Best Hello World: Being Human In The Age Of Algorithms Quotes by Hannah Fry

"As we’ll see time and time again in this book, expectations are important."

"For the time being, worrying about evil AI is a bit like worrying about overcrowding on Mars."

"The vast majority of algorithms will be built to perform a combination of the above."

"The question is, if we’re handing over all that power – are they deserving of our trust?"

"Sometimes, like Petrov, they’ll be right to over-rule an algorithm. But often our instincts are best ignored."

"Both types have their pros and cons. Because rule-based algorithms have instructions written by humans, they’re easy to comprehend."

"The experiment focused around an upcoming election in India."

"The story of Deep Blue defeating the great grandmaster demonstrates that the power of an algorithm isn’t limited to what is contained within its lines of code."

"In the end, even with the best, most deviously micro-profiled campaigns, only a small amount of influence will leak through to the target."

"A simple step-by-step procedure for solving a problem or accomplishing some end especially by a computer."

"In my years working as a mathematician with data and algorithms, I’ve come to believe that the only way to objectively judge whether an algorithm is trustworthy is by getting to the bottom of how it works."

"Rather than using all the data at once, there is a way to divide and conquer."

"A room full of strangers will be right more often than the cleverest person you know."

"The trees may not all agree, and on their own they might still make weak predictions, but just by taking the average of all their answers, you can dramatically improve the precision of your predictions."

"Random forests have proved themselves to be incredibly useful in a whole host of real-world applications."

"First, the algorithm will always give exactly the same answer when presented with the same set of circumstances."

"An algorithm hadn’t been used by the New York judicial system during these cases, but looking retrospectively, the researchers got to work building lots of decision trees."

"The algorithm also makes much better predictions."

"The errors made by many can cancel each other out and result in a crowd that’s wiser than the individual."

"The algorithm could reduce the rate of skipping bail by 24.7 per cent."

"The algorithm provides them a way to do less work while not being accountable."

"Until all groups are arrested at the same rate, this kind of bias is a mathematical certainty."

"It’s a development that has sparked a heated debate, and not without cause."

"A judge also has to take into account the risk the offender poses to others."

"Judges are doing nothing more strategic than going through an ordered checklist of warning flags in their heads."

"The judges and the machine didn’t agree on their predictions."

"This kind of algorithmic pre-screening partnership not only saves a lot of time, it also bumps up the overall accuracy of diagnosis to a stunning 99.5 per cent."

"You want as few false positives and false negatives as possible."

"The NHS holds the dubious title of the world’s biggest purchaser of fax machines."

"The greatest good? No one can reasonably be expected to keep the grand challenges of the future of human healthcare in the forefront of their minds when deciding whether to send off for a genetic test."

"An algorithm like this might also be wary of wasting resources or conscious of long waiting lists, and so not send you for further tests unless you had other symptoms of something more serious."

"The case of medicine is certainly less fraught with tension than the examples from criminal justice."

"It isn’t easy to find a path through the tangle of incentives, even when the clear prize of better healthcare for all is at the end."

"Our dream of a perfect autonomous vehicle dates all the way back to the sci-fi era of jet packs, rocket ships, tin-foil space suits and ray guns."

"Bayes’ theorem isn’t just an equation for the way humans already make decisions. It’s much more important than that."

"The worst case is a car that will need driver intervention once every 200,000 miles."

"Autonomous driving will have a few lessons to teach us that apply well beyond the world of motoring."

"With technology to do it all for us, there’s little opportunity to practise our skills."

"It is legitimate for people who see a police officer walking in front of their house every day to feel oppressed by that, even if no one’s doing any crimes."

"Just because the computer says something doesn’t make it so."

"But leaving that task in the hands of humans can be risky."

"Facial recognition algorithms can certainly do better at the task than humans."

"The chances of two people having exactly the same face were less than one in a trillion."

"Humans are astonishingly bad at recognizing strangers."

"Eyewitness misidentification plays a role in more than 70 per cent of wrongful convictions."

"Facial recognition, as a method of identification, is not like DNA."

"There's no strict definition of similarity, you can't measure how different two faces are."

"The accuracy rates of even the most sophisticated facial recognition algorithms leave a lot to be desired."

"No one can tell you how a movie is going to do in the marketplace."

"Art is the transmission of feeling the artist has experienced."
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