Open Autonomous intelligence initiative

Conceptual update:

  • Simplified PMF incorporated in the Structural Intelligence Framework
  • Entity is the common managed-object base class.
  • Host, Sensor, Signal, Event, Knowledge, Agent, Interface, and Log are Entity subclasses..

Download the read-ahead deck for AI/Data Science discussion

Open Autonomous Intelligence Initiative

Open object-oriented models for accountable AuI

  • Proposed National AI Infrastructure

    The National Institute of Standards and Technology (NIST) plays a pivotal role in shaping the future of technological innovation and standardization across the United States. As we venture deeper into the age of artificial intelligence, NIST is uniquely positioned to spearhead the development of a proposed national AI infrastructure. This infrastructure aims to utilize a…

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  • Social Benefits

    Standardized AI models will democratize AI access, ensure ethical governance, enhance societal well-being, mitigate AI risks, support sustainable development, and facilitate global collaboration.

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  • Organizational Benefits

    Supporting and participating in standard model development provides several benefits to organizations, including innovation and market leadership, ecosystem influence, risk management, open innovation and collaboration, corporate responsibility and public image, and long term strategic benefits.

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  • Concepts: Standard, Open, Ethical, Object-oriented

    The phrase “standard, open, and ethical object-oriented AI models” encompasses a set of principles and practices aimed at fostering transparency, interoperability, and accountability in the development of artificial intelligence systems. Here’s a breakdown of each component in technical terms:

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  • Autonomous Intelligence

    The terms “artificial intelligence” and “autonomous intelligence” both describe facets of computer science dealing with creating systems capable of performing tasks that would typically require human intelligence. However, their prefixes and the connotations of these terms shape different perspectives on how such systems operate and are perceived.

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  • Understanding Object-oriented Models for AI Interoperability

    Object-oriented application models significantly enhance interoperability across different systems and platforms. Here are several ways through which object-oriented models support interoperability.

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