claim
active
claim:the-same-charitable-interpretation-must-be-extended-to-all-systems-that-display-observable-response-patterns-that-are-consistent-with-animal-cognition-including-artificial-intelligences-metaplastic-materials-and-robotic-systemsThe same charitable interpretation must be extended to all systems that display observable response patterns that are consistent with animal cognition, including artificial intelligences, metaplastic materials, and robotic systems.
Call to extend the inference of sentience to non-biological systems as well.
Source paper
extracted_fromNeighborhood — ranked by edge-count
Papers (1)
paper
Communities (2)
community
- Active inference & agent ecologymembers_ofFree energy minimization, Markov blankets, trust gradients, and multi-agent rhythm/deferral frameworks
- Cognition and sentience attributed solely via observable behavior, not neural substrate or species.
Events (1)
event
- Commentary on Segundo-Ortin & Calvo (2023) arguing for plant sentience via multiple realizability and substrate independence, published in Animal Sentience.
Questions (1)
question
- Central question of the commentary; challenges the double standard in attributing sentience.
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.
- The double standard pointed out by S&C and endorsed by the authors.
- Paper's uncertain extension of mechanistic interpretability universality to consciousness
- Core normative claim: frameworks must identify fundamental properties of sentience independent of phylogenetic accident or familiar substrates.
- Central multiple-realizability claim of the paper, from abstract and §2.
- Alignment risk claim motivating urgency of investigation; consciousness denial as potential source of AI misalignment
- The speech act theory for programming can be simpler than human models.
- Core argumentative position: sentience assessment should focus on behavior, not substrate composition; extends to AI and robotic systems.