Disadvantages Of AI In Politics

Human society is under rapid change. From the beginning of the 18th century, Britain experienced the First Industrial Revolution with the transformation from an economy based on farming to one based primarily on manufacturing. The entire economic and political lives of the nation were dramatically transformed. As people began taking advantage of the changes brought by it, the Second Industrial Revolution came along in the beginning of the 20th century. As the economic boost created by the Industrial revolution gradually settled, people started to worry about the aftermath of this extraordinary event; the middle and upper-class citizens of the United States saw a need of immediate reform with the hope of getting rid of monopolies and political

If the false intervention of AI is not controlled or regulated, it seems that elections are heading from candidate-centered to technology-centered; whoever had the better supporting AI and engineering will be more likely to win the election. The potential harm of AI on democracy and the intended process of political elections cannot be underestimated. While the downsides of AI in politics concern many people, there are actually ways to applying AI to the current political system so as to gain benefits from it. For instance, as Polonski himself, who is suspicious of the current political application of AI, suggests, AI can be used to fix known misinformation shared by people and help representatives better hear the voice and need of his constituents; furthermore, instead of making biased campaign advertisement, AI can help the people understand the true position of different candidates and help them be more informed before making an responsible decision. Jerry Kaplan, the author of Artificial Intelligence also found that if used correctly, AI can benefit democracy. As he noted in his book, a study in 2009 show that one legal aid attorney was available for 6,415 people, but because of the high cost of legal process he was actually available for only 429 people; furthermore, other studies have concluded that “30 percent of low-income Americans have little or no access to legal assistance” (Kaplan 90). This shortage of legal assistance provides an opportunity for AI to step in and dramatically increase the efficiency by using precedents to make lawful judgements in many cases. Just like the shortage of legal assistance, many areas of the society have made the implementation of AI all the more tempting. As