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
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