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Knowledge Representation for Algorithmic Auditing to Detangle Systemic Bias
[article]
2021
figshare.com
Knowledge is central to cognition, and adequate knowledge representation is necessary to ensure the correct functioning of Intelligent systems leveraging knowledge. Knowledge Auditing methodologies in use, however do not typically address the requirements for evaluating the consistency of logical and functional knowledge representation constructs, as used in AI, that support the correct execution of system processes. This paper puts forward the notion that algorithmic bias results from thelack
doi:10.6084/m9.figshare.14221778.v1
fatcat:ofuzmdwrbfdsdmumhbdtekvpim