The research investigates the crucial role of clear and intelligible terms of service in cultivating user trust and facilitating informed decision-making in the context of AI, in specific GenAI. It highlights the obstacles presented by complex legal terminology and detailed fine print, which impede genuine user consent and recourse, particularly during instances of algorithmic malfunctions, hazards, damages, or inequities, while stressing the necessity of employing machine-readable terms for effective service licensing. The increasing reliance on General Artificial Intelligence (GenAI) tools necessitates transparent, comprehensible, and standardized terms of use, which facilitate informed decision-making while fostering trust among stakeholders. Despite recent efforts promoting transparency via system and model cards, existing documentation frequently falls short of providing adequate disclosures, leaving users ill-equipped to evaluate potential risks and harms. To address this gap, this research examines key considerations necessary in terms of use or terms of service for Generative AI tools, drawing insights from multiple studies. Subsequently, this research evaluates whether the terms of use or terms of service of prominent Generative AI tools against the identified considerations. Findings indicate inconsistencies and variability in document quality, signaling a pressing demand for uniformity in disclosure practices. Consequently, this study advocates for robust, enforceable standards ensuring complete and intelligible disclosures prior to the release of GenAI tools, thereby empowering end-users to make well-informed choices and enhancing overall accountability in the field.

翻译：本研究探讨了在人工智能，特别是生成式人工智能（GenAI）背景下，清晰易懂的服务条款对于培养用户信任和促进知情决策的关键作用。它强调了复杂法律术语和详细细则所带来的障碍，这些障碍阻碍了真正的用户同意与追索，尤其是在算法故障、危害、损害或不公事件发生时，同时强调了采用机器可读条款以实现有效服务许可的必要性。对通用人工智能（GenAI）工具日益增长的依赖，要求其使用条款具备透明性、可理解性和标准化，从而促进知情决策并培养利益相关者之间的信任。尽管近期通过系统和模型卡片等方式推动了透明度，现有文档往往未能提供充分披露，致使用户难以评估潜在风险与危害。为弥补这一差距，本研究基于多项研究，探讨了生成式人工智能工具使用条款或服务条款中必需的关键考量因素。随后，本研究依据已识别的考量因素，评估了主流生成式人工智能工具的使用条款或服务条款。研究结果表明，文档质量存在不一致性和差异性，这揭示了对披露实践统一性的迫切需求。因此，本研究主张建立强有力的、可执行的标准，确保在发布GenAI工具之前提供完整且易于理解的披露，从而赋能终端用户做出明智选择，并增强该领域的整体问责制。