Artificial Intelligence (AI) ethics research is a multifaceted field, requiring different theoretical justifications in which researchers can ground their underlying perspectives on ethics. We provide an overview of the major norma- tive ethical theories used in Information Systems research on AI ethics. Through a systematic scoping review, we assess the prevailing theories, their progress, and areas needing further study. Our findings reveal a dominance of deontological ethics, which results in determining ethics mainly from the AI’s perspective by discussing ethical design principles but not from how a human user’s virtue ethics perspective guides humans’ moral behavior when collaborating with AI equally. We suggest that researchers recognize how normative ethical theories might bind their work, impacting their understanding of moral agency and responsibility and guiding Corporate Digital Responsibility practices for organizations striving for responsible AI design, deployment, and usage.

Within the offline context, research provides evidence that observing prosocial media content and active engagement in prosocial behavior benefit individuals’ well-being. However, it is unclear to what extent such effects hold also true in the context of social media. Building on the theoretical lens of elevation and based on a study with 299 participants, we use consistent partial least squares structural equation modeling to investigate to what extent the observation and engagement in prosocial behavior on social media impacts users' positive affect, subjective happiness, loneliness, and humanity-esteem. Our results show that the mere observation of prosocial content is insufficient to benefit well-being, and users need to engage in such actions to unfold the uplifting effect of prosociality within the digital sphere.