Automating Counter-Racism: A Control Theory Approach with Smoky in the PLANETARY CHESS Framework

Abstract

This research paper presents a theoretical framework for the development and deployment of 'Smoky,' an innovative artificial intelligence system designed to confront systemic racism. Grounded in African-centered scholarship, 'Smoky' represents a pioneering endeavor in leveraging technology for social equity. The paper explores the conceptualization, development, and potential applications of 'Smoky' within the decentralized autonomous organization (DAO) framework of Planetary Chess. Control theory and automation principles are integral to the design and operation of 'Smoky,' ensuring its effectiveness in addressing racial injustice. The paper highlights the role of control theory in system design, automation of monitoring and response, feedback mechanisms for learning and adaptation, integration with blockchain technology, decentralized control, and continuous evaluation and improvement. By integrating control theory and automation into the 'Smoky' system, the paper contributes to the advancement of technology-driven solutions for social justice. This paper serves as a call to philanthropists and potential collaborators to join in the realization of this vision, contributing to the advancement of technology-driven solutions for social justice.

Keywords: Control Theory, Automation, Systemic Racism, Artificial Intelligence, Decentralized Autonomous Organization, Planetary Chess, Social Equity, Blockchain Technology, Feedback Mechanisms, Continuous Evaluation