Beneficial and Threatening Aspects of Computing As It Progresses Into the Future
Automation that has been created and advanced by computing improvements has presented many opportunities for discovery. The human performance is associated with gradual growth while that of computers is growing rather rapidly. Computers are now being utilized in solving issues that would take more human effort and time to resolve. The advancement has presented undeniable benefits such as its utilization in the medical and learning field. It is through the development that humans have acquired more life’s superiority and stability given that they contribute to economic development while making diagnostics. It is apparent that computers have not achieved this growth on their own given that they are collaborating with humans but they are bound to outweigh human abilities in the future.
Given that computers capability is rapidly increasing it is clear that in the future the servicing industries will rely on them more as compared to human labor which will result in the loss of jobs. In that computers today can speak, hear, write as well as integrate knowledge which means that will the progress will reply the human efforts. Computers will and are already affecting interactions personally as well as professionally. In that most professions depends on the capabilities of computers in solving issues as well as creating ease. The general contribution of these computers is essential given that it has resulted in increased efficiency, speed, and quality. However, the fact that their abilities might outweigh those of humans is worrying on the ground that humans will no longer be required in accomplishing effort something that might affect individuals socio-economically. The advancing progress is essential but there must be a balance amid the two in order to save humans from destruction.
Reference
Howard, J. (2014). How Advanced Machine Learning Can Improve Our Lives. Retrieved from https://www.ted.com/talks/jeremy_howard_the_wonderful_and_terrifying_implications_of_computers_that_can_learn#t-1173393