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This paper plans to develop an Equitable and Responsible AI framework withenabling techniques and algorithms for the Internet of Energy (IoE), in short,RAI4IoE. The energy sector is going through substantial changes fueled by twokey drivers: building a zero-carbon energy sector and the digitaltransformation of the energy infrastructure. We expect to see the convergenceof these two drivers resulting in the IoE, where renewable distributed energyresources (DERs), such as electric cars, storage batteries, wind turbines andphotovoltaics (PV), can be connected and integrated for reliable energydistribution by leveraging advanced 5G-6G networks and AI technology. Thisallows DER owners as prosumers to participate in the energy market and deriveeconomic incentives. DERs are inherently asset-driven and face equitablechallenges (i.e., fair, diverse and inclusive). Without equitable access,privileged individuals, groups and organizations can participate and benefit atthe cost of disadvantaged groups. The real-time management of DER resources notonly brings out the equity problem to the IoE, it also collects highlysensitive location, time, activity dependent data, which requires to be handledresponsibly (e.g., privacy, security and safety), for AI-enhanced predictions,optimization and prioritization services, and automated management of flexibleresources. The vision of our project is to ensure equitable participation ofthe community members and responsible use of their data in IoE so that it couldreap the benefits of advances in AI to provide safe, reliable and sustainableenergy services.

RAI4IoE: Responsible AI for Enabling the Internet of Energy