“There might never be that moment when everyone says, "Oh my God, big data is awful."” Quote by Cathy O'Neil
“By construction, the world of big data is siloed and segmented and segregated so that successful people, like myself - technologists, well-educated white people, for the most part - benefit from big data, and it's the people on the other side of the economic spectrum, especially people of color, who suffer from it. They suffer from it individually, at different times, at different moments. They never get a clear explanation of what actually happened to them because all these scores are secret and sometimes they don't even know they're being scored.” PeopleKnowsWorldWellsDifferentSometimesMomentsBigsSufferingSidesWhiteSecretSuccessfulClearHappenedEconomicColorBenefitsEducatedDataExplanationScoreConstructionSuccessful PeopleSpectrumDifferent TimesWell Educated Author:Cathy O'Neil
“When people are not given an option by some secret scoring system, it's very hard to complain, so they often don't even know that they've been victimized.” PeopleKnowsHardGivenSecretComplaining Author:Cathy O'Neil
“I've also seen that great men are often lonely. This is understandable, because they have built such high standards for themselves that they often feel alone. But that same loneliness is part of their ability to create.” MenFeelsAbilityLonelinessStandardsBuiltLonelyGreat MenBeing AloneBeing LonelyHigh StandardsLoneliness And SolitudeI Am LonelyLonely FeelingLonely And AloneAlone LonelyAlone LifeI Feel Lonely Author:Yousuf Karsh
“I don't think anybody's ever notified that they were sentenced to an extra two years because their recidivism score had been high, or notified that this beat cop happened to be in their neighborhood checking people's pockets for pot because of a predictive policing algorithm. That's just not how it works.” PeopleThinkingYearsTwoHappenedBeatsExtrasScorePocketsNeighborhoodTwo YearsPotCopAlgorithmsRecidivism Author:Cathy O'Neil
“Occupy provided me a lens through which to see systemic discrimination.” DiscriminationLenses Author:Cathy O'Neil
“The national conversation around white entitlement, around institutionalized racism, the Black Lives Matter movement, I think, came about in large part because of the widening and broadening of our understanding of inequality. That conversation was begun by Occupy.” ThinkingMatterUnderstandingBlackWhiteMovementConversationRacismInequalityBlack Lives MatterEntitlementBlack Lives Author:Cathy O'Neil
“Because of my experience in Occupy, instead of asking the question, "Who will benefit from this system I'm implementing with the data?" I started to ask the question, "What will happen to the most vulnerable?" Or "Who is going to lose under this system? How will this affect the worst-off person?" Which is a very different question from "How does this improve certain people's lives?"” PeoplePersonsDoeDifferentHappensCertainAsksLosesWorstBenefitsAskingVulnerableDataImplementing Author:Cathy O'Neil
“Obviously the more transparency we have as auditors, the more we can get, but the main goal is to understand important characteristics about a black box algorithm without necessarily having to understand every single granular detail of the algorithm.” ImportantGoalBlackDetailsBoxesCharacteristicsTransparencyAlgorithmsAuditorsBlack Boxes Author:Cathy O'Neil
“With recidivism algorithms, for example, I worry about racist outcomes. With personality tests [for hiring], I worry about filtering out people with mental health problems from jobs. And with a teacher value-added model algorithm [used in New York City to score teachers], I worry literally that it's not meaningful. That it's almost a random number generator.” PeopleProblemJobsUsedValuesNumbersCitiesWorryTeacherNew YorkExamplePersonalityModelsTestsMental HealthMeaningfulOutcomesScoreRacistNew York CityHiringAlgorithmsHealth ProblemsGeneratorRecidivism Author:Cathy O'Neil