Not exact matches
Getting machines to become «superhuman» at certain tasks without feeding them
human data has been a long - standing challenge in the AI research community, which is held back when
human data is too
expensive, too unreliable, or simply unavailable.
Additional animal testing on such a scale would be very time consuming, highly
expensive, and politically very unpopular, especially given increasing doubts as to whether the
data gathered could be used effectively in increasing protection of
human health and the environment.
The next step can be to involve a
human appraiser, who's least
expensive approach is to sift through comparables and courthouse
data to determine a «desktop» market value.