Many researchers motivate explainable AI with studies showing that human-AI team
performance on decision-making tasks improves when the AI explains its recommendations …

The illicit wildlife trade is a pervasive and global problem that has far-reaching impacts on
both society and the environment. Aside from threatening numerous species around the …

The continuous monitoring of animals is crucial for the well-being of both humans and
animals. A comprehensive animal monitoring system must incorporate animal detection …

Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

Maintaining or restoring connectivity among wildlife populations is a primary strategy to
overcome the negative impacts of habitat fragmentation. Yet, current connectivity planning …

Snaring poses a significant threat to terrestrial animals in many parts of Southeast Asia.
However, long-term population monitoring data to determine the impact of snaring on …

In the predict-then-optimize framework, the objective is to train a predictive model, mapping
from environment features to parameters of an optimization problem, which maximizes …

Wildlife management is becoming increasingly critical to improving the sustainability of
biodiversity and the welfare of human beings. This paper uses affordance as a lens to …

Conservation efforts in green security domains to protect wildlife and forests are constrained
by the limited availability of defenders (ie, patrollers), who must patrol vast areas to protect …

Machine learning models are often trained to predict the outcome resulting from a human
decision. For example, if a doctor decides to test a patient for disease, will the patient test …