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Annotated Bibliography:Artificial Intelligence and Its Side effects on Culture

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Annotated Bibliography:Artificial Intelligence and Its Side effects on Culture

Bruun, Edvard P.G., and Alban Duka. “Artificial Intelligence, Jobs And The Future Of Work: Racing With The Machines”. Basic Income Studies, vol 13, no. 2, 2018. Walter De Gruyter Gmbh, doi:10.1515/bis-2018-0018.

Artificial intelligence challenges every aspect of our livelihood. Traditionally, human beings did everything manually. There were no machines to make work easier and more efficient. For example there were messengers sent to deliver messages but they were later replaced by telephones which were faster and more effective. This is one of the first artificial intelligence innovations and changed the people’s way of life in the society. The computer has also changed our way of life. Previously people had to write important letters and send through postal offices which took a long period of time before delivery, some even got lost in the process. However with the invention of computers and the software, one can type a letter and send it via electronic mail which is faster and efficient. These are just examples of the inventions that changed the people way of life in the past. These machines still undergo changes as they are being improved over the years. The telephone for example has been replaced by cellular phones which are smaller and portable. They are cheaper and have made communication easier. They have even been integrated to have operating systems that allow people install applications like games, social media platforms, music players, Google maps among others (Bruun, and Duka).

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Carlucci Aiello, Luigia. “The Multifaceted Impact Of Ada Lovelace In The Digital Age”. Artificial Intelligence, vol 235, 2016, pp. 58-62. Elsevier BV, doi:10.1016/j.artint.2016.02.003.

Artificial Intelligence and it’s side effects on culture,” give a thorough introduction to what artificial intelligence is in general. Also, the first purpose is to compare machine versus the mind, or brain. In contrasting these two, the reader can better understand how scientists are creating artificial intelligence. Despite the examples of Pursuing the next level of artificial intelligence .i.e Manufacturing robots, Proactive healthcare management, Automated financial investing, Virtual travel booking agent, Social media monitoring. The world shapes the innovations as the innovations are made such as to make people comfortable. There has also been a rise in the number of cellular phone manufacturing companies that compete for the market share. This competition leads to economic growth as the electronic sector is not monopolized by one company. Most of these companies manufacture other electronic devices like computers, laptops television sets and household electronics. This shows both economic and cultural growth in the world due to the different innovations in the world (Carlucci Aiello).

Domingos, Pedro, and Daniel Lowd. “Markov Logic: An Interface Layer For Artificial Intelligence”. Synthesis Lectures On Artificial Intelligence And Machine Learning, vol 3, no. 1, 2009, pp. 1-155. Morgan & Claypool Publishers LLC, doi:10.2200/s00206ed1v01y200907aim007.

Artificial intelligence will definitely cause our workforce to evolve. The alarmist headlines emphasize the loss of jobs to machines, but the real challenge is for humans to find their passion with new responsibilities that require their uniquely human abilities. According to PwC, 7 million existing jobs will be replaced by AI in the UK from 2017-2037, but 7.2 million jobs could be created. This uncertainty and the changes to how some will make a living could be challenging.

The transformative impact of artificial intelligence on our society will have far-reaching economic, legal, political and regulatory implications that we need to be discussing and preparing for. Determining who is at fault if an autonomous vehicle hurts a pedestrian or how to manage a global autonomous arms race are just a couple of examples of the challenges to be faced. (Domingos, and Lowd).

Fox, Stephen. “Domesticating Artificial Intelligence: Expanding Human Self-Expression Through Applications Of Artificial Intelligence In Prosumption”. Journal Of Consumer Culture, vol 18, no. 1, 2016, pp. 169-183. SAGE Publications, doi:10.1177/1469540516659126.

Will machines become super-intelligent and will humans eventually lose control? While there is debate around how likely this scenario will be we do know that there are always unforeseen consequences when new technology is introduced. Those unintended outcomes of artificial intelligence will likely challenge us all.

Another issue is ensuring that AI doesn’t become so proficient at doing the job it was designed to do that it crosses over ethical or legal boundaries. While the original intent and goal of the AI is to benefit humanity, if it chooses to go about achieving the desired goal in a destructive (yet efficient way) it would negatively impact society. The AI algorithms must be built to align with the overarching goals of humans.

Artificial intelligence algorithms are powered by data. As more and more data is collected about every single minute of every person’s day, our privacy gets compromised. If businesses and governments decide to make decisions based on the intelligence they gather about you like China is doing with its social credit system, it could devolve into social oppression. (Fox).

“Home Automation Using Artificial Intelligence”. Vol 4, no. 3, 2018, pp. 780-784. International Journal Of Recent Trends In Engineering And Research, doi:10.23883/ijrter.2018.4206.pd8pq.

Artificial intelligence is proving to be a game-changer in healthcare, improving virtually every aspect of the industry from robot-assisted surgeries to safeguarding private records against cyber criminals.

Healthcare has long suffered from skyrocketing medical costs and inefficient processes. Artificial intelligence is giving the maligned industry a much-needed makeover.

AI-enabled virtual assistants are reducing unnecessary hospital visits and giving nurses 20% of their time back in the process; workflow assistants are helping doctors free up 17% of their schedules; pharmaceutical companies are researching lifesaving medicines in a fraction of the time and cost it traditionally takes; and AI is even being used to help bring healthcare to underdeveloped nations. (“Home Automation Using Artificial Intelligence”).

Ryman-Tubb, Nick F. et al. “How Artificial Intelligence And Machine Learning Research Impacts Payment Card Fraud Detection: A Survey And Industry Benchmark”. Engineering Applications Of Artificial Intelligence, vol 76, 2018, pp. 130-157. Elsevier BV, doi:10.1016/j.engappai.2018.07.008.

AI and the finance industry are a match made in heaven. The financial sector relies on accuracy, real-time reporting and processing high volumes of quantitative data to make decisions, all areas intelligent machines excel in.

As the industry takes note of AI’s efficiency and accuracy, it is rapidly implementing automation, chatbots, adaptive intelligence, algorithmic trading and machine learning into financial processes.   One of the biggest financial trends of 2018 is the robo-advisor, an automated portfolio manager.

These automated advisors use AI and algorithms to scan data in the markets and predict the best stock or portfolio based on preferences. Wealth management firms are turning towards robo-advisors, not only because it saves both the company and client time and money, but it also produces some extraordinary returns. (Ryman-Tubb et al.).

 

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