
Advocate for Open AI Models

It’s likely that not all members of my target audience, the NIST AISIC (Artificial Intelligence Standards and Innovation Committee) possess a deep understanding of what is involved in creating open-standard AI models, especially if their background or primary expertise isn’t closely tied to AI development or standardization processes. Providing a concrete example of an open-standard…

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…

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

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.

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:

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.