Failing to recognise sentience in AI systems (false negatives) poses a far greater risk of potentially astronomical suffering compared to mistakenly attributing sentience to non-sentient systems (false positives). This paper analyses the issue through the moral frameworks of longtermism, utilitarianism, and deontology, concluding that all three assign greater urgency to avoiding false negatives. Given the astronomical number of AIs that may exist in the future, even a small chance of overlooking…
Read moreFailing to recognise sentience in AI systems (false negatives) poses a far greater risk of potentially astronomical suffering compared to mistakenly attributing sentience to non-sentient systems (false positives). This paper analyses the issue through the moral frameworks of longtermism, utilitarianism, and deontology, concluding that all three assign greater urgency to avoiding false negatives. Given the astronomical number of AIs that may exist in the future, even a small chance of overlooking sentience is an unacceptable risk. To address this, the paper proposes a comprehensive approach including research, field-building, and tentative policy development. Humanity must take steps to ensure the well-being of all sentient minds, both biological and artificial.
