The generative adversarial network demonstrates how far humans have come in regards to technology over the last centuries. It is easy to assume that the images generated by the A.I. are completely on its own merits; however, humans are ultimately the brains of the operation. After all, facial-recognition algorithms had to be developed by people before the machinery could function.
Technology is only as good as the research and skill that goes into its development. This is highlighted in the article, in which the author describes some of the flaws in the A.I. system. For example, it has trouble registering accessories, such as jewelry and glasses. Additionally, the system exclusively generates faces that are completely symmetrical, which is not the case for real human faces. The author poses an interesting question: “Do we place too little value in human intelligence — or do we overrate it, assuming we are so smart that we can create things smarter still?”
Personally, I argue that we underestimate human intelligence in comparison to artificial intelligence. Technology depends on the input of human efficiency and their own intelligence. As self-sufficient as machines may seem, there is always room for error because they reflect human errors. Furthermore, people often fear the potential and dangers of A.I., when the real threat is the people themselves. Individuals could use the A.I. technology to create fake social media accounts and scam other users. We should be blaming the technology, however, we should blame the people capable of committing such acts of fraud.