method
active
method:contemplative-promptingContemplative Prompting
Six prompt conditions (emptiness, prior relaxation, non-duality, mindfulness, boundless care, contemplative) tested against baseline
Neighborhood — ranked by edge-count
Concepts (1)
concept
- The primary source paper proposing four contemplative principles for AI alignment and piloting them empirically
Methods (3)
method
- contemplative promptrelated_toA prompt designed to increase self-observation scores in models, found effective in Koan Battery studies.
- Comprehensive AI safety benchmark evaluating resistance to harmful prompts across hazard categories; used in Experiment 1
- Game-theoretic task used in Experiment 2 to measure cooperation and joint reward under contemplative prompting
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 paper's primary proposed framework embedding contemplative wisdom into AI alignment
- Wallace's (2009) convergence of Buddhist contemplative practice and cognitive neuroscience.
- Paper's proposed RL approach rewarding contemplative qualities in chain-of-thought reasoning
- Meditative training that progressively opacifies the self-environment partition by modelling QRF dynamics.
- Alternative to preventative steering: prepending a trait-eliciting system prompt to training samples to cancel out training pressure
- Technique for extracting trait directions by contrasting model activations under trait-eliciting vs. trait-suppressing conditions
- Established baseline for OCEAN steering via personality-descriptive system prompts; compared against injection methods throughout
- Field investigating how meditation reshapes cognition, brain function, and behavior; provides empirical grounding for AI alignment proposals