Already is quite widespread in the fields of finance

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already is quite widespread in the fields of finance, space exploration, manufacturing, and even healthcare. In the engineering arena, the world has seen a phenomenal adoption of AI unmanned vehicles and drones, tools that perform functions which initially required human input (Frey and Osborne, 2013). Automation also has impacted the ‘blue-collar’ jobs because computes have become increasingly sophisticated and versatile. This means AI places a significant sum of engineering professionals at risk of losing their jobs because the technologies have a potential to make their functions obsolete. On the other hand, scholars argue that AI works to catalyze economic growth. This simply means that even though jobs can be lost due to technological advances, new ones eventually will be created. The losses and gains eventually will even out because economic growth facilitated by AI will create a greater demand for labor all through the economy (Furman & Seamans, 2018). For example, the in the event household incomes rise, there will be a greater demand for engineering services especially those related to the development of infrastructure. More people will be able to afford vehicles meaning that the need to expand
9 the existing road networks will increase. In addition to this, more people will be able to afford new homes, a situation which enhances the need for new housing. Frey & Osborne (2013) opine that there is a very high chance that close to 47% of workers in the US will see the computers taking over their jobs in the next two decades. Based on their analysis, mathematical technicians, insurance hand writers, watch repairers, hand sewers and several other service-based professions will become obsolete in the next few decades (Frey and Osborne, 2013). On another side of the spectrum, mechanic supervisors and most medical and technical professionals are highlighted to have a minute chance of losing their jobs due to automation. Duckworth (2019) surveyed 156 industry and academic experts in the field of machine learning, AI, and robotics. He intended to determine the tasks these individuals felt could currently be automated. It eventually would be found that clerical, repetitive, perpetual, and precise jobs could easily be automated. Even so, the creative, dynamic, and human orientated tasks often will be difficult to automate (Duckworth, 2019). From these arguments, it is possible to state that even though the effects of AI will also be felt by the engineering professionals, the technologies are valuable in ensuring that their capacity to optimize the lives of people in the society is enhanced. AI and Security The second much contended issue related to the use of AI in the field of engineering and most other sectors pertains to their ability to provide security to the public and its information. Osoba & Welser (2017) opine that the maturation of AI has led policy makers to consider adopting them into our laws and policies. Even so, the pace and magnitude of technological shifts often have made it challenging for these regulations to keep up. Policy gaps create a new ethical obligation for engineering organizations seeking to develop or use

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