Advancing Trustworthy Explainable Artificial Intelligence: Principles, Goals, and Strategies

In the contemporary era, artificial intelligence (AI) has introduced transformative advancements that have significant implications for society. Nevertheless, these advancements come with challenges, notably those associated with opacity, vulnerability, and interpretability. The integration of artificial intelligence (AI) systems into various aspects of human life has become increasingly pervasive. Consequently, there is a growing need to prioritize the development of trustworthy and explainable artificial intelligence (XAI) as a paramount concern within the field. The main purpose of this paper is to explore the paramount importance of XAI, clarify its multifaceted meanings, and outline which consists of a series of guiding principles essential for the development of XAI. These principles simultaneously act as overarching objectives, directing the course towards ensuring transparency, accountability, and reliability in AI systems. Additionally, the paper presents two novel strategies to actualize XAI, by narrowing the difference between AI’s potential and human understanding. By addressing the intricate issues associated with XAI; this study adds to the continuing dialogue on how one might tap into the complete potential of AI technology, ensuring its responsible and ethical implementation in an ever-evolving digital environment.