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to AI regulationMarch 2023CP 815A pro-innovation approachto AI regulationPresented to Parliamentby the Secretary of State for Science,Innovation and Technologyby Command of His MajestyMarch 2023CP 815© Crown copyright 2023This publication is licensed under the terms of the Open Government Licence v3.0 except where otherwise stated.To view this licence,visit nationalarchives.gov.uk/doc/open-government-licence/version/3.Where we have identified any third-party copyright information you will need to obtain permission from thecopyright holders concerned.This publication is available at www.gov.uk/official-documents.Any enquiries regarding this publication should be sent to us at:evidence@officeforai.gov.ukISBN 978-1-5286-4009-1E02886733 03/23Printed on paper containing 40% recycled fibre content minimumPrinted in the UK by HH Associates Ltd.on behalf of the Controller of His Majesty’s Stationery OfficeCORRECTION SLIPTitle:A pro-innovation approach to AI regulationSession:2022−23CP 815ISBN:978-1-5286-4009-1Correction:Text currently reads in Annex C:2.What other transparency measures would be appropriate,if any?L3.If you work for a business that develops,uses,or sells AI,how do you currently manage AI riskincluding through the wider supply chain?How could government support effective AI-related riskmanagement?Foundation models and the regulatory frameworkF1.What specific challenges will foundation models such as large language models(LLMs)or open-source models pose for regulators trying to determine legal responsibility for AI outcomes?F2.Do you agree that measuring compute provides a potential tool that could be considered as part ofthe governance of foundation models?F3.Are there other approaches to governing foundation models that would be more effective?AI sandboxes and testbedsS1.To what extent would the sandbox models described in section 3.3.4 support innovation?

also avoiding placing unnecessary regulatory burdens on those deploying AI.To ensure our regulatory framework is effective,we will leverage the expertise of our world classregulators.They understand the risks in their sectors and are best placed to take a proportionateapproach to regulating AI.This will mean supporting innovation and working closely with business,butalso stepping in to address risks when necessary.By underpinning the framework with a set ofprinciples,we will drive consistency across regulators while also providing them with the flexibilityneeded.For innovators working at the cutting edge and developing novel technologies,navigating regulatoryregimes can be challenging.That’s why we are confirming our commitment to taking forward a keyrecommendation made by Sir Patrick Vallance to establish a regulatory sandbox for AI.This will bringtogether regulators to support innovators directly and help them get their products to market.Thesandbox will also enable us to understand how regulation interacts with new technologies and refinethis interaction where necessary.Having exited the European Union we are free to establish a regulatory approach that enables us toestablish the UK as an AI superpower.It is an approach that will actively support innovation whileA pro-innovation approach to AI regulationaddressing risks and public concerns.The UK is home to thriving start-ups,which our framework willsupport to scale-up and compete internationally.Our pro-innovation approach will also act as a strongincentive when it comes to AI businesses based overseas establishing a presence in the UK.The whitepaper sets out our commitment to engaging internationally to support interoperability across differentregulatory regimes.Not only will this ease the burden on business but it will also allow us to embed ourvalues as global approaches to governing AI develop.Our approach relies on collaboration between government,regulators and business.Initially,we do notintend to introduce new legislation.By rushing to legislate too early,we would risk placing undueburdens on businesses.But alongside empowering regulators to take a lead,we are also setting

在tob领域，目前看到比较成体系的主要有这几类：1）一类是智能办公这类产品价值点主要体现在办公垂域场景中，比如办公场景下，需要快速总结群聊内容或会议信息，那就可以把群聊记录丢给大模型，让其总结出个一二三四出来。或者需要写个公文但没有思路时，ai给出的结构模板参考等。2）一类是智能客服这类产品通常借助agent来实现，接入企业的QA知识库，对用户的信息予以回应。并且依据用户的回答，下达诸如取消订单、催快递之类的action指令。3）一类是AI导购这类产品主要在用户和商家之间发挥作用。以往的商品搜索体验，往往是商家猜测用户会搜索的标签，用户猜测商家设置的标签。然而运用AI导购，能够依据用户的问题，结合产品的介绍和评论信息等，为用户推荐更为准确、精准的产品。比如，用户期望购买一个能容纳三个篮球的篮球背包。按照以往的流程，用户需要先查询能装下三个篮球的背包所需的容量，然后再在平台上搜索对应容量的背包。而使用AI导购，就能够将这一整个过程完全交由AI来处理。4）一类是智能营销此类别主要应用于营销环节，通过AIGC生成一些话术、物料、口播等内容，有些还会融入用户的个性化元素，以指导物料的生成。5）一类是智能人力资源目前，这类主要利用模型进行一些诸如简历初筛、JD自动生成、数据分析等工作。