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The primary objective of this study is to investigate the ethical implications of deploying AI-enabled chatbots in the healthcare sector. In addition, the research underscores trust and reliability as critical factors in addressing the ethical challenges associated with these chatbots.

This study takes a qualitative approach, conducting 13 semi-structured interviews with a diverse range of participants, including patients, healthcare professionals, academic researchers, ethicists, and legal experts. This broad spectrum of perspectives ensures a comprehensive understanding of the ethical implications of AI-enabled chatbots in healthcare. The rich exploratory data gathered from these interviews is then analysed using thematic analysis.

The findings of this study are highly significant in the context of AI-enabled healthcare chatbots. They highlight four major themes: developing trust, ensuring reliability, ethical considerations, and potential ethical implications. The interconnectedness of these themes forms a coherent narrative, highlighting the pivotal role of trust and reliability in mitigating ethical issues.

This study contributes to the existing literature on AI-enabled healthcare chatbots. It not only reveals potential ethical concerns associated with these technologies, such as data security, patient privacy, bias, and accountability, but it also places a significant emphasis on trust and reliability as critical elements that can boost user confidence and engagement in using AI-enabled chatbots for healthcare advice.

This study aims to investigate the relationship between workplace spirituality (WPS) and faculty critical thinking (CT) and the mediating effect of knowledge management (KM) among faculty at public universities.

The study employed a quantitative, cross-sectional research design to attain the objective. Using simple random sampling, the data were collected from 295 faculty members working in public universities in Sindh, Pakistan. The hypothesized relationships were tested using structural equation modeling (SEM) based on covariance and mediation analysis was conducted using Preacher and Haye’s (2008) approach.

Findings revealed a significant positive association between WPS, KM and faculty CT. In addition, the results indicated that KM played a partial mediating role in the relationship between WPS and CT.

Encouraging WPS can cultivate an environment of transparency, teamwork and knowledge exchange, promoting and enhancing faculty CT abilities.

Rare research exists regarding the connections between WPS, KM and CT in the Pakistani higher education system.