Executive summary: When designing AI systems, we should prioritize creating cohesive, intelligent systems capable of accurate self-reporting to minimize potential moral harm, given the uncertainty around AI moral status.
Key points:
Create AIs with reliable introspection and linguistic competence to avoid moral ambiguity.
Prioritize developing more capable single AI systems rather than multiple less intelligent ones.
Consider the potential for diminishing moral relevance as AI scale increases.
Be cautious of ensemble systems, mixtures of experts, and expert systems that may contain morally relevant subcomponents.
Account for continuity of experience and running time when designing AI systems.
Apply a principle of minimality: only create multiple AI minds if one is insufficient for the task.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, andcontact us if you have feedback.
Executive summary: When designing AI systems, we should prioritize creating cohesive, intelligent systems capable of accurate self-reporting to minimize potential moral harm, given the uncertainty around AI moral status.
Key points:
Create AIs with reliable introspection and linguistic competence to avoid moral ambiguity.
Prioritize developing more capable single AI systems rather than multiple less intelligent ones.
Consider the potential for diminishing moral relevance as AI scale increases.
Be cautious of ensemble systems, mixtures of experts, and expert systems that may contain morally relevant subcomponents.
Account for continuity of experience and running time when designing AI systems.
Apply a principle of minimality: only create multiple AI minds if one is insufficient for the task.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.