PhilArchive
open access
AI Alignment Foundations from First Principles: AI Ethics, Human and Social Considerations
AI Alignment to Human Values is a scientific and popular theme of discussion on the ramifications and implications on the deployment of AI on the well being of humanity. Given its presence as purely mimetic, that is, one works on AI Alignment simply by claiming to do so and pub- lishing within the context of a particular scientific milieu, it is of utmost importance to formalize and define relevant notions through the most ap- propriate scientific domains. Here we present the most prominent themes of the topic, and consider that social science, strengthened as much as possible by the lowest abstraction layers possible in Biology and Decision Theory, becomes the appropriate set of languages games to perform the research program. We present a formal ontology, delve into the concerning foundations of Ethical language, and apply our analysis to contemporary discussions in the realm of political ideology surrounding AI. We complete the elucidation with a discussion of some potential methodological tools and theoretical scaffolding to assist in solving the Alignment problem.
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
- Disagreement, AI alignment, and bargaining#82814
- Moral Disagreement and the Limits of AI Value Alignment: a dual challenge of epistemic justification and political legitimacy#113449
- An Enactive Approach to Value Alignment in Artificial Intelligence: A Matter of Relevance#99418
- Foundations for Risk Assessment of AI in Protecting Fundamental Rights#100570
- Stop Saying "AI"#721868
Record · ID 82971
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