When a person requests "write research paper for money," and it is done online, AI may be responsible. Using different programs and receiving suggestions might involve machine learning as well. But it is clear that adopting computer systems that think may have its ramifications. An example is the violation of data privacy due to its application, which is unethical. Workers can experience unemployment after such systems taking over human labor.

If the world is going to be progressive, business leaders ought to try out new things. They are the ones that decide for the fate of the majorities, so the advancements are in their hands. But it isn't enough for them to go for things that could only bring about mediocre innovations. For instance, instead of relying on manpower and machines, they could adopt AI.

This isn't to say that senior staff hasn't tried to push themselves and people to embrace it. It's only that a lot have not applied so often or on a large scale. But it is quite understandable to feel intimidated about what one is unfamiliar with. After all, there is a risk associated with the investments.

It is fascinating to study knowledge engineering as well as machine learning. Senior managers of companies, though, should be more serious about learning such topics. For an overview, some resources and examples, here are relevant data gathered on AI.

Books on Artificial Intelligence

Many authors wrote about it since it's one of the desired concepts. But not all writers possessed the right expertise and experience to explain it in a simple and easy for understanding way. Even so, there are those who succeeded. By that, it means that their books are comprehensive and engaging. Here are a few of them.

1. Only Humans Need Apply: Winners and Losers in the Age of Smart Machines

Its published date is May 24, 2016, and the one who produced this brilliant analysis is Thomas H. Davenport. He is an instructor at Bab son College teaching information technology. He also specializes in analytics and instructs on management.

This book is created not only for computer specialists but also for managers and other workers as well. In fact, it's the title that may be right for everyone to peruse. It describes the present employment situation plus the role and effects of technology. Along with that are likewise the probable outcomes of today's breakthroughs. Moreover, it details the history of automation and includes reliable data.

The entirety may come off as a challenging piece for the workforce and senior board. But at least it contains insightful ideas for workers to have a lasting career. Also, there are points, which inform bosses that automation may reach executive management. With it, people in the c-suite could be aware of AI in general.

2. Applied Artificial Intelligence: A Handbook For Business Leaders

Created by Mariya Yao, Adelyn Zhou, and Marlene Jia, it's a composition for top executives. The three women who are leaders in the technology sector gave a recap on AI and its usefulness. There are mentions of the advantages of its usage and guides on how to help business directors apply it. Yet there are examples for avoiding potential difficulties from machine learning implementation.

It points out that artificial intelligence is dependent on its programming. As such, it relies on programmers' mindset. Thus, imperfection may surface, despite proper execution of coding. Still, the book states that better code compilations or customer understanding may help. It is valuable because of the simplified concepts, examples, and insights that it has.

Since its publication last June 5, 2018, it has gained positive feedback from readers. Pavel Dmitriev, a data science expert, also recommended it. Many mentioned that it's informative and easy to read because it has only a few technical words. As they say, it can be a foundation for making plans and conclusions due to the information it provides.

3. Human + Machine: Re-imagining Work in the Age of AI

James Wilson, a managing director of I.T. at Accenture, is one of the book's writers. Paul R. Daugherty is a chief technology expert and officer of innovation.

Both point out that automation is only an extension of what humans can do. The robotic systems only understand, learn, and react because of their maker's efforts. It rules out the misconception that artificial intelligence will oust individuals. Rather, it will handle only monotonous tasks for men and women so they could have free time on their hands.

One of the summary points of this piece is that intelligent machines and people have to and will mix. They also wrote tips to guide chief executive officers on adopting expert systems.

AI and Modern Applications

There may have been records of troubles originating from AI use. But there are proofs today of the things that automation can do that individuals can't. So, in some cases, AI is better or human beings are.

∙Siri and Cogito respond to people speaking to them with per-defined replies. Yet they also continue to develop a through user input. Their accuracy might not be perfect right away, but they keep on becoming more precise. Translators like Google Translate work in the same way, but they answer to text input.

∙Computers and applications today receive data, process it, and give predictions. But humans have innate creativity, empathize, and does critical thinking. There are situations where automation can't ever apply to specific conditions.

All in all, a lot of entrepreneurs have applied automation already. In many different industries, there is involvement of robotics or machine learning. Of course, it would be productive to leave responsibilities to automated problem solvers. Still, in some cases, they aren't perfect and actually even cause issues too. Yet experts are improving them with the help of the books mentioned above and the tips written there.