让机器人决策透明化，增强信任与责任。
Towards Transparent Ethical AI: A Roadmap for Trustworthy Robotic Systems
- 提出透明性框架，连接技术实现与伦理考量。
- 强调透明度提升公众信任与监管可行性。
- 适合关注伦理AI与可信机器人研究者。
随着人工智能与机器人技术日益融入社会，确保其行为的伦理性至关重要。本文认为，AI决策过程的透明性是构建可信赖、符合伦理的机器人系统的基础。通过提升透明度，可促进问责机制、实现知情同意，并支持对伦理算法的调试。论文剖析了在技术、伦理与实践层面实现透明性的挑战，提出了标准化指标、可解释AI技术及用户友好界面等新方法。所提出的框架聚焦于动态真实环境中的透明性实现难题，分析了透明性优先策略对公众信任、政策制定及未来研究方向的影响。本文主张将透明性作为伦理AI系统设计的核心要素，为负责任的AI与机器人发展提供方向。
原文摘要 · Abstract (English)
As artificial intelligence (AI) and robotics increasingly permeate society, ensuring the ethical behavior of these systems has become paramount. This paper contends that transparency in AI decision-making processes is fundamental to developing trustworthy and ethically aligned robotic systems. We explore how transparency facilitates accountability, enables informed consent, and supports the debugging of ethical algorithms. The paper outlines technical, ethical, and practical challenges in implementing transparency and proposes novel approaches to enhance it, including standardized metrics, explainable AI techniques, and user-friendly interfaces. This paper introduces a framework that connects technical implementation with ethical considerations in robotic systems, focusing on the specific challenges of achieving transparency in dynamic, real-world contexts. We analyze how prioritizing transparency can impact public trust, regulatory policies, and avenues for future research. By positioning transparency as a fundamental element in ethical AI system design, we aim to add to the ongoing discussion on responsible AI and robotics, providing direction for future advancements in this vital field.
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