Question

Which of the following best describes capability caution as referenced in the Asilomar AI Principles?

1) If there is no understanding of the internal mechanisms of AI, then AI development should be halted.
2) Should there be a greater reliance on AI, measures should be taken to ensure that humans are still capable of finding work.
3) We should keep limits on on what artificial general intelligence (AGI) is capable of.
4) Given a lack of consensus, we should avoid strong assumptions regarding upper limits on future AI capabilities.

Answer 1

Capability caution in the Asilomar AI Principles advises against assuming definitive upper limits on future AI capabilities due to the unpredictability and potential complexity of AI's evolution.

Step-by-step explanation:

Capability caution as referenced in the Asilomar AI Principles refers to the concept that society should be cautious about making strong assumptions regarding the upper limits of future AI capabilities. This approach suggests that, in the absence of a widespread agreement on how far AI can evolve, we should avoid setting definitive upper limits on what AI might achieve. It's based on the understanding that as artificial intelligence technology progresses, it could reach levels of complexity and capability that we currently cannot fully predict or comprehend.

The correct choice, therefore, that best describes capability caution from the provided options is: 4) Given a lack of consensus, we should avoid strong assumptions regarding upper limits on future AI capabilities. This principle is intended to encourage careful consideration and preparation for potential AI advancements without constraining the possibilities of what artificial intelligence could eventually accomplish.