With the changing technological landscape, developing an intelligent machine is becoming a reality more than ever. As a result, people are getting to terms with the potential effect such devices would bring to modern society. Although there are people against the idea of such a creation, the benefit they would get is a fair reason why we should develop such machines. As a result, this paper will support that we should create a device that thinks the way people do.
Firstly, creating an intelligent machine is likely to make life more accessible than ever before. For instance, such devices would help people to do daily activities that would otherwise be tedious. In this regard, firms will likely implement these machines to protect people from danger and risky tasks (Walsh et al., 2017). Moreover, having an intelligent device can be used to provide security and detect problems in homesteads. Therefore, it is essential to develop these machines to make life simple and convenient.
Besides, creating this type of machine will revolutionize the medical sector hugely. Remarkably, this would be essential in dangerous practices requiring the highest accuracy, such as surgery. Additionally, such devices would increase the chances of survival in medicine. Accordingly, this would be possible because they can accurately diagnose patients and provide the best solution and medication for an individual (Walsh et al., 2017). Hence, it is evident that creating these machines would improve society's overall quality of life.
Despite these machines' overall benefits to society, they are likely to increase the unemployment rate (Grote & Berens, 2020). Companies will likely reduce the number of people working in their firms to cut costs. As a result, many people will probably lose their jobs in different angles of the economy (Grote & Berens, 2020). Thus, creating these machines and integrating them alongside humans is essential to accrue the most benefits from them.
Conclusively, there is a high demand for creating intelligent machines more than ever. Although these machines have potential setbacks, it is essential to develop a way of integrating them alongside humans. Hence, we should create such devices while preparing for the consequences.
References
Grote, T., & Berens, P. (2020). On the ethics of algorithmic decision-making in healthcare. Journal of medical ethics, 46(3), 205-211. http://dx.doi.org/10.1136/medethics-2019-105586
Walsh, C. G., Ribeiro, J. D., & Franklin, J. C. (2017). Predicting risk of suicide attempts over time through machine learning. Clinical Psychological Science, 5(3), 457-469.https://doi.org/10.1177/216770261769156
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