Agree or Disagree?? Why??

Today, artificial intelligence (AI) is capable of learning from its experience through the element of its Machine Learning in conjunction with Deep Learning component and using them to adjust to new input and perform human-like performance, or at least to complement and enhance human abilities. Because of this capability, it pervades every aspect of the enterprise in the years to come (Bahman Zohuri and Farhang Mossavar Rahmani 2020).

Herbert Simon's well-known quote in 1965 "Machines will be capable of doing any work a man can do" This quote was state 50 years and predicted that machine can replace human labor. Unfortunately, until today, artificial intelligence (AI) has come a long way and far closer to what Simon predicted years ago (Manyika and Bughin, 2018; Samuel et al., 2019).

While Human Intelligence aims to adapt to new environments by utilizing a combination of different cognitive processes, Artificial Intelligence aims to build machines that can mimic human behavior and perform human-like actions. The human brain is analogous, but machines are digital.

Machine is a neutral network technique method of machine learning. It is a technique that encompasses all techniques that use algorithms to discover patterns in data and evaluate their own performance. A better example of a machine learning while use an email spam filter display a neutral network that would observe which emails users from clutter and junk folder and which one, they don't and figure out a pattern so that future emails can be filtered more accurately. The spam filter continues to learn from day-to-day use (McKinney Jr and Kroenke, 2022)

Reference

Zohuri and Rahmani (2020) Artificial Intelligence Versus Human Intelligence: A New Technological Race

https://www.researchgate.net/profile/BahmanZohuri/publication/341186285_Artificial_Intelligence_Versus_Human_Intelligence_A_New_Technological_Race/links/5ebfa8fd458515626caca8af/Artificial-Intelligence-Versus-Human-Intelligence-A-New-Technological-Race.pdf

Manyika and Bughin( 2018) Samuel et al,2019) Artificial intelligence applications in supply chain managementhttps://www.sciencedirect.com/science/article/abs/pii/S0925527321002267#preview-section-references.McKinney Jr and Kroenke, 2022 Processes, systems, and information An Introduction to MIS