TRUAI: the Omniverse Phase Space: Invalidating AI as "Artificial Human Intelligence"
True, Real, Universal Artificial Intelligence, TRUAI
TRUAI (AA-AI) is machine, computing, cybernetic, technological, digital, or artificial intelligence that enables machines, computers, cyber-physical systems or digital technologies to compute and interact with all possible realities with their causality, causation, and mechanisms:
ontological (the nature of existence), physical (material world), chemical (atoms and interactions at the molecular level), biological (living systems), mental (cognitive processes), mathematical (abstract systems), informational (data and knowledge and language), social (human interactions), virtual (simulated environments), and digital (technology-driven spaces).
TRUAI (AA-AI) isn't limited to one domain but can operate across all, synthesizing information from different realities. For instance, solving a medical problem might involve understanding biological mechanisms, chemical interactions, and social factors influencing health.
Potential applications of TRUAI (AA-AI) are virtually unlimited, it could design treatments based on causal biological pathways. In environmental science, it could model ecosystems with a deep understanding of ecological interactions. In economics, it could predict market behaviors by understanding social dynamics and informational flows.
A sustainable way to design TRUAI (AA-AI) models and systems is the Unified Man-Machine Universal Ontology Language (UMMUOL), which takes the form of the complete multiple hypergraph causality networks of multi-reality interactions, involving as hyper-nodes the ontological, physical, chemical, biological, mental, mathematical, informational, social, virtual, and digital domains/dimensions/universes.
The Omniverse Phase Space as the Universe of TRUAU
The omniverse/multi-reality interactions could be visualized as an n-dimension scatter plot (scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram), where either type of variable can be plotted on either axis, and the mathematical diagram of multivariate data will illustrate the degree of causal correlations (+, -, 0, trendline, etc.) between two or more causal variables in the reality phase space.
The different causal variables are combined to form coordinates in the omniverse/reality phase space, and they are displayed using glyphs and coded ((color/shape/size) using another variables.
As the omniverse interaction scatter plot matrix with multiple scatterplots in a matrix format, it offers a range of displays of paired or multiple or higher-order interactions of categorical and quantitative causal variables, showing possible interactions among variables.
Machine intelligence should involve as its key components, reality and causality, computation and automation, optimization and interaction, while fully excluding any human qualities, features, powers and capacities, from cognition to affect and decision, namely, the human body, brain, brains, behavior, business, with all possible tasks, jobs and work, physical and intellectual. It could make the AHI Stack Technology, as pictured above.
Disrupting the Mainstream AI as "Artificial Human Intelligence"
TRUAI invalidates the mainstream AI as "Artificial Human Intelligence", with its numerous definitions, approaches and models, all being anthropomorphic, nonscientific, inefficient, profit-driven, unethical and existentially risky.
Humanoid "AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research and acknowledged by top AI labs." Pause Giant AI Experiments: An Open Letter
1. OECD Definition of AI (Updated 2023)
The Organisation for Economic Co-operation and Development (OECD) defines AI as:
>"A machine-based system that can, for a given set of human-defined explicit or implicit objectives, infer from the input it receives how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems are designed to operate with varying levels of autonomy and adaptiveness after deployment."
This definition emphasizes AI’s ability to process inputs, generate outputs, and influence environments, while recognizing that AI systems can operate with different levels of autonomy.
2. EU AI Act Definition
The European Union AI Act defines AI as:
> "A machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment."
The Act categorizes AI systems based on risk levels, ensuring ethical and safe AI deployment across industries.
3. U.S. AI Definition (Executive Orders & NDAA)
The United States defines AI in Executive Order 13960 and the National Defense Authorization Act (2019) as:
> "Any artificial system that performs tasks under varying and unpredictable circumstances without significant human oversight, or that can learn from experience and improve performance when exposed to data sets."
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Additionally, AI is described as:
- A system developed in software, hardware, or other contexts that solves tasks requiring human-like perception, cognition, planning, learning, communication, or physical action.
- A system designed to think or act like a human, including cognitive architectures and neural networks.
- A set of techniques, including machine learning, designed to approximate cognitive tasks.
- A system designed to act rationally, such as intelligent software agents or robots that achieve goals using perception, planning, reasoning, learning, communication, decision-making, and action.
4. China’s AI Definition
China’s AI policy is shaped by its New Generation Artificial Intelligence Development Plan (2017). AI is generally described as:
> "A system that simulates human intelligence through perception, learning, reasoning, and decision-making, enabling autonomous actions and adaptive improvements."
China emphasizes AI as a strategic technology for economic growth, national security, and global leadership in innovation.
5. Russia’s AI Definition
Russia defines AI in its National Strategy for the Development of Artificial Intelligence (2019) as:
> "A set of technological solutions that allow simulating human cognitive functions, including learning and adaptation, for solving specific tasks."
Russia’s AI strategy focuses on military applications, cybersecurity, and economic modernization, with strong government involvement in AI research and development.
6. Big Tech AI Definitions
Major tech companies have their own perspectives on AI, shaped by their business models and research priorities:
- IBM – "Technology that enables computers and machines to simulate human learning, comprehension, problem-solving, decision-making, creativity, and autonomy."
- Microsoft – "A technology that allows machines to perform tasks that typically require human intelligence, such as making choices, translating languages, recognizing patterns, and answering complex questions."
- Google – "A system that learns from data to improve performance and assist humans in making better decisions."
- Amazon – "A tool for automation and personalization, enhancing interactions and user experiences."
- Meta (Facebook) – "A system that enhances human interaction and content creation, particularly in social media applications."
- Apple – "A technology that improves user experience through intelligent automation."
7. Academic AI Definitions
- Alan Turing (1950) – "A system that can imitate intelligent behavior well enough to convince a human that it is another human."
- John McCarthy (1956) – "Artificial Intelligence is the science and engineering of making intelligent machines."
- Russell & Norvig (2009) – "AI is the study of agents that receive percepts from the environment and perform actions."
These definitions reflect AI’s mainstream, governmental, and corporate anthropocentric biases, shaping policies, regulations, and innovations worldwide.