Artificial Empathetic Intelligence for Leadership in Energy and Environmental Design Buildings

Abstract

The modern era of advanced communications and electronic structures yields with steady steps the enhanced implementation of smart “leadership in energy and environmental design” (LEED) buildings with artificial intelligence (AI) structures. These structures need development through various studied steps. In this paper, we propose a holistic design of these buildings ranging from the compatibility of people with these kinds of structures to the impact on their health (in times of pandemics such as Covid-19). Moreover, we propose a viable scheme of an AI environment (inside LEED buildings), which includes virtual empathetic companion and colleague versions. This scheme relies on a proposed algorithmic logic of iterations for the best possible machine learning. Specifically, we first describe the iterative architecture of the proposed AI entity consisting of 5 sectors. Then, we present the proposed machine learning pipeline (MLP) that comprises these 5 sectors. Afterward, we give the 7-stage empathetic essence that should reside inside the MLP. Finally, we exhibit a proposed experiment besides our case study under development. Then, after implementation, the acquired technological experience can lead to a more exquisite version of AI software robots that could be adaptable to several labor and safety protocols.