In the recent past, there have been massive technological advancements. Artificial intelligence (AI), a human intelligence simulation into machines programmed to think and act like humans, is an improvement in question. Artificial intelligence machines are capable of rationalizing and taking actions that can assist in achieving a specific goal. For instance, AI programs can learn, make informed decisions, play games, and recognize faces and speech. Due to ever-advancing technology, IA-based programs will be handling more complex tasks in the future. This paper will review an article, “AI-augmented government: Using cognitive technologies to redesign public sector work,” by Eggers, Schatsky, and Viechnicki. It will focus on how Artificial Intelligence systems will change the federal government’s acquisition and fulfillment in the future.
The article suggests that AI will bring considerable changes in the public sector, leading to how government employees get their work done. AI-based applications will help in fully automating some jobs, dividing some tasks among individuals and machines, and leaving some work done by the workers, but machines enhance it. Therefore, the use of cognitive technologies will help the government to improve job quality, increased speed, and reduce cost (Eggers et al., 2017). The changes are likely to eliminate some jobs, creation of new professions, and redesigning others.
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Unquestionably, increased speed in workplaces due to Artificial Intelligence systems will be one of the primary benefits to the government. Apart from cutting on cost, the systems will help in reducing backlogs and assisting federal workers with mundane tasks (Eggers et al., 2017). AI application in government is estimated to free up to 30 percent of federal workers’ time. As a result, about 1.1 billion working hours will be saved annually, saving $37 billion annually (Eggers & Viechnicki, 2017). Also, employees’ productivity is likely to increase since they will be handling more jobs due to the saved time.
Additionally, the advancement of IA systems will help in overcoming resource constraints. Cognitive automation can lead to task performance at currently impractical volumes, speeds, and scales (Eggers et al., 2017). Subsequently, that will allow for workforce optimization, whereby resources will be allocated to the right tasks. As a result, the available resources will be well utilized, hence avoiding the constraints. The wastage of resources will be reduced as well.
Eggers et al. (2017) further argue that intelligence technologies can help the federal government with better predictive capabilities. Currently, the government faces challenges to accurately spot intricate patterns, including terrorist threat levels and insurance market movements. However, the use of anomaly detection systems that use neural networks, an example of a cognitive application, can give more accurate predictions. Such applications can understand the deep context and find pertinent data patterns. Besides, some applications can explain why a particular practice is relevant.
Although the article has discussed massive acquisition and fulfillment that the federal government is likely to enjoy in the future by using the AI applications, there will be a lack of creativity, which is critical in the workplace (G. Harkut & Kasat, 2019) . As such, the government can only rely on AI applications partially.
The article focuses on how the government can use cognitive technologies to redesign public sector work. Various benefits can be associated with AI systems applications, including enhance job quality, increased speed, and reduce cost. Also, Artificial intelligence systems are likely to save on cost, overcoming resource constraints, and make better predictive capabilities.
References
G. Harkut, D., & Kasat, K. (2019). Introductory chapter: Artificial intelligence - Challenges and applications. Artificial Intelligence - Scope and Limitations . https://doi.org/10.5772/intechopen.84624
Eggers, W. D., Viechnicki, p., & Schatsky, D. (2017, April 26). AI-augmented government. Deloitte Insights. https://www2.deloitte.com/us/en/insights/focus/cognitive-technologies/artificial-intelligence-government.html/
Eggers, W., & Viechnicki, P. (2017, June 2). What the future of artificial intelligence in government could look like. Nextgov.com. https://www.nextgov.com/ideas/2017/06/what-future-artificial-intelligence-government-could-look/138352/
