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support regulators.We will work with regulators to develop guidance that helps them implementthe principles in a way that aligns with our expectations for how the framework should operate.Existing legal frameworks already mandate and guide regulators' actions.For example,nearlyall regulators are bound by the Regulators'Code116and all regulators – as public bodies – arerequired to comply with the Human RightsAct.117Our proposed guidance to regulators will seekto ensure that when applying the principles,regulators are supported and encouraged to:oAdopt a proportionate approach that promotes growth and innovation by focusing on the risksthat AI poses in a particular context.oConsider proportionate measures to address prioritised risks,taking into account cross-cuttingrisk assessments undertaken by,or on behalf of,government.oDesign,implement and enforce appropriate regulatory requirements and,where possible,integrate delivery of the principles into existing monitoring,investigation and enforcementprocesses.oDevelop joint guidance,where appropriate,to support industry compliance with the principlesand relevant regulatory requirements.Connected & Automated Mobility 2025,Department for Transport,2022.Regulators’ Code,Office for Product Safety and Standards,2014.Human Rights Act,HM Government,1998A pro-innovation approach to AI regulationoConsider how tools for trustworthy AI like assurance techniques and technical standards cansupport regulatory compliance.oEngage proactively and collaboratively with government’s monitoring and evaluation of theframework.A pro-innovation approach to AI regulationCase Study 3.7:What this means for businessesA fictional company,“AI Fairness Insurance Limited”,has delayed the deployment of anew AI application as – under the current patchwork of relevant regulatory requirements –it has been challenging to identify appropriate compliance actions for AI-driven insuranceproducts.Following implementation of the UK’s new pro-innovation framework to regulate AI,wecould expect to see joint guidance produced collaboratively by the Information

想要避免AI掉入“幻觉”的陷阱，我们除了优化数据和模型，还可以巧妙地利用“提示词工程”，就像一位经验丰富的驯兽师，用精准指令来引导AI生成更可靠的内容。AI对提示词的理解能力与幻觉的产生密切相关。清晰、具体的提示词能够帮助AI更好地理解我们的意图，从而减少“想当然”的错误。例如，当我们询问AI“第二次世界大战的关键日期”时，如果只是简单地抛出问题，AI可能会根据其记忆中的信息，给出一些似是而非的答案。但如果我们在提示词中明确要求AI“根据可信的历史文献”来回答，并限定时间范围，AI就更有可能给出准确的答案。以下是一些避免AI幻觉的提示词技巧：明确要求AI引用可靠来源:例如，在询问历史事件时，可以要求AI引用权威的历史文献；在询问科学事实时，可以要求AI引用已发表的科研论文；在询问法律条款时，可以要求AI引用官方的法律文件。要求AI提供详细的推理过程:这可以帮助我们理解AI是如何得出结论的，并判断其结论是否合理。例如，在询问数学公式时，可以要求AI展示推导过程；在询问代码功能时，可以要求AI逐行解释代码的含义。明确限制AI的生成范围:例如，在询问名人名言时，可以指定名人的姓名和相关主题；在询问新闻事件时，可以指定事件的时间范围和相关关键词。通过这些技巧，我们可以将提示词变得更加清晰、具体、有针对性，从而引导AI生成更加准确和可靠的内容。当然，提示词工程只是一种辅助手段，要想从根本上解决AI幻觉问题，还需要从数据、模型、训练方法等多个方面进行努力。

• Develop and maintain central regulatory guidance to support regulators in theimplementation of the principles.• Identify barriers that prevent regulators from effectively implementing the principles,such as:○ Scope of regulatory remit.○ Insufficient regulatory powers.○ Insufficient regulatory capabilities.• Identify conflicts or inconsistencies in the way the principles are interpreted acrossregulatory remits,and assess the impact this is having on innovation.Some variationacross regulators’ approaches to implementation is to be expected and encouraged,given the context-based approach that we are taking.• Work with regulators to resolve discrepancies that are having a significant impact oninnovation,and share learning and best practice.• Monitor and assess the ongoing relevance of the principles themselves.RationaleBusinesses have noted that,within a context-based regulatory framework,an appropriatedegree of central leadership is needed to ensure coherence.To be effective,this functionmust be performed centrally,as the whole regulatory landscape needs to be consideredto:• Ensure that,as far as necessary to support innovation,regulators interpret andimplement the principles in a coherent way.A pro-innovation approach to AI regulation• Effectively monitor how well the principles are being implemented,as well as theirongoing relevance.This function will play a central part in delivering a regulatory regime that is:• Clear:by making it easier for businesses working across regulatory remits(forexample,by supporting the development of joint regulatory guidance whereappropriate).• Proportionate and pro-innovation:as it allows government to find and prevent anyapplication of the principles that has a disproportionate or harmful impact on innovation.• Adaptable and trustworthy:as it forms part of the feedback loop established by theM&E function to understand how well the regime operates and whether it should bechanged.• Collaborative:by encouraging cross-government cooperation aligned to the principles.Cross-sectoral riskassessment119Activities•Develop and maintain a cross-economy,society-wide AI risk register to supportregulators’ internal risks assessments.•