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.

我们的研究旨在推进负责任的人工智能（AI）的概念，这是欧盟政策讨论中日益重要的主题。我们提出了一种全面且目前为止我们所知的第一个负责任 AI 的统一定义。通过结构化文献综述，我们阐明了关于负责任 AI 的当前理解，并基于该分析提出了未来以此概念为中心的框架发展方法。我们的发现支持以人为中心的负责任 AI 方法，其中包括以伦理、模型可解释性以及隐私、安全和信任为支柱的 AI 方法的实施。