LEARNING PATH // PUBLIC-ADMINISTRATION, CORPORATE-GOVERNANCE, LEGAL, POLICY, TECHNOLOGY, JOURNALISM, CIVIL-RIGHTS, MUNICIPAL, AND GENERAL READERS
A nine-step path through proxy governance, synthetic actors, algorithmic executives, autonomous enterprises, public-market claims, municipal AI, accountability, anticipatory administration, and redress.
Estimated total: 190 minutes
This learning path is repository-authored curation of public educational routes. It records no participant testing, accepts no files or free text, sends no choices to a remote service, and grants no source authentication, specialist approval, accessibility certification, publication authority, operational authority, activation authority, production approval, or tuning authority.
Current review status: WIP.78 source-bounded curriculum — independent legal, financial, public-administration, municipal, civil-rights, accessibility, and affected-community review pending
A source-bounded map of how AI systems can influence state, corporate, municipal, and market decisions while legal authority and accountability remain human or institutional.
/psyops/ai-governanceHow governments may delegate analysis, triage, service delivery, forecasting, or representation to AI while responsibility and democratic legitimacy remain unresolved.
/psyops/ai-governance/proxy-governance-and-synthetic-actorsCorporate governance, fiduciary duty, Caremark-style oversight, antitrust exposure, and the limits of delegating executive operations to AI agents.
/psyops/ai-governance/algorithmic-executiveThe technical, legal, economic, and security architecture of businesses where agents perform most operational work or are claimed to control the entity.
/psyops/ai-governance/autonomous-enterpriseA non-investment, source-bounded framework for distinguishing AI infrastructure, applied AI, agentic automation, algorithmic underwriting, and AI-governance claims in public markets.
/psyops/ai-governance/publicly-traded-ai-companiesHow cities use data platforms, digital twins, predictive maintenance, mobility optimization, public-service automation, and public-safety analytics—and why democratic and administrative safeguards remain essential.
/psyops/ai-governance/municipal-governanceA twelve-layer accountability model for AI-mediated state and corporate decisions, from data and procurement through supervision, audit, appeal, correction, and public record.
/psyops/ai-governance/accountability-proxy-responsibility-and-redressA bridge between cognitive-city platforms and the pre-crime decision architecture, separating infrastructure optimization from person-based prediction, watchlisting, and coercive intervention.
/psyops/pre-crime/municipal-ai-governance-and-anticipatory-administrationAll eighteen target classes through retry, quarantine, dead letter, partial acceptance, direct acknowledgment, retest, closure, and reopening—without inferring repair from transport.
/psyops/pre-crime/correction-closure-and-reopening