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.

翻译：本研究致力于推进负责任的人工智能（AI）概念，这一课题在欧盟政策讨论中日益重要。欧盟近期发布多份出版物，强调对AI建立信任的必要性，并突出AI作为有益工具与潜在武器的双重属性。这种二元性凸显了国际监管的紧迫性。与此同时，亟需构建引导企业进行AI开发的框架，确保其符合此类法规。本研究旨在协助立法者与机器学习从业者应对不断演变的AI监管格局，识别需重点关注的未来领域。本文提出首个（据我们所知）统一的负责任AI定义，并通过结构化文献综述阐明当前对负责任AI的理解。基于此分析，我们提出围绕该概念构建未来框架的路径。研究结果主张采取以人为中心的负责任AI方法，该方法包括在伦理、模型可解释性以及隐私、安全与信任支柱方面强化AI方法的实施。