This paper plans to develop an Equitable and Responsible AI framework with enabling techniques and algorithms for the Internet of Energy (IoE), in short, RAI4IoE. The energy sector is going through substantial changes fueled by two key drivers: building a zero-carbon energy sector and the digital transformation of the energy infrastructure. We expect to see the convergence of these two drivers resulting in the IoE, where renewable distributed energy resources (DERs), such as electric cars, storage batteries, wind turbines and photovoltaics (PV), can be connected and integrated for reliable energy distribution by leveraging advanced 5G-6G networks and AI technology. This allows DER owners as prosumers to participate in the energy market and derive economic incentives. DERs are inherently asset-driven and face equitable challenges (i.e., fair, diverse and inclusive). Without equitable access, privileged individuals, groups and organizations can participate and benefit at the cost of disadvantaged groups. The real-time management of DER resources not only brings out the equity problem to the IoE, it also collects highly sensitive location, time, activity dependent data, which requires to be handled responsibly (e.g., privacy, security and safety), for AI-enhanced predictions, optimization and prioritization services, and automated management of flexible resources. The vision of our project is to ensure equitable participation of the community members and responsible use of their data in IoE so that it could reap the benefits of advances in AI to provide safe, reliable and sustainable energy services.

翻译：本文计划开发一个面向能源互联网（IoE）的公平且负责任的人工智能框架及其使能技术与算法，简称RAI4IoE。能源行业正经历由两大关键驱动力推动的深刻变革：构建零碳能源部门与能源基础设施的数字化转型。我们预计这两大驱动力将汇聚形成能源互联网，其中可再生能源分布式资源（DERs），如电动汽车、储能电池、风力涡轮机和光伏发电，可通过利用先进的5G-6G网络和人工智能技术实现互联与集成，以保障可靠的能源分配。这将使DER所有者作为产消者能够参与能源市场并获取经济激励。DER本质上由资产驱动，面临公平性挑战（即公正、多元与包容）。若缺乏公平接入，特权个体、群体和组织将以弱势群体为代价参与并获益。对DER资源的实时管理不仅给IoE带来公平性问题，还收集了高度敏感的位置、时间、活动依赖数据——这些数据需要以负责任的方式（如隐私、安全与保安）处理，以支撑AI增强的预测、优化与优先级服务，以及灵活资源的自动化管理。本项目的愿景是确保社区成员在IoE中的公平参与及其数据的负责任使用，从而使其能够受益于人工智能的进步，提供安全、可靠且可持续的能源服务。