NSF-CSIRO: HCC: Small: From Legislations to Action: Responsible AI for Climate Change

NSF-CSIRO：HCC：小型：从立法到行动：负责任的人工智能应对气候变化

• 批准号: 2302785
• 负责人: Chenhao Tan
• 金额: $ 30万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-15 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302785&HistoricalAwards=false
• 关键词: NSF; CSIRO; HCC; Small; Legislations

Climate change is a key threat in contemporary life. To curb and ultimately reverse climate change governments, organizations, and citizens around the world are taking actions to reduce the carbon footprint of human activity. Achieving these goals requires the effective creation and implementation of climate interventions, ranging from the individual to the national level. Yet developing effective climate change policies poses a significant challenge. Numerous policy options are possible, and policies interact with one another in unexpected ways. The task is further complicated by the fact that there are many sources of information about climate change, but they are often laden with jargon and may conflict with one another. The goal of this project is to develop responsible artificial intelligence (AI) to help stakeholders make sense of climate change related information, so that non-experts can collectively make sense of and implement effective policies. This encompasses a wide variety of possible AI-assisted tasks, ranging from summarizing the latest news reports to explaining the outcome of new legislation. In particular, we will focus on improving policymaking and public awareness by bridging the information gap between a wealth of publicly available information and a dearth of actionable insights. This will ultimately improve the effectiveness of climate change policies. The technical aims are structured along three thrusts: 1) understanding which tasks users are willing to delegate to AI and why; 2) developing a large-scale dataset of climate change related information, ranging from legislative texts from Australia and the US to news articles and social media; and 3) developing prototypes of AI systems to demonstrate the promise of responsible AI in promoting effective climate change policies.This is a joint project between U.S. and Australian researchers funded by the Collaboration Opportunities in Responsible and Equitable AI under the U.S. NSF and the Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

气候变化是当代生活的一个主要威胁。为了遏制并最终扭转气候变化，世界各地的政府、组织和公民正在采取行动减少人类活动的碳足迹。实现这些目标需要有效制定和实施从个人到国家层面的气候干预措施。然而，制定有效的气候变化政策是一项重大挑战。可能有多种政策选择，而且政策之间会以意想不到的方式相互作用。由于有关气候变化的信息来源有很多，但这些信息往往充满了行话，并且可能相互冲突，这一事实使这项任务变得更加复杂。该项目的目标是开发负责任的人工智能（AI），帮助利益相关者理解气候变化相关信息，以便非专家能够共同理解并实施有效的政策。这涵盖了各种可能的人工智能辅助任务，从总结最新新闻报道到解释新立法的结果。特别是，我们将通过弥合大量公开信息与缺乏可操作见解之间的信息差距，专注于提高政策制定和公众意识。这最终将提高气候变化政策的有效性。技术目标分为三个重点：1）了解用户愿意将哪些任务委托给人工智能以及原因； 2）开发气候变化相关信息的大规模数据集，范围从澳大利亚和美国的立法文本到新闻文章和社交媒体； 3）开发人工智能系统原型，以展示负责任的人工智能在促进有效的气候变化政策方面的承诺。这是美国和澳大利亚研究人员之间的联合项目，由美国国家科学基金会和澳大利亚联邦的负责任和公平人工智能合作机会资助科学与工业研究组织 (CSIRO)。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。