The use of algorithms is increasing across various fields such as healthcare, justice, finance, and education. This growth has significantly accelerated with the advent of Artificial Intelligence (AI) technologies based on Large Language Models (LLMs) since 2022. This expansion presents substantial challenges related to accountability, ethics, and transparency. This article explores the potential of the Digital Object Identifier (DOI) to identify algorithms, aiming to enhance accountability, transparency, and reliability in their development and application, particularly in AI agents and multimodal LLMs. The use of DOIs facilitates tracking the origin of algorithms, enables audits, prevents biases, promotes research reproducibility, and strengthens ethical considerations. The discussion addresses the challenges and solutions associated with maintaining algorithms identified by DOI, their application in API security, and the proposal of a cryptographic authentication protocol.

翻译：算法在医疗、司法、金融和教育等领域的应用日益广泛。自2022年以来，基于大语言模型（LLMs）的人工智能（AI）技术的出现，显著加速了这一增长趋势。这种扩张带来了关于问责制、伦理与透明度的重大挑战。本文探讨了利用数字对象标识符（DOI）来标识算法的潜力，旨在提升算法开发与应用过程中的问责性、透明度与可靠性，特别是在AI智能体与多模态LLMs中。DOI的使用有助于追踪算法来源、支持审计、防止偏见、促进研究可复现性，并加强伦理考量。本文讨论了与维护DOI标识算法相关的挑战与解决方案，其在API安全中的应用，以及一种密码学认证协议的提案。