Write A Document On Artificial Intelligence With Proper CI ✓ Solved

Write a document on Artificial Intelligence with a proper citation

Write a document on Artificial Intelligence with a proper citation and 1 video reference (less than 10 min video). What is an Artificial Intelligence? How does Artificial Intelligence work? what are the Pros n Cons of Artificial Intelligence? why the job market affected by Artificial Intelligence? what kind of workforce is Artificial Intelligence taking over? and What kind of workforce are in benefits by Artificial Intelligence? and what is the future of Artificial Intelligence? and Do you supported Artificial Intelligence? Write personal opinion! Make sure to do proper Citation!

You should be consulting ACADEMIC or PROFESSIONAL WRITTEN/PRODUCED video or written content at this stage of the research process. Because YouTube is a popular streaming website and not the creator of all of the videos on the platform, you may search for background research on the site with a critical eye to the accuracy and the credibility of the content. Verify that the video was produced by a reputable academic, industry, or journalistic organization that is relatively free of editorial bias. Avoid video content produced by entertainment channels or otherwise non-professional or non-academic producers of video content. Do not cite Wikipedia, pop-culture blogs, or otherwise open-source, non-professional, or nonacademic web publications.

Paper For Above Instructions

Artificial Intelligence (AI) is a branch of computer science dedicated to creating systems capable of performing tasks that typically require human intelligence. Such tasks include reasoning, learning, problem-solving, perception, language comprehension, and decision-making (Russell & Norvig, 2021). AI can be classified into two main categories: narrow AI, which is designed for specific tasks, and general AI, which aims to perform any intellectual task that a human can do. Understanding AI begins with grasping its foundational components, including algorithms, data processing, and machine learning.

AI operates by utilizing algorithms and massive datasets to recognize patterns and make predictions or decisions without explicit programming for individual tasks. Machine learning—a subset of AI—enables systems to improve their performance over time by learning from data (Jordan & Mitchell, 2015). For instance, deep learning, a more advanced form of machine learning based on artificial neural networks, has proven powerful in fields like image and speech recognition (LeCun, Bengio, & Haffner, 2005).

Pros and Cons of Artificial Intelligence

The advantages of AI are substantial. It enhances efficiency and accuracy in various industries, from healthcare to finance, by automating routine tasks and analyzing vast amounts of data rapidly. AI systems can also operate continuously without fatigue, leading to increased productivity and innovation (Brynjolfsson & McAfee, 2014).

Nevertheless, there are significant drawbacks. One major concern is job displacement, as AI can replace human workers in tasks such as data entry, manufacturing, and even professional roles like legal research. This creates economic challenges and increases income inequality (Chui, Manyika, & Miremadi, 2016). Additionally, ethical concerns arise about biased algorithms, surveillance, and the potential for misuse of AI technologies (O'Neil, 2016).

Impact on the Job Market

The job market is experiencing profound changes due to AI integration. Many traditional roles are being automated, particularly in sectors like manufacturing, transport, and customer service. For instance, self-driving vehicles could potentially replace truck drivers, while chatbots may handle customer inquiries previously managed by support staff (Bessen, 2019).

However, AI also creates opportunities in new industries and job categories. Fields such as AI development, data analysis, and machine learning engineering are expanding rapidly, requiring a workforce equipped with advanced technical skills (Arntz, Gregory, & Zierahn, 2016). Moreover, jobs that emphasize human creativity, emotional intelligence, and complex problem-solving are less likely to be automated and are therefore benefiting from the rise of AI technology.

The Future of Artificial Intelligence

The future of AI holds immense potential. Continued advancements promise significant breakthroughs in healthcare, environmental sustainability, and education. As AI technologies evolve, they may enhance human capabilities rather than replace them, leading to more collaborative human-AI partnerships (Marr, 2020).

However, with progress comes the necessity for responsible development. Ensuring equitable access to AI technologies, addressing ethical concerns, and implementing regulations to govern AI's use will be crucial in shaping a future that benefits all.

In my personal opinion, I support the advancement of AI as long as it is developed responsibly and ethically. The advantages AI offers in enhancing productivity and driving innovation cannot be ignored. However, it is essential to address the societal impacts and ensure that measures are in place to support displaced workers and prevent bias in AI systems.

Video Reference

For a concise overview of AI, I recommend the video titled "What is Artificial Intelligence?" produced by MIT, which is less than 10 minutes long and provides a credible explanation (MIT, 2020).

References

• Arntz, M., Gregory, T., & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis. OECD Social, Employment and Migration Working Papers, No. 189. OECD Publishing, Paris.
• Bessen, J. E. (2019). AI and Jobs: The Role of Demand. NBER Working Paper No. 24235.
• Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.
• Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly.
• Jordan, M. I., & Mitchell, T. M. (2015). Machine Learning: Trends, Perspectives, and Prospects. Science, 349(6245), 255-260.
• LeCun, Y., Bengio, Y., & Haffner, P. (2005). Gradient-based Learning Applied to Document Recognition. Proceedings of the IEEE, 86(11), 2278-2324.
• Marr, B. (2020). 10 Ways Artificial Intelligence Is Changing The World. Forbes.
• MIT. (2020). What is Artificial Intelligence? [Video]. Retrieved from MIT website.
• O'Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing Group.
• Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson.