What are The Principles of AI and Intelligent Machines? An AI system is a machine-based system that is capable of influencing the environment by producing an output (predictions, recommendations or decisions) for a given set of objectives. It uses machine and/or human-based data and inputs to, (i) perceive real and/or virtual environments; (ii) abstract these perceptions into models through analysis in an automated manner (e.g., with machine learning), or manually; and (iii) use model inference to formulate options for outcomes. AI systems are designed to operate with varying levels of autonomy. AI system lifecycle phases involve: i) 'design, data and models'; which is a context-dependent sequence encompassing planning and design, data collection and processing, as well as model building; ii) 'verification and validation'; iii) 'deployment'; and iv) 'operation and monitoring'.

The high motivations for building the real superintelligence (RSI) Technology Platform are plain and clear: 1. To have the most powerful human-machine superintelligent technology platform for solving the most complex global problems humanity has ever faced, environmental, geopolitical, social, economic, humanitarian, and technological. The RSI as a digital synergy of human and machine is emerging as the summit of all human knowledge: Mythology Religion Philosophy Science & Technology Computing Machines the Internet/WWW Emerging Technologies NAI/ML/DL BCI Human Intelligence Digital Superintelligence Global Human-AI Superintelligence (RSI). The only way to reach the point of Technological Singularity is via real superintelligence (RSI), relying on the the comprehensive and consistent world model machine, integrating causal, mathematical, scientific, conceptual, statistic and probabilistic models, algorithms and techniques. It is all supported by exponential emerging technologies.

What is Omniscient AI Technology? It is a new class of ultraintelligent cyber-physical machines, emerging as ontological AI transformers, or Ontological Omniscient Machines. The Omniscient AI Technology enables creating the best ever human invention, "the first ultraintelligent machine, the last invention that man need ever make", as True Real AI or Causal Machine Intelligence and Learning, Causal AI, or Trans-AI, or Ontological Omniscient Machines. The Omniscient AI Technology disproves the potentially apocalyptic perspective of AI, pictured, narrated and described by many techno-dystopian movies, sci-fi literature and books. The way to enrich our deep science and technology life, mentality, creativity, study, work, business and government is to learn the fundamentals about the world of reality.

Today's AI is largely machine learning techniques, deep learning algorithms and deep neural networks can't identify causality, its elements and structures, processes and mechanisms, rules and relationships, data and models, all what makes our world. This leads to all sorts of decision and prediction errors, data and algorithmic biases, the lack of quality data, and implementation failings, or the absence of real machine intelligence and learning. Correlation-based ML; Predictions only; Limited explainability; Spirals out of control in novel situations; Minimal human-machine interaction; Constrained by historical data; No guarantees on fairness; Needs a lot of data; True AI will emerge as Causal AI, State-of-the-Art AI Causal AI True AI: Real AI Platform. Decision-making AI: Causal AI doesn't just predict the future, it shapes it. Explainable AI: Put the "cause" in "because" with next-generation explainable AI.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What is the most concerning aspect of AI technology to you? It is mindlessnes relying on blind numeric statistical algorithms. It is largely an automated, unconscious, customary, brainless, senseless or habitual automatic intelligence lacking intelligence. Mindfulness is a state of mind where a person is present in the present and notices the present changes, whereas mindlessness is a state of mind where the mind is failing to know the changes in the present. Everything we do, we do mindfully or mindlessly, as there are habitual behavior and intelligent behavior.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What are the Principles of classification of #artificialintelligence systems (AIS)? The classification scheme is based on the key, from the point of view of standardization, classification grounds. Each of the bases under consideration is represented as several top-level classes. In most cases, more detailed class hierarchies or classification principles can be found by reference to the relevant standards or documents. The basic classes of AIS based on the following principles: 1) by classes and categories of objects in management; 2) technologies for building, acquiring and using knowledge; 3) according to the functions that the IS performs in the control loop; 4) on methods and technologies used in SII; 5) on methods and means of interaction of AIS with other systems and a human operator.