AI is booming in conservation, with almost daily news articles on how it will solve problem X with algorithm Y. Indeed, there's huge potential here. But, as the old adage goes..with great power comes great responsibility!
We (David Jacoby, @robin_freeman and I) just published a comment piece ("Responsible AI for Conservation"), arguing for serious consideration of the possible unintended consequences of AI use in conservation. It might be a good starting point for a discussion here, as there are lots of folks actively engaged in really exciting projects at the intersection of AI and conservation.
Have a read here (free to read) if you're interested. Either way, it would be great if we could:
a) share and discuss examples you've come across of possible (or actual) unintended consequences of AI, specifically in conservation (there are lots of examples from other fields, such as this one and this one, that have been well-publicised)
b) discuss ways to guide algorithm development in such a way as to reduce harm for wildlife and people
21 February 2019 4:37am
Congratulations on your beautiful article. One thing that we feel is that too many jargons are hampering (disruptive technologies for conservation/ecological research) our efforts. For instance, even we are addressing the same issue, but from a different perspective. Please check out https://www.wildlabs.net/community/thread/649
Does it not make sense if we synergise a bit more?