Human-Centric Computing in Three Dimensions

The purpose of human-centered computing in 3D specified as "centered around people" is to make it easier for people to access computers, rather than making computers accessible to people easily. In the 20th century, the computer evolved a little easier to use, but it is easier to obtain than when first invented. Using a computer is problematic because it is nothing other than using a mechanism that human beings are not using, such as a keyboard, mouse, monitor, etc. This is a problem.

At least three aspects I developed earlier are developing intelligence. These are calculations, autonomy and social intelligence. The first one can be used to discover the nature of the universe. The second type is the last type of automation that can be run and determined without human intervention. So, if we can predict human behavior, should we use it now? Recent research by 25 technical and policy researchers showed how artificial intelligence is being exploited. The title of this research is "Abuse of artificial intelligence: prediction, prevention, and relaxation". Paper of 100 pages is a treasure trove of artificial intelligence technology that can cause damage. The framework of this white paper is focused on identifying "safety related" AI functions, specifically the following:

A research paper titled "A morphological space of consciousness" recently published by Ariswalla et al. Three different dimensions are proposed to explore consciousness. These are autonomy, computing, and social. Autonomous dimensions reflect adaptive intelligence in living things. The dimension of computation is related to the discrimination, planning, and decision making abilities that we see in computers and humans. Specifically, it is information related to execution of deductive reasoning. The third category is the social aspect. This includes the tools needed to interact with other agents. It includes languages, customs and culture

Therefore, from the viewpoint of technological progress, we can develop three themes for future development and progress. One theme is to build a theme of superhuman humanity. This is the calculation dimension. The second topic will focus on more adaptive and biological inspiration automation. This is an autonomous dimension. The third theme is about intelligence to effectively navigate social interactions. This is a social aspect. In the first dimension, we will see a continuous specialization of the machine to solve certain narrow problems. DeepMind's AlphaGo is a typical example of such a machine. It is a well-designed machine that solves specific problems and is done in a superhuman way. AlphaGo combines Deep Learning, Monte Carlo Tree Search, and Reinforcement Learning to solve Go 's ancient gameplay. Games whose advanced game progress is similar to achieving a higher level consciousness