Artificial Intelligence (AI) is rapidly integrating into various aspects of our daily lives, influencing decision-making processes in areas such as targeted advertising and matchmaking algorithms. As AI systems become increasingly sophisticated, ensuring their transparency and explainability becomes crucial. Functional transparency is a fundamental aspect of algorithmic decision-making systems, allowing stakeholders to comprehend the inner workings of these systems and enabling them to evaluate their fairness and accuracy. However, achieving functional transparency poses significant challenges that need to be addressed. In this paper, we propose a design for user-centered compliant-by-design transparency in transparent systems. We emphasize that the development of transparent and explainable AI systems is a complex and multidisciplinary endeavor, necessitating collaboration among researchers from diverse fields such as computer science, artificial intelligence, ethics, law, and social science. By providing a comprehensive understanding of the challenges associated with transparency in AI systems and proposing a user-centered design framework, we aim to facilitate the development of AI systems that are accountable, trustworthy, and aligned with societal values.

翻译：人工智能（AI）正迅速融入我们日常生活的方方面面，在定向广告和匹配算法等领域影响决策过程。随着AI系统日益复杂，确保其透明度与可解释性变得至关重要。功能透明度是算法决策系统的基本要素，它使利益相关者能够理解这些系统的内部运作，并评估其公平性与准确性。然而，实现功能透明度面临着诸多亟待解决的重大挑战。本文提出了一种以用户为中心的、符合设计规范的透明度系统框架。我们强调，开发透明且可解释的AI系统是一项复杂的多学科任务，需要计算机科学、人工智能、伦理学、法学和社会科学等不同领域研究者的协同合作。通过全面理解AI系统透明度所面临的挑战，并提出以用户为中心的设计框架，我们旨在推动开发出负责任、可信赖且符合社会价值观的AI系统。