There Is A Blind Spot In AI Research By Kate Crawford And Ryan Calo

1718 Words 7 Pages
Crawford, Kate, and Ryan Calo. “There Is a Blind Spot in AI Research.” Nature, vol. 538, no. 7625, 2016, p. 311.
In the article There Is a Blind Spot in AI Research, Kate Crawford and Ryan Calo explain how Artificial Intelligence (AI) has already made in impact on our society. They urge readers to focus on how AI has impacted “social, cultural, and political settings.” While some of them effects are good, others are bad. It is easier now for doctors to diagnose illnesses, but doctors do not always use this information the right way; they may send home a patient earlier because they have a less severe illness than other patients. Also, “heat maps” generated by algorithms in Chicago and elsewhere do point out areas that have more crime, but
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Most people seem to think that only Artificial Intelligence (AI) created with consciousness would be a threat to humans. The flaw with this argument is first that AI could show all of the outward behaviors of a conscious being, but be no more than a preprogrammed entity with a certain purpose in mind. The way AI is programmed to think and act is much more important than whether or not the machine is conscious. A conscious being could even have more love towards life an an unconscious one. Lastly, consciousness is not the only way a life form can be a threat. Again, if AI is programmed wrong, then it can behave much like a virus, disease, or other parasite. Davies says that the first AI created should be friendly, but I think while this is important, the biggest thing that creators need to look at is whether or not the creations will cause more good or more harm …show more content…
Stuart Russel acknowledges the danger of lethal autonomous weapon systems (LAWS) since they can kill people without human intervention. Furthermore, a vague programming of the LAWS could end up getting an innocent civilian killed because he or she “looked like a threat”. Meanwhile, Sabine Hauret wants to use AI to improve health care, assist the elderly, and make jobs better. Do to barriers such as not being tech savvy enough or not having a large enough social media following, research projects may not be fully successful. Russ Altman also wants to change health care for the better, but he says that these technologies must be equally distributed in order to prevent further health care disparities. Finally, Manuela Veloso wants to create robots that can perceive the outside world each in their own unique ways and then make an understandable action. Veloso points out the imperfection of the AI programming that Hollywood films try to overlook in their biased depiction of the future of AI. It is quite possible we still got a long way to go be AI is perfected, but Veloso feels that robots will not replace us. Rather, they will complement

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