An undercurrent of change is occurring in Qatar's approach towards mental healthcare. In the past 5 years, significant attention has been given to community care initiatives. There is much progress to be made, but the provision of psychiatric support outside of hospitals, the launch of several community services and the tackling of the associated social stigma represent a marked step away from the norm that has usually pervaded in the region. This article analyses these changes and identifies the challenges that remain.

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Background: The potential of Artificial intelligent (AI) models to process and interpret large health datasets at scale could revolutionize public health and epidemiology, providing a foundation for public health. Ethics has been recognized as a priority concern in the development and deployment of AI. Because AI technology can jeopardize patient safety, privacy, and posing a new set of ethical problems that must be addressed. Objectives: We aim to provide a holistic view on what are the different ethical and legal principles that was addressed in the included studies regarding the use of AI in public health and what are the ethical challenges that can arise.Methods: Following PRISMA guideline, five bibliographic databases were used in our search: PubMed, Scopus, JSTOR, IEEE Xplore, and Google Scholar from 2015 to February 2022. Four reviewers carried out study selection and data extraction, and the data extracted was synthesized by a narrative approach. Results: This review included 23 unique publications out of a total of 1123 items that were initially identified. Different ethical principles regarding the uses of AI in public health and community health were identified and discussed distinctly in the current review. The common ethical and legal themes that this review focused on are equity, bias, privacy and security, safety, transparency, confidentiality, accountability, social justice, and autonomy. In addition, five ethical challenges were mentioned. Conclusion: Research regarding ethical and legal principles and challenges about using AI in public health specifically consider a new filed, because all previous themes are concerning the physical and patients’ area where it focuses only on the clinical settings.

unable to look after themselves. As such, the two areas of law must come into conflict and one will wax and the other will wane as the ideas on which they are based come into, or fall out of, fashion. Overall, both of these volumes are of the same high quality as their predecessors in the Obligations series, and they certainly do not amount to the private law equivalent of Tusk. But neither, I think, does either of these books come close to reaching the heights of something like the White Album. Two weaknesses hold them back. First, many of the papers in these books are so much of their time that there is no chance that they will be read even 10 or 15 years from now. Private law scholarship generally is too concerned at the moment with reportage and analysis of what is being reported on and too little concerned with viewing private law sub specie aeternitatis; the volumes under review suffer from that same lack of balance. Secondly, there is a striking lack of reference to anything other than primary and secondary legal sources in most of the papers in this collection. Private law scholarship that hermetically seals itself offaided by common law ideologies that dismiss the relevance of a vast range of human learning and experience, telling private scholars, "Move along, nothing to see here"cannot sustain itself for very long.

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