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Qaagi - Book of Why

Causes

Effects

Best practices ... that can helpto preventmachine - learning bias

The prejudices of humanscan all too easily leadto biased machine learning outcomes

The absence or inclusion of indicators , and the inherent cognitive biases of the human computer programmercan causemachine learning bias [ 3

training datato createbiased machine learning

that training on the re - weighted dataset corresponds to training on the unobserved but unbiased labelsthus leadingto an unbiased machine learning classifier

Imbalanced data ( having high frequency of one class over the comparison class in datacan resultin bias in machine learning analysis

3.1.5leadsto the following bias in machine learning

the liability of ai systems ... warnedto preventbias in machine learning

the minimization of human cognitive bias in and reasoningcan causemachine learning bias

that enables discovery of user subgroupsto discoverbias in machine learning models

fairness measuresdesignedto quantify machine learning bias

insufficient dataleadingto bias in machine learning

source dats(passive) caused bymachine learning bias

one way ... bias in human datacan ... createbias in machine - learning systems

already being usedto preventmachine learning bias

the first stepsto preventbias in machine learning

Corpus redundancy manager 1.0 Redundancy due to cut - paste operations in textcreatesbias in machine learning for NLP

focusing on legal and ethical aspects and measuresto preventbias in machine learning

effortsto preventmachine learning bias

an issue that is incredibly important to me and one that I believe everyone in the technology industry should be prioritizingis preventingmachine learning bias

Group develops toolto preventmachine - learning bias

Awareness and good governance can helppreventmachine learning bias

Another expert also questionedwill preventbias in machine learning

the PULSE paper / demo(passive) sparked byinductive bias in machine learning

a lot of problemshas causeda lot of problems

poor decisionscausingpoor decisions

to biased systemscan leadto biased systems

to discrimination in areas such as criminal sentencing , predictive policing , and hiring decisionshas ledto discrimination in areas such as criminal sentencing , predictive policing , and hiring decisions

how models performcan influencehow models perform

For each groupsettingFor each group

to bias systemscan leadto bias systems

the end resultscan influencethe end results

to “ harmful outcomesleadingto “ harmful outcomes

and/or train the machine learning systemsdesignand/or train the machine learning systems

and significantly far morecan createand significantly far more

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