  Our research endeavors to advance the concept of responsible artificial
intelligence (AI), a topic of increasing importance within EU policy
discussions. The EU has recently issued several publications emphasizing the
necessity of trust in AI, underscoring the dual nature of AI as both a
beneficial tool and a potential weapon. This dichotomy highlights the urgent
need for international regulation. Concurrently, there is a need for frameworks
that guide companies in AI development, ensuring compliance with such
regulations. Our research aims to assist lawmakers and machine learning
practitioners in navigating the evolving landscape of AI regulation,
identifying focal areas for future attention. This paper introduces a
comprehensive and, to our knowledge, the first unified definition of
responsible AI. Through a structured literature review, we elucidate the
current understanding of responsible AI. Drawing from this analysis, we propose
an approach for developing a future framework centered around this concept. Our
findings advocate for a human-centric approach to Responsible AI. This approach
encompasses the implementation of AI methods with a strong emphasis on ethics,
model explainability, and the pillars of privacy, security, and trust.
