Thriving In The Robot Workplace Summary

In the article “Thriving in the Robot Workplace”, the issue that is brought up by the author, Alexandra Levit is people fear that their job might soon be taken over by the robots. Even worse, the robots might do something more than what the humans are capable of that the humans will not have any profession that they can be good at and in addition, the robots could hurt humans. The author argues that he supports the idea of the interaction between humans and robots at workplace or even in the humans’ daily activities. The overall article reflects bias language portrays the tone of the author of optimistic and encouraging which to convince workers such as doctors, manufacturers, teachers and other professions that there are also benefits from
Through text analysis or facial expression recognition, a program on her laptop could identify the high level of emotion, understand what is about to happen, and warn her to take a breather before she sends something she will regret. The example shows how emotional computing and software programs are aware of our moods and intentions and are able to respond accordingly. The author also mentions an expert to support his argument which is Richard Yonck, executive director and analyst for Intelligent Future Consulting and author of the forthcoming book “Heart of the Machine: Our Future in a World of Artificial Emotional Intelligence. The supporting detail is relevant to the argument as it portrays the benefit of the robots, thus supporting her
The author mentions an expert, Mr. Yonck, that says “Social robots will interact with people, not just replace them,” to support her argument.
The author generally appears to be deductive in his reasoning as he provides all the support. An example of deductive reasoning is based on VI which is started with the major premise that is artificial intelligence is making waves in education. Then the author states the minor premise which is researchers showed that software that tracks facial expressions can accurately assess the emotions of students hence the author conclude that with this emotion recognition software will increase the effectiveness of online tutoring sessions and can enhance educations.
In summary, the author has managed to support her argument as all the arguments do not appear to contradict to each other, thus strengthening the author’s stand on supporting the idea of interaction between robots and humans at workplace. She has managed to include many examples and research findings which give strong support to the arguments. She also managed to show some validity and credibility to her