Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges

• URL: http://arxiv.org/abs/2212.13631v1
• Date: Tue, 27 Dec 2022 22:28:56 GMT
• Title: Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges
• Authors: Feras A. Batarseh, Priya L. Donti, J\'an Drgo\v{n}a, Kristen Fletcher, Pierre-Adrien Hanania, Melissa Hatton, Srinivasan Keshav, Bran Knowles, Raphaela Kotsch, Sean McGinnis, Peetak Mitra, Alex Philp, Jim Spohrer, Frank Stein, Meghna Tare, Svitlana Volkov, Gege Wen
• Abstract summary: AI can support applications in climate change mitigation, adaptation, and climate science. It can also hinder climate action by accelerating the use of greenhouse gas-emitting fossil fuels. This symposium brought together participants from across academia, industry, government, and civil society to explore these intersections of AI with climate change.
• Score: 4.608293854632696
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Climate change is one of the most pressing challenges of our time, requiring rapid action across society. As artificial intelligence tools (AI) are rapidly deployed, it is therefore crucial to understand how they will impact climate action. On the one hand, AI can support applications in climate change mitigation (reducing or preventing greenhouse gas emissions), adaptation (preparing for the effects of a changing climate), and climate science. These applications have implications in areas ranging as widely as energy, agriculture, and finance. At the same time, AI is used in many ways that hinder climate action (e.g., by accelerating the use of greenhouse gas-emitting fossil fuels). In addition, AI technologies have a carbon and energy footprint themselves. This symposium brought together participants from across academia, industry, government, and civil society to explore these intersections of AI with climate change, as well as how each of these sectors can contribute to solutions.

Related papers

• Leveraging AI for Climate Resilience in Africa: Challenges, Opportunities, and the Need for Collaboration [1.3744158081557412]
  This position paper explores the role of AI in climate change adaptation and mitigation in Africa. It advocates for a collaborative approach to build capacity, develop open-source data repositories, and create context-aware, robust AI-driven climate solutions.
  arXiv  Detail & Related papers  (2024-04-24T14:05:22Z)
• On the Opportunities of Green Computing: A Survey [80.21955522431168]
  Artificial Intelligence (AI) has achieved significant advancements in technology and research with the development over several decades. The needs for high computing power brings higher carbon emission and undermines research fairness. To tackle the challenges of computing resources and environmental impact of AI, Green Computing has become a hot research topic.
  arXiv  Detail & Related papers  (2023-11-01T11:16:41Z)
• AI For Global Climate Cooperation 2023 Competition Proceedings [77.07135605362795]
  No global authority can ensure compliance with international climate agreements. RICE-N supports modeling regional decision-making using AI agents. The IAM then models the climate-economic impact of those decisions into the future.
  arXiv  Detail & Related papers  (2023-07-10T20:05:42Z)
• Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues [0.0]
  This paper describes the paradox of an energy-consuming technology serving the ecological challenges of tomorrow. It draws on numerous examples from AI for Green players to present use cases and concrete examples. The environmental dimension is part of the broader ethical problem of AI, and addressing it is crucial for ensuring the sustainability of AI in the long term.
  arXiv  Detail & Related papers  (2022-12-22T14:31:48Z)
• AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N [75.67460895629348]
  Achieving long-term cooperation on climate change mitigation with n strategic agents poses a complex game-theoretic problem. We introduce RICE-N, a multi-region integrated assessment model that simulates the global climate and economy. We describe how to use multi-agent reinforcement learning to train rational agents using RICE-N.
  arXiv  Detail & Related papers  (2022-08-15T04:38:06Z)
• Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet [98.97255654573662]
  This work provides an overview of areas in which audio intelligence can contribute to overcome climate-related challenges. We categorise potential computer audition applications according to the five elements of earth, water, air, fire, and aether.
  arXiv  Detail & Related papers  (2022-03-10T13:32:31Z)
• Modelling the transition to a low-carbon energy supply [91.3755431537592]
  A transition to a low-carbon electricity supply is crucial to limit the impacts of climate change. Reducing carbon emissions could help prevent the world from reaching a tipping point, where runaway emissions are likely. Runaway emissions could lead to extremes in weather conditions around the world.
  arXiv  Detail & Related papers  (2021-09-25T12:37:05Z)
• Remote sensing, AI and innovative prediction methods for adapting cities to the impacts of the climate change [0.0]
  I propose an AI-based framework which might be useful for extracting indicators from remote sensing images. I underline that this is an open field and an ongoing research for many scientists, therefore I offer an in depth discussion on the challenges and limitations of AI-based methods.
  arXiv  Detail & Related papers  (2021-07-06T15:55:26Z)
• Quantum technologies for climate change: Preliminary assessment [0.0]
  Climate change presents an existential threat to human societies and the Earth's ecosystems. Quantum technologies in computing, sensing, and communication could become useful tools to diagnose and help mitigate the effects of climate change. This report aims to identify potential high-impact use-cases of quantum technologies for climate change with a focus on four main areas.
  arXiv  Detail & Related papers  (2021-06-23T18:02:19Z)
• NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action [2.482368922343792]
  The paper thematically discusses how NLP techniques could be employed in climate policy research. We exemplify symbiosis of NLP and Climate Policy Research via four methodologies. The present theme paper further argues that creating a knowledge platform would help in the formulation of a holistic climate policy.
  arXiv  Detail & Related papers  (2021-05-12T12:30:02Z)
• The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
  Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI. Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
  arXiv  Detail & Related papers  (2020-10-07T12:25:03Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.