Semantic Scholar Open Access 2016 932 sitasi

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

Shikha Verma

Abstrak

A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life and threaten to rip apart our social fabricWe live in the age of the algorithm. Increasingly, the decisions that affect our liveswhere we go to school, whether we get a car loan, how much we pay for health insuranceare 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 ONeil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when theyre wrong. Most troubling, they reinforce discrimination: If a poor student cant get a loan because a lending model deems him too risky (by virtue of his zip code), hes 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 persons life, ONeil 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 rsums, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. ONeil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, its 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.

Topik & Kata Kunci

Penulis (1)

S

Shikha Verma

Format Sitasi

Verma, S. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. https://doi.org/10.1177/0256090919853933

Akses Cepat

Lihat di Sumber doi.org/10.1177/0256090919853933
Informasi Jurnal
Tahun Terbit
2016
Bahasa
en
Total Sitasi
932×
Sumber Database
Semantic Scholar
DOI
10.1177/0256090919853933
Akses
Open Access ✓