Atomic Technological Developments on Labor and Security

Quantum Computings reign over Classical Computing

Luis Rosero

Writing for the Sciences 

Professor Janelle Poe 

4/20/2020

Technological Advancements are produced every single day, from the phones in your pocket to the most obscure of military technologies. These advancements provide support in many routine tasks and other complementary situations. As we approach new strides in quantum fields and atomic research, these machines and circuits become smaller and more efficient every year, aiding the same fields which created such products to develop more, and many others which use computing algorithms and/or sheer renditioning power. Inclusively, with the development of effective and malleable artificial intelligence, and automation, we can augment the productivity of some workers, though in many cases, replace the work done by others. All these being important discussion points and issues that must be conversed about more frequently during our rapidly expanding, technological society. More specifically, the following paper will discuss the application and implications of current competitive future technologies and its apparent rise over classical techniques. Quantum computers have officially surpassed modern technologies, tenfold, leading us into an upcoming state of technological awe, though surrounded by insecurity, threat. Variables such as the economic presence, reliability, apex expectancy, and current limitations will all be accounted for during the synthesization.

Research

Many, such as the giants, IBM, Microsoft, and Intel, have come out of a shell of intensive research, hardware engineering, and language development, releasing newer and better prototypes of user-friendly quantum processors to the public. Amazing technology indeed, as IBM would say, “We are breaking the boundaries of computing.” This is one hundred percent correct, though its application is where many people begin to worry such as Kevin Curran, a cybersecurity researcher at Ulster University. “Quantum computing will definitely be applied anywhere where we’re using machine learning, cloud computing, data analysis. Insecurity that [means] intrusion detection, looking for patterns in the data, and more sophisticated forms of parallel computing. But the computing power that gives cyber-defenders super-tools to detect attacks can be misused, as well.”

Quantum technology ties in directly with artificial intelligence, and automation. As computers can process more information, they can also produce larger neural networks to simulate behavioral dynamics or to actually produce a fully responding, self-improving, and interactive system of artificial brainpower. 

Artificial Intelligence on Labor 

A system of Artificial intelligence is based and programmed over a machine learning neural network. A Neural network can be represented as neurons in a brain, each point controls an action or response, and each action, or response, connects to another. Advanced computer algorithms will learn from repeated simulations and produce their own actions after calculating and premeditating actions to perform newer and more complex ones with each iteration. This can, and already has drastically evolved the American employment system. Professor Franka has studied the effects of classical technology,   “While technology generally increases productivity, AI may diminish some of today’s valuable employment opportunities” (Morgan R. Franka. 2019, February).  Dr. James E. Bessen seems to agree with these statements, considering himself a pessimist, delving on the idea that technology improves to make human labor more efficient, but large improvements may yield deleterious effects for employment. Though this obsoletion through labor substitution leads many, to worry about “technological unemployment and motivates efforts to forecast AI’s impact on jobs”
(Dr. James E. Bessen, 2019). 

On the other hand, optimists suggest that developing technology may alter many manners of labor, though gains in efficiency and speed far outweigh the costs of  the “transaction.”

 “In many cases, technology increases employment for workers who are not in direct competition with it (19, 35) [although recent follow-up work suggests these are temporary gains (28)]. Furthermore, the skill requirements of each job title are not static and actually evolve over time to reflect evolving labor needs” (Castelluccio, M. (2014, March). 

Unfortunately, currently, the range of information accumulated inhibits scientists from measuring the specific effects of AI and automation on the future of work. These barriers include the lack of high-quality data about the nature of work, for example, the physical requirements of occupations, “the lack of empirically informed models of key micro-level processes (David Autor, 2019),” an incomplete understanding of how self-improving technologies interact with large scale economic functions, “and institutional mechanisms,” such as urban migration and international trade policy. 

Retrospective

Even so, with such limitations, the clear and precedented rise of developing technologies is apparent. Though no strong arguments can be made on exactly how future developments of automatization and research will be conducted, it will most certainly be dominated by computer-assisted algorithms and hardware. From labor, national security, to global economies, Quantum will and already have overtaken the frontline of research and development. As with all technologies, the benefits must always be greater than the loss. Though as these developments increase inefficiency, the benefits and losses become more difficult to calculate, they begin to go either way; against, or for the average citizen. 

However, it should be noted that legal action is already taking place for worker-protection laws, against the use of artificial intellect or automation.

Christensson, P. (2013, April 20). Bit Definition. Retrieved 2020, Apr 19, Retrieved from 

Quantum spies. New Scientist, 02624079, 1/11/2014, Vol. 221, Issue 2951. Retrieved from

Morgan R. Franka, David Autor, James E. Bessence, and Colleagues. (2019, February) 

Toward Understanding the Impact of Artificial Intelligence on Labor

Castelluccio, M. (2014, March). Quantum Computers. Strategic Finance, 19(3), 50+. Retrieved from https://link-gale-com.ccny-proxy1.libr.ccny.cuny.edu/apps/doc/A365071761/AONE?u=cuny_ccny&sid=AONE&xid=ea895775