Numerical metrics demonstrate that white men are demographically
overrepresented in Artificial Intelligence (AI) technology development, research, and media
coverage. This overrepresentation creates immediate and downstream harms that corporations
and technologists in industry and the academy alike must contend with to ensure the creation
of AI technologies, AI development organizations, and AI research institutions that are
ethical, fair, accountable, transparent, and beneficial to all people. After defining the
problem of overrepresentation and exploring why this problem is vital to address, this paper
will posit a two-pronged theoretical solution to be implemented: (1) increasing white male
accountability in AI technology spaces and (2) moving away from an underlying utilitarian or
deontological ethical foundation and towards a relational ethical foundation. Using that
theoretical analysis the paper will then present a model for taking this two-pronged
theoretical solution from theory into practice by providing specific recommendations for
operationalizing the proposed framework at the levels of AI technology
development.