[HTML][HTML] Artificial intelligence for environmental security: national, international, human and ecological perspectives
M Francisco - Current Opinion in Environmental Sustainability, 2023 - Elsevier
Highlights•Environmental security perspectives can shape our understanding of artificial
intelligence.•These perspectives impact the aims, uses, actors nvolved, risks and …
intelligence.•These perspectives impact the aims, uses, actors nvolved, risks and …
AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change
Climate change is one of the most pressing global challenges we face today. The impacts of
rising temperatures, sea levels, and extreme weather events are already being felt around …
rising temperatures, sea levels, and extreme weather events are already being felt around …
Scrutinizing environmental governance in a digital age: New ways of seeing, participating, and intervening
Digital technologies play an increasingly important role in addressing environmental
challenges, such as climate change and resource depletion. Yet, the characteristics and …
challenges, such as climate change and resource depletion. Yet, the characteristics and …
Algorithmic epistemologies and methodologies: Algorithmic harm, algorithmic care and situated algorithmic knowledges
S Maalsen - Progress in Human Geography, 2023 - journals.sagepub.com
Algorithms have been the focus of important geographical critique, particularly in relation to
their harmful and discriminatory effects. However, less attention has been paid to engaging …
their harmful and discriminatory effects. However, less attention has been paid to engaging …
Bridging adaptive management and reinforcement learning for more robust decisions
From out-competing grandmasters in chess to informing high-stakes healthcare decisions,
emerging methods from artificial intelligence are increasingly capable of making complex …
emerging methods from artificial intelligence are increasingly capable of making complex …
Foresight science in conservation: Tools, barriers, and mainstreaming opportunities
Foresight science is a systematic approach to generate future predictions for planning and
management by drawing upon analytical and predictive tools to understand the past and …
management by drawing upon analytical and predictive tools to understand the past and …
Clustering of disaggregated fisheries data reveals functional longline fleets across the Pacific
Ensuring the long-term sustainability of tuna, billfish, and other transboundary fisheries
resources begins with data on the status of stocks, as well as information concerning who …
resources begins with data on the status of stocks, as well as information concerning who …
Deep reinforcement learning for conservation decisions
M Lapeyrolerie, MS Chapman… - Methods in Ecology …, 2022 - Wiley Online Library
Can machine learning help us make better decisions about a changing planet? In this
paper, we illustrate and discuss the potential of a promising corner of machine learning …
paper, we illustrate and discuss the potential of a promising corner of machine learning …
Reflections from the Workshop on AI-Assisted Decision Making for Conservation
In this white paper, we synthesize key points made during presentations and discussions
from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for …
from the AI-Assisted Decision Making for Conservation workshop, hosted by the Center for …
[HTML][HTML] Exploring the Role of Artificial Intelligence in Achieving a Net Zero Carbon Economy in Emerging Economies: A Combination of PLS-SEM and fsQCA …
In this paper, we examine the role of artificial intelligence (AI) in sovereignty and carbon
neutrality, emphasizing digital inclusion and climate-resilient AI strategies for emerging …
neutrality, emphasizing digital inclusion and climate-resilient AI strategies for emerging …