Artificial intelligence (AI) is the concept and design of computer programs that can perform duties that initially needed human intelligence, such as critical decision-making, medical diagnosis, virtual assistance, fraud detection, and facial recognition. To most people, AI is an incomprehensible and uninterpretable innovation that collects or gathers billions of inputs and provides a response that individuals need to accept and implement in various areas of their lives. The perversity of the technology is felt in almost all areas of society, including the construction sector, e-commerce realm, and automotive industry. Companies like Tesla have developed self-driving cars that use AI to sense obstacles, make quick decisions, plan routes, and communicate with individuals through natural language processing (NLP).

In the States of Fragility Report of 2022, the Organization for Economic Co-operation and Development (OECD) seeks to incorporate the sixth component of fragility into its multidimensional fragility structure – the human dimension – to assess factors influencing the achievement of people’s potential and well-being. For the OECD, fragility is a fusion of exposure to risks and inadequate coping strategies of the government, communities, and systems to handle, mitigate, or absorb those threats (Understanding Fragility, 2022). Fragility can cause negative implications, encompassing inequality, poverty, violence, political and environmental degradation, and displacement. The human dimension addresses risks and coping mechanisms affecting people’s well-being and capacity to lead long, healthy, and prosperous lives.

FHIR (Fast Healthcare Interoperability Resources) provides a set of guidelines for the security and structure of data exchanges between healthcare providers and systems. It would do any worker in the healthcare industry well to have a comprehensive understanding of the relevance of interoperability. "Interoperability" refers to the capacity of different information systems and software programmes to collaborate and share data with one another. Interoperability has been difficult to achieve in the healthcare industry due to the large number of complex systems that are being developed, utilised, and networked together.

Envisaging and averting epidemics is paramount, given the intensifying health threats worldwide. Outbreaks of various illnesses remain one of the primary concerns regarding public health. Even with the existing modern technologies and innovative approaches, the world still has to deal with high rates of epidemics. For instance, during the COVID-19 outbreak, every nation felt the adverse impact. The coronavirus outbreak struck when the world was unprepared to stop its widespread. In this regard, it had an unforgettable impact as many people lost their lives, and the global economy remained crippled. The existing mechanisms aimed at identifying such threats proved ineffective as there was a delay in sharing accurate information to curb the virus before it spread to almost every part of the world.

The evolution of artificial intelligence (AI) has prompted genuine societal, legal, and ethical concerns over its mainstream deployment and adoption. Among the possible angles of contention, AI’s fairness and representation are conspicuous in many discourses. As technology permeates various sectors, ensuring that it is understandable and transparent is a technical challenge and a moral imperative. The development and use of AI can cause unintentional harm through a flawed data modeling algorithmic structure. Several case scenarios illustrate the value of inclusivity in technology development teams. The research shows that training and educating employees on the ethical necessity of fair models is also essential in building useful models. 

Data deserts are among the most impactful issues affecting modern healthcare, which is overly reliant on data and artificial intelligence (AI). Data deserts and the underlying disparities are observable in electronic health records (EHRs), patient-generated health data (PGHD), prescription drug monitoring, public health, and health research. This report examines these data deserts and the underlying implications on affected communities to frame potential solutions. The compiled information suggests that information technology (IT) can be leveraged to solve the data divide.