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

气候变化是当代生活中的一个关键威胁。为了遏制并最终逆转气候变化，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地制定和实施气候干预措施，范围从个人到国家。然而，制定有效的气候变化政策是一项重大挑战。有许多政策选项是可能的，并且政策之间以意想不到的方式相互作用。关于气候变化的信息来源很多，但它们往往充斥着行话，可能会相互冲突，这让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，以便非专家能够集体理解并实施有效的政策。这包括各种各样可能的人工智能辅助任务，从总结最新的新闻报道到解释新立法的结果。特别是，我们将通过弥合丰富的公开信息和缺乏可操作的见解之间的信息鸿沟，重点提高决策和公众意识。这最终将提高气候变化政策的有效性。技术目标围绕三个方面展开：1)了解用户愿意将哪些任务委托给人工智能，以及为什么；2)开发气候变化相关信息的大规模数据集，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气候变化政策方面的承诺。这是美国和澳大利亚研究人员的联合项目，由美国国家科学基金会和澳大利亚联邦科学与工业研究组织(CSIRO)下的负责任和公平人工智能合作机会资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.