使用AI过程中如何确保信息的保密性？

例如，如果你正在使用AI进行数据分析，你可能需要将数据清洗、数据提取、模型选择、模型训练和结果解释等环节分开处理。这样做的好处是，你可以针对每个环节优化AI的性能，同时也便于发现和修正问题。还有一种是针对复杂的问题，律师可以采用逐步深化和细化的方式提问。先提出一个较为宽泛的问题，然后根据AI的回答进一步细化或深化问题。这种方法有助于律师逐步深入了解问题的各个方面。例如，在处理一起知识产权侵权案件时，律师可以先问：“这起案件中，被告是否构成侵权？”然后根据AI的回答进一步提问：“如果构成侵权，那么侵权的类型和程度是怎样？”给AI参考和学习的内容让他理解结构和学习，写出流程，写出knowhowAI系统通常需要大量的数据和示例来学习和理解任务的结构。提供高质量的参考材料和学习内容是提高AI性能的关键。这可能包括详细的操作指南、行业最佳实践、案例研究等。同时，编写详细的流程和知识（knowhow）也很重要，这不仅能帮助AI更好地理解任务，也能为人类用户提供指导。例如，在自动化文档处理中，你可以编写一个详细的指南，说明如何处理不同类型的文档，以及如何使用AI工具来提高效率。利用专业领域的术语引导在Prompt中使用法律术语来引导AI的回答方向。比如，在处理合同纠纷时，律师可以提示：“从合同签订条件、排他性合作和违约责任三个方面分析该合同的履行情况。”这样的引导有助于AI更精准地提供所需信息。验证与反馈大模型的语料存在一定滞后性，在使用AI的回答后，律师一定要对内容进行交叉验证，确保信息的准确性。同时，律师在使用AI时，还应结合自身的专业知识进行引导。通过专业知识对AI的回答进行筛选和判断，确保其符合我国法律伦理、立法目的和实务。

You should be protected from abusive data practices via built-in protections and you should have agency over how data about you is used.You should be protected from violations of privacy through design choices that ensure such protections are included by default,including ensuring that data collection conforms to reasonable expectations and that only data strictly necessary for the specific context is collected.Designers,developers,and deployers of automated systems should seek your permission and respect your decisions regarding collection,use,access,transfer,and deletion of your data in appropriate ways and to the greatest extent possible;where not possible,alternative privacy by design safeguards should be used.Systems should not employ user experience and design decisions that obfuscate user choice or burden users with defaults that are privacy invasive.Consent should only be used to justify collection of data in cases where it can be appropriately and meaningfully given.Any consent requests should be brief,be understandable in plain language,and give you agency over data collection and the specific context of use;current hard-to-understand notice-and-choice practices for broad uses of data should be changed.Enhanced protections and restrictions for data and inferences related to sensitive domains,including health,work,education,criminal justice,and finance,and for data pertaining to youth should put you first.In sensitive domains,your data and related inferences should only be used for necessary functions,and you should be protected by ethical review and use prohibitions.You and your communities should be free from unchecked surveillance;surveillance technologies should be subject to heightened oversight that includes at least pre-deployment assessment of their potential harms and scope limits to protect privacy and civil liberties.Continuous surveillance and monitoring should not be used in education,work,housing,or in other contexts where the use of such surveillance technologies is likely to limit rights,opportunities,or access.Whenever possible,you should have access to reporting that confirms your data decisions have been respected and provides an assessment of the potential impact of surveillance technologies on

Require that developers of the most powerful AI systems share their safety test results and other critical information with the U.S.government.In accordance with the Defense Production Act,the Order will require that companies developing any foundation model that poses a serious risk to national security,national economic security,or national public health and safety must notify the federal government when training the model,and must share the results of all red-team safety tests.These measures will ensure AI systems are safe,secure,and trustworthy before companies make them public.Develop standards,tools,and tests to help ensure that AI systems are safe,secure,and trustworthy.The National Institute of Standards and Technology will set the rigorous standards for extensive red-team testing to ensure safety before public release.The Department of Homeland Security will apply those standards to critical infrastructure sectors and establish the AI Safety and Security Board.The Departments of Energy and Homeland Security will also address AI systems’threats to critical infrastructure,as well as chemical,biological,radiological,nuclear,and cybersecurity risks.Together,these are the most significant actions ever taken by any government to advance the field of AI safety.Protect against the risks of using AI to engineer dangerous biological materials by developing strong new standards for biological synthesis screening.Agencies that fund life-science projects will establish these standards as a condition of federal funding,creating powerful incentives to ensure appropriate screening and manage risks potentially made worse by AI.Protect Americans from AI-enabled fraud and deception by establishing standards and best practices for detecting AI-generated content and authenticating official content.The Department of Commerce will develop guidance for content authentication and watermarking to clearly label AI-generated content.Federal agencies will use these tools to make it easy for Americans to know that the communications they receive from their government are authentic—and set an example for the private sector and governments around the world.