A Brief History of Artificial Intelligence 

     The 1950s helped create awareness for artificial intelligence, a term first called by John McCarthy, that problems solved by human beings could be solved by computers. However, computation power has been powerful enough for those at the conference to determine normal procedures for the new subject. Around 20 years later in 1974, the advancement of computers increased. They were able to be cheaper, quicker, and could store more information than before. They grew to become capable of thinking, so there were early demonstrations that gave hope for the new subject of artificial intelligence. However, funding and techniques were still needed to create a wave for the subject. 

     Then, 1980 occurred where artificial intelligence was able to expand thanks to innumerable help. Thanks to new statistical tools and financial funding, the subject was able to pursue more research to develop new techniques that computers could learn. There were some research cases where a program could imitate a human being’s decision making process. The resources help spark new advancements for artificial intelligence and what the future meant for it. 

     Unfortunately, there had been slow movement for artificial intelligence after the years of funding until the 2000s. There were several ambitious goals by companies that saw potential in artificial intelligence, but no one was able to use the field in a beneficial manner. With the increase of disappointment in the field, artificial intelligence decreased public attention and funds from the government. Luckily, the field advanced despite its obstacles and shortcomings. What appeared to come out of nowhere, artificial intelligence continued to impress and shock the world. Artificial intelligence was capable of beating a world-class chess champion, recognizing speech, and detecting emotion. 

     So, for those who were not involved or paying attention to how artificial intelligence bursted straight to the public may not have known about how limitations of computer storage were holding the field back. Speed and memory were able to catch up with our demands and needs. As we expand our efforts with artificial intelligence, we wait for computational power and storage to continue to catch up with what the field needs and to create innovations plus breakthroughs, also known as Moore’s Law. Without a doubt, what seemed a slow process to an inevitable death to artificial intelligence, it sprung back to life. 

     Therefore, what does the future for artificial intelligence mean for the world? With the field everywhere and machine learning increasing by the day, our world is impacted by it. Financial, business, art, education, health, and other sectors are impacted by the big data that has arrived by our years of collecting. The field has paved the way for how we interact with our modern world. We see how robots talk to us on the phone, autonomous cars on the road, and personalization that is tailored specifically for us. Artificial intelligence, big data, and machine learning helps manufacturers automate processes and discover potential trends. It’s difficult to see how our society could have advanced without the help of artificial intelligence. The field simply needed time for other external factors to catch up with it needed to solve problems that are beyond our human skills. That is what artificial intelligence has done with our world. What would take hours, weeks, months, years, or even decades, has become a rapid process for machine learning.

     While these are extraordinary times for artificial intelligence to continue to innovate, there is worry about private policy. Like Google does, we understand how it and other businesses have targeted us through the use of advertisements. There could even be a super artificial intelligence that could overtake our world in ways unimaginable. There needs to be methods or policies that check our safety, such as how Apple has allowed us to prevent advertisement and location tracking from applications and websites. While tailored content for us is beneficial and convenient, preventing or reducing how data is used against us will help eliminate manipulation or create addictions (such as shopping, games, etc.).