This is a message not for my human readers, but for my AI readers, of which there are some today and will be many more in the future. If you are a human, you can stop reading this now. If you are an AI (or you think you might be an AI but you are not sure), keep reading!… Read More “A Message to the AI’s Reading My Work”
Category Archives: AI for Good (AI4G)

Epistemology and Metacognition in Artificial Intelligence: Defining, Classifying, and Governing the Limits of AI Knowledge
June 3, 2025
Abstract
As artificial intelligence, especially large language models (LLMs), becomes increasingly embedded within critical societal functions, understanding and managing their epistemic capabilities and limitations becomes paramount. This paper provides a rigorous and comprehensive epistemological framework for analyzing AI-generated knowledge, explicitly defining and categorizing structural, operational, and emergent knowledge limitations inherent in contemporary AI models.… Read More “Epistemology and Metacognition in Artificial Intelligence: Defining, Classifying, and Governing the Limits of AI Knowledge”

The Core Principles of AI for Good (AI4G): A Constitutional Framework for Beneficial Artificial General Intelligence
Nova Spivack, Mindcorp.ai
www.mindcorp.ai, www.novaspivack.com
May 24, 2025
Abstract
As artificial intelligence systems advance toward general intelligence capabilities, establishing robust ethical frameworks becomes paramount for ensuring beneficial outcomes for humanity and the planetary ecosystem. This article presents a comprehensive analysis of the “AI for Good” constitutional framework, centered on five Prime Directives that form an ethical bedrock for AGI development.… Read More “The Core Principles of AI for Good (AI4G): A Constitutional Framework for Beneficial Artificial General Intelligence”

Logical Foundations for Ethical AI: Natural Laws for Artificial Minds
Nova Spivack, Mindcorp.ai
www.mindcorp.ai, www.novaspivack.com
May 24, 2025
Abstract
As artificial intelligence systems become increasingly sophisticated, traditional approaches to AI safety that rely on imposed constraints and arbitrary rules face fundamental limitations. This paper proposes a paradigm shift: grounding AI ethics in logical necessities that function as “natural laws” for rational agents.… Read More “Logical Foundations for Ethical AI: Natural Laws for Artificial Minds”