Score breakdown

Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing

paper-0128 · paper · 2020

Inioluwa Deborah Raji et al.

The reference framework for internal AI audit practice.

Academic, score -0.1996

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent161.00.000720.50.00036OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent8.00.50.050.025OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.0001

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent161.00.000720.20.000144OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent8.00.50.40.2OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.2748

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent161.00.000720.250.00018OpenAlexhighlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent8.00.50.10.05OpenAlexmediumlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

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