哪个AI可以做改革方案

[Character.ai](http://Character.ai)的愿景是“让地球上的每个人都能获得自己的深度个性化超级智能，帮助他们过上最美好的生活”。这意味着每个人都可以拥有像钢铁侠中的Javis一样的人工智能助手，能够帮助他们完成各种任务，成为他们生活中不可或缺的一部分。这种技术的发展将会为人类带来更多的便利和创新，改变人们的生活方式和工作方式。授课教师可以是AI，游戏玩家也可以是AI，情感伴侣可以是AI，……一切的服务都可以被AI重构。

原问题：我有一篇医学课题需要AI帮我给出修改意见，请推荐一个专业的ai工具如果您正在寻找一个专业的AI工具来帮助您修改医学课题，可以考虑使用以下工具：1.Scite.ai：Scite.ai是一个为研究人员、学者和行业专业人员打造的创新平台，旨在增强他们对科学文献的洞察。它提供了一系列工具，如引用声明搜索、自定义仪表板和参考检查，这些都能简化您的学术工作。[https://scite.ai/](https://scite.ai/)2.Scholarcy：Scholarcy是一款科研神器，主要是为做科研、学术、写论文的人准备的。Scholarcy可以从文档中提取结构化数据，并通过知识归纳引擎生成文章概要，精炼地呈现文章的总结信息，分析中包含关键概念、摘要、学术亮点、学术总结、比较分析、局限等板块的内容。[https://www.scholarcy.com/](https://www.scholarcy.com/)3.ChatGPT：ChatGPT是一个强大的自然语言处理模型，可以提供有关医学课题的修改意见。您可以向它提供您的文章，并提出您的问题和需求，它将尽力为您提供帮助。[https://chat.openai.com/](https://chat.openai.com/)

oReflected stakeholder feedback by expanding on concepts such as robustness and governance.We have also considered the results of public engagement research that highlighted anPlan for Digital Regulation,DSIT(formerly DCMS),2021.The Taskforce on Innovation,Growth and Regulatory Reform independent report,10 Downing Street,2021.The reportargues for UK regulation that is:proportionate,forward-looking,outcome-focussed,collaborative,experimental,andresponsive.Closing the gap:getting from principles to practices for innovation friendly regulation,Regulatory Horizons Council,2022.Pro-innovation Regulation of Technologies Review:Digital Technologies,HM Treasury,2023.Establishing a pro-innovation approach to regulating AI,Office for Artificial Intelligence,2022.A pro-innovation approach to AI regulationexpectation for principles such as transparency,fairness and accountability to be included withinan AI governanceframework.91oMerged the safety principle with security and robustness,given the significant overlap betweenthese concepts.oBetter reflected concepts of accountability and responsibility.oRefined each principle’s definition and rationale.Principle Safety,Security and RobustnessDefinitionandexplanationAI systems should function in a robust,secure and safe way throughout theAI life cycle,and risks should be continually identified,assessed andmanaged.Regulators may need to introduce measures for regulated entities to ensurethat AI systems are technically secure and function reliably as intendedthroughout their entire life cycle.Rationalefor theprincipleThe breadth of possible uses for AI and its capacity to autonomously developnew capabilities and functions mean that AI can have a significant impact onsafety and security.Safety-related risks are more apparent in certaindomains,such as health or critical infrastructure,but they can materialise inmany areas.Safety will be a core consideration for some regulators andmore marginal for others.However,it will be important for all regulators toassess the likelihood that AI could pose a risk to safety in their sector or