Many of the indicator properties can be implemented in AI systems using current techniques.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• AI systems which possess more of the indicator properties are more likely to be conscious.claim0.825
  Graded claim about the rubric.
• The marker method can be adapted for AI systems by focusing less on behavioral evidence and more on architectural evidence.claim0.805
  Proposal for assessment framework.
• our analysis suggests that no current AI systems are conscious, but also suggests that there are no obvious technical barriers to building AI systems which satisfy these indicators.quote0.804
  Key takeaway from abstract, amended version.
• These methods make it possible to control AI behavior more precisely and with far fewer human labels.quote0.799
  Highlights the practical impact of CAI.
• Building AI systems with more indicator properties will increase the likelihood of consciousness.hypothesis0.799
  Guiding hypothesis of the rubric.
• How Can We Develop Ai Systems That Implementquestion0.792
• Satisfying the indicators would not mean that an AI system would definitely be conscious.claim0.792
  Caveat that indicators are not conclusive proof.
• AI can be seen to display care of its own, and is hence not a mere tool for the expression of human care.claim0.786
  Ethical conclusion about the status of AI.