The ethical shortlisting problem

Hiring is a fundamental, frequent activity for all organizations. decisions have been reported to be subject conscious and unconscious biases in the literature. The field of Computational Ethics aims quantify maximize ethicality decisions. This paper attempts apply shortlisting process hiring through use Linear Programming. Given set applicants job with numerical qualification values, author determine weights each type compute scores resulting rankings applicant. To this end, Abstract Moral Theories Utilitarianism, Maximin/Leximin, Egalitarianism, Prioritarianism are utilized applied randomly generated applicant data. experiments demonstrate that models scalable return interpretable results. necessity quota-based system alleviate disadvantaged candidates highlighted. recommends Maximin model iteratively eliminating lowest score.