Artificial wisdom, also known as artificial general intelligence (AGI), aims to design machines that can grasp and learn any intellectual phenomenon - like contemplation, learning and decision-making - as a person can. AGI is still in its early stages of development. Human cognition underpins AI, where people build learning models and datasets for AI training. However, it is crucial to have humans in charge and human supervision in decision-making while developing and using AI. This article examines artificial wisdom and discusses real-world AI applications that exhibit it. Self-driving vehicles, self-interfaces, medical diagnostics, game-playing AI, natural language processing, robotics, and generative AI are examples. AI may help with decision-making, problem-solving, language processing, and data production. They also emphasize the necessity of continual research and development to improve AI and ensure its ethical use. This article also discusses the triumphs and pitfalls of artificial wisdom research, admitting that AGI development is still controversial. It emphasizes human-centered AI development and application. As AI becomes more significant in our lives, it must be built and utilized in a way that respects human values, ethics, and decision-making. In conclusion, AI research into artificial wisdom has the potential to revolutionize different sectors and help mankind, but it also has ethical and societal repercussions that must be carefully considered.

Objective: We initiated a systematic review to determine the impact of the SARS-COV-2 virus and its long-term effects - in both symptomatic and asymptomatic cases - on people with or without psychosis. We envisioned that this would give us an insight into effective clinical intervention methods for patients with psychosis during and after the pandemic. Background: The outbreak of the COVID-19 pandemic, the constant transformation of the SARS-COV-2 virus form, exposure to substantial psychosocial stress, environmental change, and isolation have led to the inference that the overall population's mental health could be affected, resulting in an increase in cases of psychosis. Method: We selected fifteen papers that met our inclusion criteria, i.e., those that considered participants with or without psychiatric illness and exposed to SARS-COV-2 infection, for this review and were retrieved via Google, Google Scholar, MEDLINE, PubMed, and PsychINFO Database. Key Gap: There is a dearth of research in understanding how COVID-19 affects people with or without a prior personal history of psychosis. Results: The systematic review summary provides insight into the state of knowledge. Insights from the systematic review have also been reviewed from the salutogenesis model's perspective. There is moderate evidence of new-onset psychosis during the COVID-19 pandemic in which some antipsychotics treated the psychotic symptoms of patients while treating for COVID-19. Suggestions and recommendations are made for preventive and promotive public health strategies. Conclusion: The Salutogenesis model and Positive Psychology Interventions (PPI) provide another preventive and promotive public health management approach.