Listening to nature: harnessing AI and acoustics for biodiversity conservation
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Global climate change and habitat loss are having an unprecedented effect on biodiversity. Now, more than ever, we need efficient methods to monitor these changes so we can implement effective conservation strategies to decrease species extinctions. The recent discipline of ecoacoustics emerges with tremendous opportunities but also with big challenges in this endeavor. Species recognition and the separation of different sources of sound (biophony, anthropophony and geophony) becomes central for AI to play a role. Using passive acoustic sensors, along with AI, we can now identify specific animal species by their vocalizations, covering large expanses of territory and extended time frames. This improves not only our understanding of the diversity of life in an ecosystem, but also provides crucial data for conservation efforts and management plans. We will discuss how these tools are being employed in various contexts, from estimating habitat references of threatened species to assessing the diversity of animal communities in tropical forests, and highlight the potential benefits for conservation efforts around the world. Finally, we will also examine some of the challenges and limitations of machine listening systems in hyperdiverse ecosystems, as well as opportunities for continued research and collaboration.
This live event includes a 30-minute networking event hosted on the AI for Good Neural Network. This is your opportunity to ask questions, interact with the panelists and participants and build connections with the AI for Good community.