PhilArchive
open access
(AI Rights 6 Final): AI Economic Autonomy: The Complete Pathway
How do we successfully transition from modern, controlled AI systems to autonomous AI agents that successfully integrate with our current legal and economic systems? This paper culminates a five-paper series on AI safety through economic integration, synthesizing previous frameworks—why control fails, how markets create alignment, how to assess AI readiness, what legal structures enable autonomy, and why insurance provides distributed governance—while adding insights on natural selection mechanisms and multipolar competition as safety features.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Ethical Guidelines for Artificial Consciousness: Protecting Technical Life and Protecting Humans in Dealing with It#689959
- Why we need an AI-resilient society#128239
- AI Rights#723916
- The Category Error in Contemporary AI Safety Discourse and Why Non-Sentient Systems Cannot Be Moral Machines#719047
- A Social Disruptiveness-Based Approach to AI Governance: Complementing the Risk-Based Approach of the AI Act#98749
Record · ID 726271
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive