Weapons of Math Destruction - How Big Data Increases Inequality and Threatens Democracy-logo

Weapons of Math Destruction - How Big Data Increases Inequality and Threatens Democracy

Cathy O'Neil

Longlisted for the National Book Award New York Times Bestseller A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabric We live in the age of the algorithm. Increasingly, the decisions that affect our lives-where we go to school, whether we get a car loan, how much we pay for health insurance-are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a "toxic cocktail for democracy." Welcome to the dark side of Big Data. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change. - Longlist for National Book Award (Non-Fiction) - Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology) - Kirkus, Best Books of 2016 - New York Times, 100 Notable Books of 2016 (Non-Fiction) - The Guardian, Best Books of 2016 - WBUR's "On P

Longlisted for the National Book Award New York Times Bestseller A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabric We live in the age of the algorithm. Increasingly, the decisions that affect our lives-where we go to school, whether we get a car loan, how much we pay for health insurance-are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a "toxic cocktail for democracy." Welcome to the dark side of Big Data. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change. - Longlist for National Book Award (Non-Fiction) - Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology) - Kirkus, Best Books of 2016 - New York Times, 100 Notable Books of 2016 (Non-Fiction) - The Guardian, Best Books of 2016 - WBUR's "On P
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Longlisted for the National Book Award New York Times Bestseller A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabric We live in the age of the algorithm. Increasingly, the decisions that affect our lives-where we go to school, whether we get a car loan, how much we pay for health insurance-are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a "toxic cocktail for democracy." Welcome to the dark side of Big Data. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change. - Longlist for National Book Award (Non-Fiction) - Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology) - Kirkus, Best Books of 2016 - New York Times, 100 Notable Books of 2016 (Non-Fiction) - The Guardian, Best Books of 2016 - WBUR's "On P

Language:

English

Length:

6h 24m


Chapters

Chapter 1
Chapter 1

00:14


Chapter 2
Chapter 2

05:27


Chapter 3
Chapter 3

05:36


Chapter 4
Chapter 4

06:57


Chapter 5
Chapter 5

04:36


Chapter 6
Chapter 6

07:00


Chapter 7
Chapter 7

07:24


Chapter 8
Chapter 8

07:34


Chapter 9
Chapter 9

04:07


Chapter 10
Chapter 10

04:08


Chapter 11
Chapter 11

06:02


Chapter 12
Chapter 12

07:02


Chapter 13
Chapter 13

05:14


Chapter 14
Chapter 14

06:41


Chapter 15
Chapter 15

05:56


Chapter 16
Chapter 16

05:40


Chapter 17
Chapter 17

06:08


Chapter 18
Chapter 18

05:52


Chapter 19
Chapter 19

06:51


Chapter 20
Chapter 20

05:15


Chapter 21
Chapter 21

03:56


Chapter 22
Chapter 22

06:36


Chapter 23
Chapter 23

07:28


Chapter 24
Chapter 24

06:04


Chapter 25
Chapter 25

06:53


Chapter 26
Chapter 26

04:16


Chapter 27
Chapter 27

05:34


Chapter 28
Chapter 28

03:35


Chapter 29
Chapter 29

04:56


Chapter 30
Chapter 30

05:57


Chapter 31
Chapter 31

05:38


Chapter 32
Chapter 32

06:41


Chapter 33
Chapter 33

07:22


Chapter 34
Chapter 34

06:36


Chapter 35
Chapter 35

05:19


Chapter 36
Chapter 36

04:56


Chapter 37
Chapter 37

07:43


Chapter 38
Chapter 38

06:24


Chapter 39
Chapter 39

06:48


Chapter 40
Chapter 40

03:35


Chapter 41
Chapter 41

03:57


Chapter 42
Chapter 42

06:22


Chapter 43
Chapter 43

06:15


Chapter 44
Chapter 44

04:52


Chapter 45
Chapter 45

05:40


Chapter 46
Chapter 46

05:43


Chapter 47
Chapter 47

05:47


Chapter 48
Chapter 48

05:09


Chapter 49
Chapter 49

04:13


Chapter 50
Chapter 50

03:54


Chapter 51
Chapter 51

05:18


Chapter 52
Chapter 52

05:46


Chapter 53
Chapter 53

03:27


Chapter 54
Chapter 54

04:40


Chapter 55
Chapter 55

06:28


Chapter 56
Chapter 56

07:20


Chapter 57
Chapter 57

05:20


Chapter 58
Chapter 58

05:09


Chapter 59
Chapter 59

05:02


Chapter 60
Chapter 60

04:50


Chapter 61
Chapter 61

04:54


Chapter 62
Chapter 62

07:31


Chapter 63
Chapter 63

05:34


Chapter 64
Chapter 64

05:38


Chapter 65
Chapter 65

05:15


Chapter 66
Chapter 66

05:59


Chapter 67
Chapter 67

05:55


Chapter 68
Chapter 68

07:55


Chapter 69
Chapter 69

00:26