FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems

The advent of IoT, ubiquitous and smart sensing, and high performance computing has resulted in a big shift in the adoption of data-driven black-box modeling (also referred to as machine/deep learning) to make our environments smarter and energy systems efficient. Several studies have shown that these AI-enabled solutions for smart buildings, smart cities, smart grids, electric transportation, among others are much more accurate and efficient. However, these data-driven black-box solutions are rarely held accountable for the impact of their actions on the human in the loop which significantly impacts their real-world adoption. To truly conceptualize the idea of smart systems for everyone, it is critical to study these AI-enabled smart environments and energy systems for not just efficiency, but also for affordability and accessibility for all. The first ACM SIGEnergy workshop on Fair, Accountable, Transparent, and Ethical AI for Smart Environments and Energy Systems intends to bring together researchers from diverse backgrounds and discuss key issues, challenges, breakthroughs, and socio-economic impact in developing fair, accountable, transparent and ethical AI techniques for smart environments and energy systems.