Vivimos en la edad del algoritmo. Las decisiones que afectan a nuestras vidas no están hechas por humanos, sino por modelos matemáticos. En teoría, esto debería conducir a una mayor equidad: todos son juzgados de acuerdo con las mismas reglas, sin sesgo. Pero en realidad, ocurre exactamente lo contrario. Los modelos que se utilizan en la actualidad son opacos, no regulados e incontestables, incluso cuando están equivocados. Esto deriva en un refuerzo de la discriminación: si un estudiante pobre no puede obtener un préstamo porque un modelo de préstamo lo considera demasiado arriesgado (en virtud de su código postal), quedará excluido del tipo de educación que podría sacarlo de la pobreza, produciéndose una espiral viciosa. Los modelos apuntalan a los afortunados y castigan a los oprimidos: bienvenido al lado oscuro del big data.
O’Neil expone los modelos que dan forma a nuestro futuro, como individuos y como sociedad. Estas …
Vivimos en la edad del algoritmo. Las decisiones que afectan a nuestras vidas no están hechas por humanos, sino por modelos matemáticos. En teoría, esto debería conducir a una mayor equidad: todos son juzgados de acuerdo con las mismas reglas, sin sesgo. Pero en realidad, ocurre exactamente lo contrario. Los modelos que se utilizan en la actualidad son opacos, no regulados e incontestables, incluso cuando están equivocados. Esto deriva en un refuerzo de la discriminación: si un estudiante pobre no puede obtener un préstamo porque un modelo de préstamo lo considera demasiado arriesgado (en virtud de su código postal), quedará excluido del tipo de educación que podría sacarlo de la pobreza, produciéndose una espiral viciosa. Los modelos apuntalan a los afortunados y castigan a los oprimidos: bienvenido al lado oscuro del big data.
O’Neil expone los modelos que dan forma a nuestro futuro, como individuos y como sociedad. Estas «armas de destrucción matemática» califican a maestros y estudiantes, ordenan currículos, conceden (o niegan) préstamos, evalúan a los trabajadores, se dirigen a los votantes, fijan la libertad condicional y monitorean nuestra salud.
This was an exceptional book. It's not heavy into statistics but gives the rationale for what is a WMD (Weapon of Math Destruction) and WMDs maybe a new term but we have been under the exploitation of WMDs well before we think. It's not a new phenomenon but it is one that we should be aware of.
Take a read and learn how about them so that we can all do better to combat them and use math to not only help describe the world but make it a better place to live in.
Review of 'Weapons of Math Destruction' on 'Goodreads'
5 stars
This, I think, is one of the most important books I've read this year. For, one cannot expect to grasp even the most sketchy outline of our socio-economic reality if one is not familiar with the now-prevailing currency, namely data.
Computer is good at doing things fast, really fast. So, when it errs, it errs like the flash, resulting a gigantic accumulation of errors. It shouldn't be surprising that big data (a match made between statistics and computer science) with its inbuilt measures of inaccuracies paired with shortcomings in creating mathematical model that sufficiently mirror the reality will create tools of horrible injustice.
However, it is not always easy to notice. Technical difficulties and self-fulfilling feedback loop can deceive us quickly.
However, the writer herself have has been deep in this systems and saw these things closely. With her deep knowledge and a very conscientious mind, she is well equipped …
This, I think, is one of the most important books I've read this year. For, one cannot expect to grasp even the most sketchy outline of our socio-economic reality if one is not familiar with the now-prevailing currency, namely data.
Computer is good at doing things fast, really fast. So, when it errs, it errs like the flash, resulting a gigantic accumulation of errors. It shouldn't be surprising that big data (a match made between statistics and computer science) with its inbuilt measures of inaccuracies paired with shortcomings in creating mathematical model that sufficiently mirror the reality will create tools of horrible injustice.
However, it is not always easy to notice. Technical difficulties and self-fulfilling feedback loop can deceive us quickly.
However, the writer herself have has been deep in this systems and saw these things closely. With her deep knowledge and a very conscientious mind, she is well equipped to discuss the matter in great depth and honesty.
Review of 'Weapons of math destruction' on 'Goodreads'
4 stars
A tour through the algorithms that change our lives
The book takes a look at the rise of computer-generated approaches to the flood of personal data being gathered on us daily and takes a hard look at the unintended consequences of relying on them uncritically. The approach is anecdotal rather than scholarly in order to reach a wide audience. The reader does not need to know data science to grasp the ideas presented. In a concluding section, there are some suggestions on how to lessen the ill effects we have seen, and in an afterword a brief discussion of political polling breakdowns in the 2016 election.
