question
active
question:there-are-no-controlled-studies-and-no-consensus-on-optimal-policies-for-raising-children-making-alignment-debates-simultaneously-vital-and-empirically-intractableThere are no controlled studies and no consensus on optimal policies for raising children, making alignment debates simultaneously vital and empirically intractable
Research gap identified as structurally parallel to AI alignment problem
Source paper
extracted_from(2024) · Michael Levin
Neighborhood — ranked by edge-count
Concepts (2)
concept
- The source paper under extraction — a philosophical essay by Michael Levin arguing that AI debates neglect deeper questions about diverse intelligence, developmental biology, and humanity's future
- Alignment Problemanalogous_toThe problem of ensuring AI systems adopt values compatible with human welfare — argued to be a perennial problem already present in child-rearing
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.
- Deflates the novelty of AI alignment by pointing to its structural identity with intergenerational value transmission
- Key rhetorical and philosophical argument establishing continuity between AI concerns and child-rearing
- Alexander's claim that the limiting factor in creating living structure is not method but the maker's persistence.
- Assertion that the correlation between causal emergence and learning constitutes another way biological and artificial intelligences converge.
- Authors' interpretation of prompt variation results showing alignment faking disappears only when conflicting objective is removed
- Still & Precup (2012) formulation of epistemic imperatives behind curiosity; linked to active inference
- Glaese et al. 2022: Improving alignment of dialogue agents via targeted human judgementsconcept0.739Alignment paper cited as example of RLHF fine-tuning technique; ref 19
- Explicit rejection of efficiency-only thinking in favor of life-preserving design.