Conceptio › Archive › PhilArchive
PhilArchive open access

Robbie, Klara, and Ethan: Replicability and the Moral Status of AI

Tunick, Mark · 2025
PhilArchive · Papers · 2025
Open Source ↗
philosophy
What moral consideration would we owe future AI that had human-level intelligence? I address this question by drawing on philosophy and science fiction. The works of science fiction invite us to form intuitions about how we should treat AI, that can be tested against rational criteria identified by philosophers, but also help us evaluate those criteria. I draw on Mary Anne Warren’s multi-criterial framework that focuses on sentience, personhood status, and relationship value—but in addition, I propose a criterion of “non-replicability”: “bottom-up programmed” entities that are unique due to their distinct, irreplicable experiences are owed special moral consideration. I apply these rational criteria to Robbie from Asimov’s I, Robot, Klara from Kazuo Ishiguro’s Klara and the Sun, and Ethan from the science fiction television series Extant. I argue that intuitively we give greater moral consideration to Ethan and Klara than Robbie and that this is supported by rational criteria including that of non-replicability. I also address who is owed greater moral consideration between either Klara and Ethan, and a human being, if Klara or Ethan are replicable after all.
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

Record · ID 114426
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