Mindful AI Foundation · Publications

Essays, Research & Dialogue on

Newsletters & Essays

The transition from artificial intelligence to mindful intelligence is unfolding rapidly. Each month, the Foundation publishes newsletters and essays exploring the ideas, architectures, and institutions shaping this transformation.

About the Publication

Intelligence examined. Ideas advanced.

These publications will examine emerging developments in AI governance, information theory, and system architecture, while highlighting research, debates, and real-world applications that illuminate the path toward coherent and accountable intelligent systems.

Our newsletters will feature insights from fellows, researchers, and practitioners across academia, industry, and policy. Topics will range from the philosophical foundations of information and cognition to practical questions such as digital governance frameworks, enterprise AI architecture, and the societal implications of autonomous systems.

Through essays, interviews, and research briefs, we aim to cultivate an interdisciplinary dialogue about how intelligence can remain aligned with knowledge, accountability, and human flourishing.

01

AI Governance & Policy

02

Information Theory

03

System Architecture

04

Philosophy & Cognition

05

Autonomous Systems

Published PaperS

03 Publications Available

Publication 01

Machine Intelligence: An Awakening Awaits Us

Max Michaels

Recent reflections on machines building machines capture a phase- changing moment in the evolution of AI. The bottleneck is no longer execution. Code generates code. Models refine models. Systems design systems. But abundance has never been the end of the story. It merely shifts the locus of constraint.

Publication 02

The Limits of the World Model

Max Michaels | Kenzo Fujisue | Rao Mikkilineni, Ph.D

The future of Machine Intelligence is not a simple transfer of capability, but a co-evolution with responsibility. We need co-pilots in the true sense of the term, not autopilots. Systems must introduce friction into acceptance, requiring justification from both human and machine. And the time to govern machine intelligence is now.