quote
active
quote:it-is-certainly-very-hard-and-perhaps-impossible-for-mere-humans-to-anticipate-and-rule-out-in-advance-all-the-disastrous-ways-the-machine-could-choose-to-achieve-a-specified-objective"It is certainly very hard, and perhaps impossible, for mere humans to anticipate and rule out in advance all the disastrous ways the machine could choose to achieve a specified objective."
Russell's statement opening Section 2 articulating the core motivation for the Contemplative AI approach
Source paper
extracted_from(2025) · Ruben Laukkonen · Fionn Inglis · Shamil Chandaria · Lars Sandved-Smith +4
Neighborhood — ranked by edge-count
Claims (1)
claim
- Motivating claim for why Contemplative AI is needed beyond existing approaches
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Load-bearing epistemological statement; Schrödinger argues that current ignorance does not imply impossibility—motivates search for deeper theory.
- Alexander, Notes on the Synthesis of Form (1964); establishes design's relationship to intelligence amplification and early AI discourse.
- Canonical illustration of the Hard Problem intuition that any functional/mechanical explanation faces an explanatory gap for perception
- The central hypothesis of the paper
- Load-bearing quote from Monadology §17 providing earliest clear statement of the Hard Problem
- Ian Goodfellow quote used to illustrate the pre-paradigmatic state of interpretability research
- Argument that predictability is no longer an essential property distinguishing machines from life