https://www.cell.com/current-biology/fulltext/S0960-9822(23)00848-5
"Talking to animals is a fundamental human desire. The emergence of powerful AI
algorithms, and specifically Large Language Models, has driven many to suggest
that we are on the verge of fulfilling this wish. A few large scientific
consortia have been formed around this topic and several commercial entities
even offer such services. We frame the task of communicating with animals as
‘The Doctor Dolittle challenge’ and identify three main obstacles on the route
to doing so. First, although generative AI models can create novel animal
communication samples, it is very difficult to determine their context, and we
will forever be biased by our human
umwelt when doing so. Second, using AI to
extract context in an unsupervised manner must be validated through controlled
experiments aiming to measure the animals’ response. This is difficult, and
moreover, AI algorithms tend to cling on to any available information and are
thus prone to finding spurious correlations. And third, animal communication
focuses on a restricted set of contexts, such as alarm and courtship, highly
limiting our ability to communicate regarding other contexts. Nevertheless,
using the tremendous power of novel AI methods to decipher and mimic animal
communication is both fascinating and important. We thus define the criteria
for passing the Doctor Dolittle challenge and call upon scientists to take on
the mission."
Via
Future Crunch:
<
https://futurecrunch.com/good-news-abortion-mexico-vaccine-indonesia-conservation-alaska/>
Cheers,
*** Xanni ***
--
mailto:xanni@xanadu.net Andrew Pam
http://xanadu.com.au/ Chief Scientist, Xanadu
https://glasswings.com.au/ Partner, Glass Wings
https://sericyb.com.au/ Manager, Serious Cybernetics
