Some pretty unintuitive results for some of these. I would not have assumed that a dairy cow would have a worse estimate for welfare score than a beef cow. The method seems pretty logical so I think it is more accurate than just my intuition. I guess my concern would still be with inter-species comparisons of utility, given their possible varying levels of sentience. How is CE approaching this problem? With the usual neuron amount or is there a better way of doing it? I suppose that would just have to be something you have to concede a large margin of error for when comparing between species.
We pulled the data on odds of feeling pain from Open Phil’s report on consciousness and moral patienthood. The probability of consciousness (as loosely defines by examples in the report) for a given species were estimated based on proxies like last common ancestor with humans, neurobiological features, nociceptive features and other behavioral/cognitive features. In our system, we based weighting of different criteria based on multiple factors including proxying ethical value accuracy (metric and ethical value, encapsulation, directness and gamability) and cross-applicability, including cross-animal applicability. You can read more on that in our previous post.
Some pretty unintuitive results for some of these. I would not have assumed that a dairy cow would have a worse estimate for welfare score than a beef cow. The method seems pretty logical so I think it is more accurate than just my intuition. I guess my concern would still be with inter-species comparisons of utility, given their possible varying levels of sentience. How is CE approaching this problem? With the usual neuron amount or is there a better way of doing it? I suppose that would just have to be something you have to concede a large margin of error for when comparing between species.
We pulled the data on odds of feeling pain from Open Phil’s report on consciousness and moral patienthood. The probability of consciousness (as loosely defines by examples in the report) for a given species were estimated based on proxies like last common ancestor with humans, neurobiological features, nociceptive features and other behavioral/cognitive features. In our system, we based weighting of different criteria based on multiple factors including proxying ethical value accuracy (metric and ethical value, encapsulation, directness and gamability) and cross-applicability, including cross-animal applicability. You can read more on that in our previous post.