Date: Sunday, December 6, 2020
Course code: MASS2113/20
ID: 122004
TEDTalks 5 title: Machines replace humans
A study on the future of work in 2013 proved that one in every two jobs is at risk of being replaced by machines. Technology is responsible for this disorder because it is the most powerful branch of artificial intelligence.
Technology allows machines to learn from data and imitate some of the things that humans do. The field of machine learning started in the early 1990s. The tasks performed by some of the machines were simple: assessing the risk of allocation from loan applications, and sorting mail by reading handwritten zip codes. Over the past years, great progress has been made in this area, and Anthony Goldblum has mentioned to us what Kagel has done, which is working on the latest technologies of machine learning.
Anthony presented the results of the challenge that he did at Kagel in 2012.The challenge was to provide for an algorithm that could evaluate articles of high school students, and as a result of this challenge, one of the algorithms was able to match the scores that he set for human teachers last year. Then the company announced a more difficult challenge, which stipulates whether it is possible to take pictures of the eye and diagnose an eye disease such as Diabetic Retinopathy. Also, one of my co-workers from Kagel developed an algorithm that could match the diagnoses made by human ophthalmologists.
" Machines cannot compete with us when it comes to tackling novel situations" Antonio showed us that there are things we can do while machines cannot do them, meaning that these machines have not made much progress in the face of new situations. So that she cannot deal with things that she did not know many times before. It requires large amounts of past data to deal with any new situation.
Humans are not like this because they have the ability to connect separate things to solve problems they have never faced before, for example Anthony reminded the story of the physicist Percy Spencer, who was inventing radar during World War II and while working he noticed that the valve of the radar magnet melted his chocolate bar. Therefore, he linked his understanding of electromagnetic radiation with his knowledge of cooking, to invent the microwave oven. This is a clear example of the fact that machines cannot compete with us when it comes to the operator with new situations.
With regard to the tasks that need to be repeated in large sizes, these machines, with their increasing intelligence more and more, are able to carry out these tasks faster, such as evaluating articles and diagnosing some diseases. But there is still a need for some jobs that cannot be filled by machines, such as lawyers and accountants. We will need them to structure the complex tax and renew the lawsuit. Also, marketing needs to attract the attention of consumers and distinguish from others, such as exploiting the vulnerabilities of renewable events in the world. In the end, Anthony said, these machines would reduce the prestige of some jobs and make some jobs more difficult to find.
URL:
https://www.ted.com/talks/anthony_goldbloom_the_jobs_we_ll_lose_to_machines_and_the_ones_we_won_t/details?rss=172BB350-0073&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+ArabicPodcastBusiness+%28Arabic+Podcasts+%7C+Business%29#t-477











