Name:
Tutor:
Course:
Date:
The Lights in the Tunnel
1. Moore’s Law claims that a computer’s computational ability will grow double in 2 years as technology advances. Hence, while assuming the consistency of this law over the next 20 or 30 years, it is agreeable that powerful computer technology will continue to grow at a much faster rate. This suggests that the capacity of Artificial Intelligence may grow exponentially leading to the automation of occupations for the average worker.
2. Ford considers it necessary to achieve strong AI since it is practically impossible for this technology to take over human jobs. This is because the human mind does not dwell on a brute force algorithm, but rather on a complex set of processes, that AI cannot match. Nonetheless, there are parts within human jobs that automation can assist and reduce the costs incurred from having actual employees.
3. Offshoring is a temporary problem. Accordingly, this type of occupation depends solely on technology. However, technology, which is responsible for the creation of these jobs, is also liable for their elimination. Hence, it is an apparent effect. Therefore, if manufacturing returns to the U.S., then the jobs in America will avert the disappearing process. This is due to a decreasing rate in automation.
4. The kind of jobs that would be the most difficult to automate comprise traditional ones. However, some of the jobs within this category are not safe forever due to the exponential rise in technology. Based on Moore’s Law, it is evident that the technology rate will grow double in the next two decades. Hence, at that time, technology will be sufficient to offer possible means of automation for these occupations.
5. The past is not a reliable predictor of the future because of technology’s impact on geometric advances. It is impossible for historical occurrences to illustrate the future based on the dynamic nature of technology. In relation to the Luddite Fallacy, the ideology may not be fallacious as purported since the application of geometrically advanced computer technology may actually lead to the automation of humanistic jobs.