Wednesday, 29 March 2017

Are Humans Becoming Obsolete, Again?

Recently I came across a very interesting TedxSF talk by Jeremy Howard who is an Australian data scientist. This talk is from 2013 and may be dated but nonetheless I found it very interesting. In his talk, he discusses machine learning devices and when he does so he uses an example of playing checkers on a computer. Howard describes how remarkable these devices are through checkers: by programming broad parameters to what you are trying to accomplish (which in this case teaching a computer to play checkers) and then defining all possible approaches to playing checkers. Once this is done, Howard discusses how you can then get the computer to play itself thousands of times and each time it does it would be taking the better approach until it actually taught itself to play better than the programmer! If that was kind of confusing Howard puts it quite eloquently in the talk by saying “Machine learning is giving a computer a broad approach or parameters in which it can create a solution to a problem better than your own solution to that problem.” (Howard, 2013) Algorithms are getting better and better by comparing them to each other, getting a score on how well they do what they are intended to do. This process is continual and new algorithms are created to beat the one before it. Howard even says that there are now international rankings for data scientists.

            Howard then goes on to talk about algorithm competitions and how good algorithms have gotten. This is what the results of these competitions look like “There was recently a machine learning competition where a computer actually graded hand written student essays. 30,000 of them, more consistently with two teachers than the teachers did with each other. So, we are now at a point where computers can read better than teachers.” (Howard, 2013)  If a computer can grade more consistently than teachers can it makes me ask the question, what is the need for teachers? Are the services that we provide society becoming obsolete by new technologies? Howard relates what is happening now, to the labour jobs lost during the industrial revolution and how people then shifted to the service industry. Well now this technology is encroaching on the service industry. So, what is next? Do you think that society will allow new technological advances to disrupt in the service industry and if so, what will be the next industry that these lost jobs will shift to? Let me know what you think in the comments!

The sources used in this article and Jeremy Howard’s TedxSF Talk can be found at the following link:

Works Cited

Howard, J. (2013, November 17). Machine-Learning: Connecting Devices with Algorithms. Retrieved from Datafloq: https://datafloq.com/read/machine-learning-competitions-connecting-devices-a/327

1 comment:

  1. This is a really interesting topic! I was not aware that computers had the ability to read and grade hand written essays, which is quite shocking. While this ability might make it seem like teachers, and the services of humans in general, are becoming obsolete, I would like to remain optimistic in believing that humans still have the unique ability to be thoughtful and emotional. A computer might not pick up and register the same components of an essay that a human reader would. A teacher can most likely understand each individual student and their writing style and thought process more effectively than a computer would. I would hope that society will continue to value humans and their unique abilities as computers become more advanced.
    However, as for what's next, it unfortunately seems as though technology may in fact disrupt the service industry. For example, restaurants such as McDonalds have incorporated kiosks where the customer can order their own food, ultimately making the customer service employee's job obsolete. I think it's only a matter of time before we see technological advancements popping up in all aspects of society. The next industry could very well be all restaurant employees/waitresses/bartenders.
    Thanks for your interesting topic!

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