The most illusive progession of our time, Artificial Intelligence, is loosely defined as machine learning from experience. AI revolves around software self-adjusting to new inputs to perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on digital actualization and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data, then fabricating these trends in application to other tasks.The History of AI may be short-lived but is far from vapid. The term artificial intelligence was coined in 1956. Early AI research in the 1950s explored topics like problem solving and symbolic methods. The US Department of Defense took interest in this type of work in the 1960’s and began training computers to mimic basic human reasoning. The Defense Advanced Research Projects Agency (DARPA) completed street mapping projects in the 1970s. And DARPA produced intelligent personal assistants in 2003, long before Siri, Alexa or Cortana were household names.
Due to the ever expanding applications of AI, it’ll not only change our workplace but will also change the way we live in our homes. According to Cisco, connected home applications such as home automation, home security and video surveillance, connected goods, and tracking applications, will be nearly half of total M2M connections by 2021In 2018 we have come to know “connected homes”, where gadgets like Amazon’s Echo and Google home connects different devices to each other through the Internet of things (IoT) by voice command. Although connected homes are still being adopted by commonfolk, AI driven Home Automation is a step even further - where a centralized automated system could learn your preferences and change your home to your specifications without you ever having to ask it to. Media hype has covered many recent advances, like self-driving Ubers or Tesla’s new semi-autonomous trucks, but much more lies ahead for transportation in reerence to Artifical Intelligence. AI could help facilitate and improve transportation in revolutionary ways. Consider traffic patterns.Traffic congestion in the US costs around $50 billion per year. If we implement traffic management via AI, it will allow streamlined traffic patterns and a significant reduction in congestion. Smart Automation will be the ultimate tool for perfecting Transportation and the implications of how it may affect society as a globalizing agent are vast. From things as seemingly insignificant as traffic light patterns, to optimized road mapping, the efficacy of AI in transportation is unequivocal.
The overarching sentiment of angst and spite that plagues the topic of AI when employment is considered is obvious. The general consensus is that AI in industry is an irreverant matter - that people, with all of their mastery and expertise, will be set aside in the name of effiiency. Joe Mckendrick of Forbes wrote a particularly interesting column on the subject, where he provides a unique perspective: “Tasks within jobs typically show considerable variability in 'suitability for machine learning' while few -- if any -- jobs can be fully automated using machine learning," they continue. "Machine learning technology can transform many jobs in the economy, but full automation will be less significant than the re-engineering of processes and the reorganization of tasks." It is my understanding that after consulting with MIT expertise, Mckendrick has the impression that jobs may not be taken away, but simply significantly structurally altered by AI. It is an optimistic and refreshing point of view. A topic of discussion that is raised far more rarely than it ought to be is how AI may influence our systems of education. Princeton is doing significant insight on how machine learning can help create tailored curriculums for students and stimulate individuals in a much more personal and interactive way. They are planning on MRI scanning volunteer students while they watch experimental lectures to see how they learn and what parts of their brain are stimulated when they retain the most knowledge. Machine learning may help people expand their intellectual capabilities in unforeseeable ways.
Animator Pierre Coffin, director of the “Despicable Me” and “Minions” movies, is skeptical about AI’s role in content creation: “Content is aimed at human beings, so I’m not sure how stories not made by human beings will psychologically impact human beings.” There are very grim projections for AI and advancing technological progression on the human Psych. Research has suggested a link between spending extended time on social media and a decline in general mental health, especially in young adults. A study published online in Computers in Human Behavior on December 10, 2016, found that the use of multiple social media platforms is more strongly associated with depression and anxiety among young adults than time spent online. However, Artificial Intelligence may turn things around in some regards. Consider that AI may learn your mentality and can predict how much time is adequate for you to spend online, or alter/curate your online experience for you. The implications of AI in westernized culture and the subcultures within it are so profound and unpredictable that one can merely speculate. Internet humor has already suprassed any conceivable notion of logic, yet thousands of people mutually understand and consume it. It is interesting to see where the fine lines will be created between AI and culture, because AI will never have the capacity to mimic human mind so ideally that it can participate in culture, but it will be the ultimate audience and a mirror for human behavior.