THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE AND ITS ROLE IN OUR LIVES
Main Article Content
Abstract:
Artificial Intelligence (AI) refers to a collection of technologies aimed at replicating mental functions such as thinking, decision-making, learning, understanding language, and communication in computer systems. AI systems can have the ability to self-learn, make decisions based on rules, reason logically, and even understand emotions, which are typically human traits. These technologies allow computers and robots to learn, replicate, and make decisions based on human intelligence and behavior.
Although AI programs are generally capable of making decisions similar to those of human intellect, the algorithms and datasets used in the decision-making process are different. The development and application of artificial intelligence are leading to revolutionary changes worldwide. These changes are affecting not only scientific and technological fields but also social, economic, and cultural areas. The impact of AI technologies on human life is growing daily, especially as new applications and possibilities are discovered.
Article Details
How to Cite:
References:
Turing, A. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433–460.
This article, written by Alan Turing, who is considered the founder of AI, introduces ideas on how machines could replicate human thinking.
McCarthy, J., Minsky, M., Papert, S., & Shannon, C. (1956). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. This work, created at the first AI conference at Dartmouth College in 1956, introduces the term "Artificial Intelligence" and presents key ideas for the field.
Russell, S., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach (3rd ed.). Pearson Education. This book is a core resource for studying modern AI approaches, covering various AI methodologies and their real-world applications.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. This book provides in-depth knowledge about deep learning, one of the key technologies in AI, and how neural networks operate.
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260. This article discusses the future of machine learning technologies and their expected changes in various fields.
Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer. A book providing foundational knowledge in machine learning and pattern recognition, helping readers understand machine learning techniques.
Bengio, Y., LeCun, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
This article explores the development of deep learning and its contribution to modern AI technologies.
Sutton, R. S., & Barto, A. G. (2018). Reinforcement Learning: An Introduction (2nd ed.). MIT Press.
A comprehensive resource on reinforcement learning, covering its principles and practical applications in various fields.
Kaplan, J., & Haenlein, M. (2019). Robo-advisors: A portfolio management perspective. Journal of Business Research, 100, 233-245. This article analyzes the development of AI-driven investment robots (robo-advisors) and their role in financial services.
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company. This book discusses the impact of AI and automation on the economy and the labor market.

