This article reports the findings of a survey examining whether gender differences influence the degree to which individuals recognize unethical conduct in the use and development of information technology. The results show that, on the average, there is a significant gender gap in the recognition of unethical behavior in information systems. Although, women are better able to recognize unethical actions described in information systems scenarios than men, the existence of statistically significant differences varies depending upon the nature of the ethical (...) dilemma. The findings of this study provide both managers and researchers valuable understanding regarding the differences (and similarities) in the reactions of individuals of both genders to unethical situations in information systems. (shrink)

Expert systems are knowledge-based information systems which are expected to have human attributes in order to replicate human capacity in ethical decision making. An expert system functions by virtue of its information, its inferential rules, and its decision criteria, each of which may be problematic. This paper addresses three basic reasons for ethical concern when using the currently available expert systems in a decisions-making capacity. These reasons are (1) expert systems' lack of human intelligence, (2) expert systems' lack of emotions (...) and values, and (3) expert systems' possible incorporation of intentional or accidental bias. For these reasons artificial ethics seems to be science fiction. Consequently, expert systems should be used only in an advising capacity and managers should not absolve themselves from legal and ethical responsibility when using expert systems in decision making. (shrink)