“Rise of AI systems of action” is a book review of “Unger’s Approach to the Artificial Intelligence Lab.” Authors James Q. Watson and John McCarthy put forward their synthesis of theoretical knowledge with real-world experiences in working as designers, managers and leaders in the human resources field. They share their personal experiences in building design teams, problem solving units, problem solving teams, individual and team workshops and corporate training sessions. This book describes the design and development of AIs that can interact with humans in an intelligent and proactive way.
The authors describe how AIs will be able to make better decisions than most people because they have “self-awareness,” an ability not shared by humans. They also discuss why an artificially intelligent system might be less likely to engage in costly human mistakes. Watson and McCarthy present new ways of designing and using AIs in business, medicine and the government.
The system developed by Watson and McCarthy can predict, when tested against four different types of data, the probability of an investment banker making a risky decision, a sales person making a costly mistake, and an investor making a costly error. Even more important, it is able to make these decisions without the help of anyone on staff. This makes AIs much more powerful than people because they can do the difficult work necessary for businesses, governments and even individuals. Watson and McCarthy call their artificial intelligent system MLQ, for Multilayered Linguistic Programming, and it is described as a general-purpose artificial intelligence system that can communicate effectively both with people and with machines.
AIs will have the ability to understand all the meaning of any language, and they will be able to converse with both individuals and with machines in any language at a very high-level. Humans will only be able to read the languages the machine can understand. Thus, AIs will become much more powerful than ever before.
Currently, AIs are being developed in a wide variety of environments. One of the most exciting aspects of this technology is that it will be developing AIs that can do tasks traditionally reserved for humans. These could include tasks like answering questions and suggesting solutions. In fact, many artificially intelligent computer systems are already in use at universities and other institutions. Many researchers are looking at using this technology for education, but also in the manufacturing industry and in medicine.
The idea behind having the AIs that can both answer questions and suggest solutions is fascinating. However, it does pose one huge problem. There is currently no way to teach an artificially intelligent computer human how to converse. Humans are not good enough computer systems. The difficulty lies in trying to teach a machine to learn how to communicate using human speech.
However, the challenge is worth taking. There are already many academic research projects in development to solve this problem. In fact, many computer specialists believe we may be able to have artificial computers that can beat every chess game played around the world in a few years. They believe this is only the beginning.
Artificial intelligence researchers are racing against time to get their creations to human grade status. Google recently invested millions into a company called DeepMind. This company will be working on a project to create a software system that can beat games and even Google Glass. If these guys get it right, it will mark a huge step forward in computing power. We will soon see the next generation of super-intelligent computers.
As exciting as all this may be, the future is darker. There is a war going on in the future between artificially intelligent supercomputers and humans. There will be a huge battle in which only the stronger and smarter machines will triumph. The humans will lose if they don’t have artificial intelligence running on their side. Will humans win the war, or will the machines?
Personally, I am very pessimistic about the future of artificially intelligent computers. It is much more likely that we will see an enormous rise in malware and viruses, then we will a rise in artificially intelligent machines. I think we should focus our efforts on keeping malware and viruses off of our computers. If we do not do this, then we are setting ourselves up for disaster.
If we want to make the future safe, then we need to focus on creating malware and virus resistant computers. We also need to close the loophole that allows attackers to get into computers through USB ports and even by sniffing out internet traffic. This is one of the most important things that I have learned in all my research. Please consider all this.