LEAP - Legal Ecosystem for AI Proliferation

Leap是人工智能扩散的法律生态系统。人工智能领域的创新及其对当前和新兴行业的潜在影响不可低估。这项创新的速度意味着影响几乎不被理解。LEAP项目旨在通过使用一套标准化合同、许可证、风险分析和最佳实践来降低人工智能开发和采用的风险。具体创新包括：*LEAP风险分析：对人工智能对AI开发者和AI用户构成的风险进行对抗性理解。*LEAP合同模板：记录和开发一套合同和许可证，目的是将已识别的风险降至最低。*LEAP证书：开发一个平台，用于生成和检查以机器可读形式体现合同的数字证书，并可用于确定此类许可证在整个价值链中的兼容性。*LEAP采用流程：开发一个流程，该流程可以为AI开发人员和用户的业务需求和抱负推荐一套理想的合同/许可证。*LEAP是一个订阅平台，其模块可供AI开发人员和受AI影响的最终用户应用程序使用。在快速发展的AI生态系统中，我们尚未建立例如，如果ChatGPT或MidTrial侵犯了他们接受培训(未经同意)的数据所有者的IP，我们不知道谁应为AI和AI代理所犯的任何错误负责，显然，如果我们要成功，这是需要关注的地方。人工智能系统审计(如财务审计)有合同支持，合同规定了过程的责任范围限制。任何人工智能系统的有效性或偏见评估，同样与其所应用的应用程序高度相关，并在签署的合同或给予的许可证中最终同样有效。稳健性测试也是如此。LEAP是一种改变游戏规则的干预措施，它为开放和商业生态系统提供风险分析和模板许可证和合同。我们已经组建了人工智能和法律框架方面的专家组合，并有提供变化的记录。LEAP将提供人工智能保证框架，可以在坚实的基础上支撑英国的人工智能创新抱负。

LEAP is the Legal Ecosystem for AI Proliferation. Innovation in AI and the potential impact it is having on current and emerging industries cannot be underestimated. The speed of this innovation means the impacts are barely understood.The LEAP project aims to de risk AI development and adoption through the use of a suite of standardised contracts, licenses, risk analysis and best practices.The specific innovation includes:* LEAP risk analysis: an adversarial understanding of the risks AI poses to both AI developers and AI users.* LEAP contract templates: document and develop a suite of contracts and licenses with the aim of minimising the identified risks.* LEAP certificates: develop a platform for generating and inspecting digital certificates that embody the contracts in a machine readable form, and which can be used in concert to determine the compatibility of such licenses across the value chain.* LEAP adoption process: develop a process which can recommend an ideal set of contracts/licenses for the business requirements and aspiration of the AI developer and user.* LEAP is a subscription platform, with modules available for both AI developers and end user applications impacted by AI.In a rapidly developing AI ecosystem, where we have not yet established for example, if ChatGPT or Midjourney are infringing the IP of the data owners on which they were trained (without consent), where we do not know who is liable for any mistake that and AI agent makes, it is clear that this is where focus is needed if we are to succeed.An AI system audit (like a financial audit) is backed by contract stating the scope limits of liability of the process. Any AI system evaluation for efficacy or bias, similarly is highly contextual to the application to which it is being put and similarly effective finally in the contract signed or license given. And the same applies for robustness testing.LEAP is a game changing intervention, which provides risk analysis and template licenses and contracts for both open and commercial ecosystems.We have assembled a portfolio of experts in both AI and legal frameworks, with a track record delivering change.LEAP will provide the AI assurance framework that can underpin the UK's AI innovation aspirations on sound foundations.