The Potential of Artificial Intelligence

Artificial intelligence (AI) is one of the technological fields that is growing at a fast rate with the aim of making complex machines that mimic human intelligence. As a result, a lot of effort has been directed toward developing AI technology to realize the goal of machines that can hear, see, and speak like human beings. This aggressive development has resulted in autonomous vehicles and natural language processors, among others. These advanced capabilities have become an issue of great concern regarding the consequences of AI development on society as a whole. Therefore, this paper seeks to determine the potential of Artificial Intelligence in healthcare, realizing societal development and reshaping the labor market in the context of society as a whole.

Over the years, various aspects of technology, such as computing power and the accumulation of healthcare data, have advanced significantly, which has provided a foundation for the adoption of AI in healthcare (Ahuja, 2019). The application has resulted in insights that, when implemented, result in more accurate diagnoses, which improved patient care and better administration of preventative care. Various core healthcare departments apply AI to increase efficiency and they include diagnostic radiology, pathology, and cardiology, among others. In Diagnostic radiology, radiologists leverage AI to perform tasks such as historical image comparison and automated image segmentation, among others. This boosts efficiency, which translates to better care delivery and improved patient outcomes (Ahuja, 2019). Secondly, pathologists leverage AI capability to process large data sets that offer insights that enable them to remain updated on emerging biomarkers, ultimately improving diagnostic accuracy (Ahuja, 2019). Lastly, the cardiology departments also leverage AI to analyze patient data and forecast potential outcomes that are key to administering preventative care and ensuring closer and more accurate monitoring of cardiology patients (Ahuja, 2019). Overall, AI holds a lot of potential for the medical field by supporting healthcare practitioners, which ultimately leads to better patient care without replacing the critical and necessary human touch in healthcare.

The success of AI applications in various fields has triggered efforts to target AI applications for social good. Several projects have been implemented to showcase the potential of AI in driving positive social impact. An example of such a project is the Amnesty International and ElementAI. This project leveraged AI to assist the human moderators in tracking and quantifying the online abuse women were facing on Twitter (Tomašev et al, 2020). This helped uncover significant abuse patterns, strengthening the proposal for AI use as a tool that augments human moderators' efforts to curb online abuse. This illustrates AI's potential to further efforts to realize sustainable development goals. However, Van Wynsberghe (2021) calls for the sustainability of AI in terms of the technology's environmental impact. In this case, training AI models is linked to a significant carbon footprint whereby training a single deep learning model can produce carbon dioxide equivalent to five cars over its lifetime. As such, the development of AI must be sustainable to ensure its contribution to achieving sustainability is worthwhile.

Lastly, AI is advancing at a fast rate, which poses a significant implication for the labor market and society at large. Despite the technology's ability to support the productivity of the workers, there are significant concerns regarding its impact on job displacement and transformation of various occupations (Frank et al, 2019). In this case, AI can augment certain workers while replacing the tasks performed by others. Additionally, the transformation is expected to cut across all occupations at varying degrees. The impact of AI is also complicated because, unlike previous technological advancements, its application cuts across many industries, including most education and well-paid sectors, such as finance and medicine, among others (Frank et al, 2019). As such, while AI disruption in some sectors is currently underway, its diversity poses a challenge in predicting how it will impact the different types of labor. Overall, AI may result in significant job losses in some sectors; however, it is also bound to create efficiency and new employment opportunities in others.

To sum up, the rapid development of Artificial intelligence (AI) technology has raised critical questions regarding its potential impact on society. The application of AI can be traced to various sectors, such as healthcare. Different departments are leveraging AI capabilities to boost efficiency and facilitate better patient care. Secondly, drivers of sustainable development are leveraging AI to through various projects to understand how it can be utilized to solve various social issues. However, AI's environmental impact needs to be carefully reviewed to ensure it is worthwhile. Lastly, AI has a significant impact on the labor market, which may lead to significant job losses in some sectors and the creation of new employment opportunities in others. As such, AI presents significant challenges and opportunities that can be harnessed to advance society.