Developing and integrating AI

Save this page for later by
adding it to your bookmarks
Press Ctrl+D (Windows)
or Cmd+D (Mac OS)

Technology has been advancing at a very fast speed and currently, we carry more power in our pockets than most homes did in the 1990s. In particular, one aspect of technology known as Artificial Intelligence or simply as AI which has been an interesting concept of sci-fi for many years will soon become a reality. Scientists have achieved major milestones in machine learning by making use of neural networks which act in the same way the neurons in our brains (Ghahramani, 2015). This type of learning gives machines the capacity to process information on their own at a very advanced level, allowing them to carry out complicated functions such as facial recognition (Spiro et al., 2017). Advances in big data have really sped up the development of AI and very soon we will be witnessing more integration of AI technology in our daily lives. Although much of the technology is still at an elementary stage, it is expected that AI will very soon impact our everyday lives significantly (Skowron et al., 2016).

One of the ways AI integration is going o affect our everyday lives is through automation of transportation. Self-driven cars have already been developed although according to traffic laws the vehicles currently are required to have a driver at the wheel for the purpose of safety. This is a great advancement in AI although the technology is still rudimentary and it will take some fine tuning before self-driven cars are used in public on a massive scale (Mittal & Singh, 2016). Google is one of the teams that have been developing the automated cars since 2012 and since then the Department of Transportation has come up with definitions for the different levels of automation. So far the car developed by Google is just one level away from complete automation. Trains and buses are also being experimented on in regards to integration of AI to make them fully automated.

Cyborg technology has for long been a fascination of many sci-fi movies and now it’s almost a reality in our everyday lives. Our bodies and brains are a major limitation to the extent we can use them in productivity. Scientists believe that very soon we will be able to integrate our bodies with computer technology that will enhance our innate abilities. For now the possible AI enhancements may only be adopted for convenience but later on, they will be able to serve a more practical role (Murata et al., 2017). It is expected that AI will enable people with amputated limbs to have more functionality since then there will be communication between the brain and the robotic prosthetic limbs giving the user more control. This kind of AI integration would in a great way reduce the limitations encountered by amputees in their everyday lives.

Integration of AI in dangerous jobs will soon become a reality in our everyday lives. It is expected that robots will soon take over risky jobs such a bomb disposal. Currently, such robots only function as drones and they are used as physical alternatives to human bomb defusing but they currently require some human operation and they have not fully integrated with AI. However, they have saved countless lives by taking over a very dangerous job (Joh, 2017). With advances in technology, there is going to be more integration of AI to improve the functioning of the machines. Other jobs that are most likely going to be taken over by AI include jobs that are carried out in hazardous environments such as intense heat, toxic compounds, and excessive noise.

Climate change is a very sensitive issue in our everyday lives. Solving climate change will soon be taken up by AI. Machines have more access to data as compared to any single human. In addition, they are capable of storing huge amount of statistical data. By making use of big data, AI will soon be used to keep an eye on weather trends and make use of such data to create solutions to climate change, one of the biggest problems in the world (Raza & Khosravi, 2015).

One of the most significant impacts of AI on our daily lives is that we are soon going to have robots as friends. Currently, most robots don’t have an emotional capacity and it’s hard to imagine relating to a robot. However, AI has made a huge step towards the creation of robot companions which have the capacity to feel and understand emotions. At the moment, scientists are experimenting with robots that can interpret human emotions, develop their own emotions and help their human counterparts stay happy (Lu et al., 2017).

AI is soon expected to improve elderly care in a major way. The elderly have for long had to manage their own care or rely on hired help or their family. Scientists are currently developing home robots that could help seniors in their daily tasks. It is expected that such robots would enable seniors to be independent and improve their well-being (Biundo et al., 2016).

Although there is no specific timeframe for the complete integration of AI in our daily lives, it is evident that soon AI will be a significant part of our daily existence. Such interactions will fast track societal evolution leading to improved productivity. It is therefore expected that integration of AI in our every-day lives will improve our socioeconomic outlook and improve the quality of life.

Did you like this sample?
  1. Biundo, S., Höller, D., Schattenberg, B., & Bercher, P. (2016). Companion-technology: an overview. KI-Künstliche Intelligenz, 30(1), 11-20.
  2. Joh, E. E. (2017). Private Security Robots, Artificial Intelligence, and Deadly Force. UCDL Rev., 51, 569.Ghahramani, Z. (2015). Probabilistic machine learning and artificial intelligence. Nature, 521(7553), 452.
  3. Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2017). Brain intelligence: go beyond artificial intelligence. Mobile Networks and Applications, 1-8.
  4. Mittal, P., & Singh, Y. (2016). Development of intelligent transportation system for improving average moving and waiting time with artificial intelligence. Indian Journal of Science and Technology, 9(3).
  5. Murata, K., Adams, A. A., Fukuta, Y., Orito, Y., Arias-Oliva, M., & Pelegrin-Borondo, J. (2017). From a science fiction to reality: cyborg ethics in Japan. ACM SIGCAS Computers and Society, 47(3), 72-85.
  6. Raza, M. Q., & Khosravi, A. (2015). A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renewable and Sustainable Energy Reviews, 50, 1352-1372.
  7. Skowron, P., Faliszewski, P., & Lang, J. (2016). Finding a collective set of items: From proportional multirepresentation to group recommendation. Artificial Intelligence, 241, 191-216.
  8. Spiro, R. J., Bruce, B. C., & Brewer, W. F. (Eds.). (2017). Theoretical issues in reading comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence and education (Vol. 11). Routledge.
Find more samples:
Related topics
More samples
Related Essays