Rise of Machines is Not Likely in Future (Essay Sample)

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RISE OF MACHINES NOT LIKELY IN FUTURE
The article “Rise of the machines is not a likely future “ by Michel Littman is trying to inform people that technology will not overcome man or take over a man soon. There have been worries within the technology arena in recent years where rapid development in robotics, Artificial Intelligence, and deep learning occurred(Littman, Gerald & Cathy 258). Michael Littman goes against the narrative of leaders like Elon Musk and Bill Gates. In over one instance, they have all said that despite the benefits that technology has given to the people, especially Artificial Intelligence, it may have very adverse effects in the future. And worse, even wipe out the whole of humanity.
The computer science professor argues that there is no permanent risk to using Artificial Intelligence soon. He says machines could be intelligent, but he does not believe it is inevitable. On the ability of devices to achieve human intelligence, the professor appears to be very skeptical by saying we still have a long way to go to achieve that(Agamloh, Jouanne & Yokochi 20). He does not imply that it may take us more time, but means that the technical capability needed to achieve human-like intelligence is very far from being realized, from which we can also deduce that it may take more time to accomplish that. The time needed to achieve that cannot be approximated. It is purely depended on the advancement of Artificial Intelligence technical know-how, which he is also not sure of its realization.
Some technology researchers have argued that allowing Artificial Intelligence to thrive with inadequate supervision could threaten human beings. They give a logic to verify this claim. They argued that the high levels of human intelligence depend not only on reason but also on emotion and instinct. In this analogy, it is found out that the human emotions aspect of intelligence is flawed(Hoda, Salleh & Grundy 60). The culminated effect means that human beings are imperfect, and therefore they are also likely to create a flawed Artificial Intelligence technology which will then pose a threat to themselves. Those who oppose this, however, argue that people who will develop Artificial Intelligence will already know the flaws in human beings and will avoid including them in the systems created hence the development of perfect technology.
Professor Michel Littman bypasses all these arguments by saying that we even lack the conceptual framework enough to arrive at human intelligence in the first place. He says that deep learning is a superficial technology, according to his experience with it than he had expected it to be. He says that the technology depends on many other parameters to perform well, unlike human beings whose performance is independent primarily unless in exceptional circumstances. Michel says that the absence of these supporting parameters will mean that this technology will not perform well(Anderson, Rainie & Luchsinger 12). He argues that there is no need to reduce the advancement of these technologies