“…First, we aim to identify a gap in the literature of AI and ethics through conducting a comprehensive review by way of exploring and mapping the data that are available on the entire Web of Science (WoS) dataset of AI and ethics literature. Given that existing studies on AI and ethics are not constrained within specific research disciplines (Hildt, 2019; Martin et al, 2019; Saithibvongsa & Yu, 2018; Xu, 2022), it is important for a review to be cross‐disciplined in order to have a systems perspective of the scholarship (Galvin et al, 2021; Klarin et al,, 2021) surrounding AI and ethics. Second, this study aims to highlight the integral relationship of professionalism and ethics.…”
Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three‐step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework that offers professionalism as a solution in ensuring ethical AI. The framework stipulates fairness, nonmaleficence, responsibility, freedom, and trust as values necessary for developers and operators, as well as transparency, privacy, fairness, trust, solidarity, and sustainability as organizational values to ensure sustainability in ethical development and operation of AI.
“…First, we aim to identify a gap in the literature of AI and ethics through conducting a comprehensive review by way of exploring and mapping the data that are available on the entire Web of Science (WoS) dataset of AI and ethics literature. Given that existing studies on AI and ethics are not constrained within specific research disciplines (Hildt, 2019; Martin et al, 2019; Saithibvongsa & Yu, 2018; Xu, 2022), it is important for a review to be cross‐disciplined in order to have a systems perspective of the scholarship (Galvin et al, 2021; Klarin et al,, 2021) surrounding AI and ethics. Second, this study aims to highlight the integral relationship of professionalism and ethics.…”
Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three‐step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework that offers professionalism as a solution in ensuring ethical AI. The framework stipulates fairness, nonmaleficence, responsibility, freedom, and trust as values necessary for developers and operators, as well as transparency, privacy, fairness, trust, solidarity, and sustainability as organizational values to ensure sustainability in ethical development and operation of AI.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.