Open AccessTOWARDS OPERATIONALIZING WHITE MALE ACCOUNTABILITY IN ARTIFICIAL INTELLIGENCE DEVELOPMENT INTERROGATING IMPACTS OF AND SOLUTIONS TO OVERREPRESENTATION UTILIZING RELATIONAL ETHICS FRAMEWORKS
Author(s) -
Dylan Thomas Doyle
Publication year - 2021
Publication title -
selected papers of internet research
Language(s) - English
Resource type - Journals
ISSN - 2162-3317
DOI - 10.5210/spir.v2021i0.11902
Subject(s) - operationalization , accountability , foundation (evidence) , engineering ethics , white paper , sociology , ethical issues , knowledge management , political science , computer science , epistemology , engineering , law , philosophy
Numerical metrics demonstrate that white men are demographicallyoverrepresented in Artificial Intelligence (AI) technology development, research, and mediacoverage. This overrepresentation creates immediate and downstream harms that corporationsand technologists in industry and the academy alike must contend with to ensure the creationof AI technologies, AI development organizations, and AI research institutions that areethical, fair, accountable, transparent, and beneficial to all people. After defining theproblem of overrepresentation and exploring why this problem is vital to address, this paperwill posit a two-pronged theoretical solution to be implemented: (1) increasing white maleaccountability in AI technology spaces and (2) moving away from an underlying utilitarian ordeontological ethical foundation and towards a relational ethical foundation. Using thattheoretical analysis the paper will then present a model for taking this two-prongedtheoretical solution from theory into practice by providing specific recommendations foroperationalizing the proposed framework at the levels of AI technologydevelopment.