RIFFAI. Date unknown. Kolatat Katousano. https://www.linkedin.com/in/kolatat-katousano/ (AI & Environment Resource Hub; record atlas-5ece3a75171e; collection snapshot 2026-09-15).
Classification and context
Included in the original People of Interest collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.
This is a directory, not an expert survey, ranking, or inferred affiliation network. Check deferred after source rate limit · checked 2026-09-06. Metadata not yet corroborated. The import date is not the original date added.
Trust is a cornerstone and enabler of human civilization, determining the very nature of how people interact with each other. The swift integration of artificial intelligence (AI) into daily life poses grand societal challenges and necessitates a reevaluation of trust. Our bibliometric literature review calls for scientists and stakeholders to cross traditional academic boundaries to address emerging and evolving societal challenges arising from AI. We propose a transdisciplinary research framework to understand and bolster trust in AI and address grand challenges in domains as diverse and urgent as misinformation, discrimination, and warfare.
Humanities and Social Science Communications
Shared topics: Cross-cutting sustainability; Research tools and geospatial methods; Biodiversity and ecosystems
Deep learning combined with satellite remote sensing enhances biodiversity monitoring and conservation by leveraging big data, but challenges in capacity building, data access, environmental costs, and model interpretability must be addressed for broader adoption.
Deep Learning, Biodiversity Monitoring, Conservation
