Responsible AI — AI for Social Good and Sustainability

Abstract

Artificial Intelligence (AI) has become a revolutionary technology that can cope with challenging issues of society and the environment. Nevertheless, the swift implementation of AI systems also triggered the ethical, social, and environmental issues, such as biases in the algorithm, a lack of transparency, uneven access, and a high level of energy usage. Responsible AI focuses on the development, design, and implementation of ethical, accountable, transparent, inclusive, and sustainable AI systems.  In this paper, the author suggests a detailed model of Responsible AI to Social Good and Sustainability that incorporates the ethical governance, fairness, explainability, stakeholder involvement, and environment-awareness. Our review focuses on the existing literature covering AI use in social good, covering healthcare, environmental monitoring, smart cities, and community welfare and explains technical and socio-ethical issues. The framework brings in the multi-layered structure that includes data governance, model construction, deployment, impact assessment, and feedback process to guarantee quantifiable social and ecological results. Moreover, we discuss evaluation metrics, case studies, and strategies of implementation on how AI can be aligned with the United Nations Sustainable Development Goals (SDGs). Lastly, we list challenges, research gaps, and directions to go in order to develop Responsible AI as a useful working tool towards benefiting society, keeping it ecologically sustainable, and cordially advancing technology.