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cs.CV2025
On Thin Ice: Towards Explainable Conservation Monitoring via Attribution and Perturbations
Jiayi Zhou, Günel Aghakishiyeva, Saagar Arya +7
Computer vision can accelerate ecological research and conservation monitoring, yet adoption in ecology lags in part because of a lack of trust in black-box neural-network-based mo…
cs.CV2025
Photorealistic Inpainting for Perturbation-based Explanations in Ecological Monitoring
Günel Aghakishiyeva, Jiayi Zhou, Saagar Arya +7
Ecological monitoring is increasingly automated by vision models, yet opaque predictions limit trust and field adoption. We present an inpainting-guided, perturbation-based explana…
cs.AI2025
The Term 'Agent' Has Been Diluted Beyond Utility and Requires Redefinition
Brinnae Bent
The term 'agent' in artificial intelligence has long carried multiple interpretations across different subfields. Recent developments in AI capabilities, particularly in large lang…