few arguments in favor of waiting to see how this all plays out:

I’m a semi-power user. I don’t write a lot on Twitter,1 but I read it a lot. Still, I have a job and a life, and I don’t check it obsessively. And even though I follow a mere 200 people, all it takes is 15 minutes to make it nearly impossible to catch up with what’s going on. Being on the West Coast makes this an especial problem in the morning. A smart robot that helped solve this problem could be pretty handy, even for those of us who are experts and generally prefer a real-time feed.
One of my most common frustrations is coming back to the computer after a break and seeing lots of cryptic references to some new outrage or other. What I’d really like is a “WTF is this all about?” button. An algorithmic feed could be a useful version of this.
As plenty of people have noted, Twitter is a sexist, racist, misogynistic cesspool. There are things Twitter could do about this, but I suspect they’re limited as long as we rely on an unfiltered chronological timeline. Once an algorithm is introduced, it might well be possible to personalize your timeline in ways that clean up Twitter immensely. (Or that allow Twitter to clean it up centrally—though this obviously needs to be done with a lot of care.)
One of the most persuasive complaints about the algorithm is that it’s likely to favor the interests of advertisers more than users. Maybe so. Unfortunately, Twitter famously doesn’t seem able to find a profitable business model. But if we like Twitter, the first order of business is for it to stay in existence—and that means it needs to make money. This is almost certain to be annoying no matter how Twitter manages to do it. A good algorithm might actually be the least annoying way of accomplishing this.
Needless to say, all of this depends on how good the algorithm is. It better be pretty good, and it better improve over time.

So….stay cool, everyone. Maybe this will be an epic, New Coke style disaster that will end up as a case study in business texts for years. It wouldn’t be the first time. Then again, maybe the algorithm will be subtle, useful, and optional. I’ll be curious to try it out, myself.

1Arguments on Twitter are possibly the stupidest waste of time ever invented. Everything that’s bad about arguments in the first place is magnified tenfold by the 140-character limit. It’s hard to imagine that anyone other than a psychopath has ever emerged from a Twitter war thinking “That was great! I really learned something today.”

This article is from:  

Maybe Twitter Isn’t Planning to Ruin Your Life After All

Posted in Everyone, FF, GE, LAI, LG, ONA, Uncategorized, Venta | Tagged , , , , , , , , , , , | Comments Off on Maybe Twitter Isn’t Planning to Ruin Your Life After All