如何编制适合业务的AI

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?

《[2024数智时代的AI素养-内涵、框架与实施路径研究报告](https://waytoagi.feishu.cn/record/Kj9UraRmBeYPdXcRDblcTfDOngb)》由上海外国语大学图书馆发布，探讨了AI素养在数智时代的重要性和演变。报告指出，AI素养不仅涉及技术知识，还包括态度、价值观和应对复杂需求的能力。随着AI技术的广泛应用，社会对AI素养的需求日益增长。其它一些报告发布在[研究报告板块](https://waytoagi.feishu.cn/wiki/WvhZwk16WiEnSvk8AcpcdZetnMe)和[知识星球](https://t.zsxq.com/18DnZxlrl)：AIGCxChina研究院、无界AI：《[中国AIGC文创产业指数（2024）](https://waytoagi.feishu.cn/record/MG2TrgMp5ehQXTcYbFnc5ceSnLg)》《[人工智能的竞争优势：走向情境人工智能理论](https://waytoagi.feishu.cn/record/IiqwrwfIoeL99ecAmXickGmAnyN)》（英文）《[五步打造适合您业务的生成式AI白皮书](https://waytoagi.feishu.cn/record/U1wTr68FleKAOXcW2b3cUW5lnqX)》

Responsible Innovation in Self-Driving Vehicles,CDEI,2022.Explaining decisions made with AI,ICO and the Alan Turing Institute,2021.Software and AI as a Medical Device Change Programme – Roadmap,MHRA,2022.A pro-innovation approach to AI regulationCase Study 3.5:What the principles mean for businesses in practiceA fictional company,“Good AI Recruitment Limited”,provides recruitment services thatuse a range of AI systems to accelerate the recruitment process,including a service thatautomatically shortlists candidates based on application forms.While potentially useful,such systems may discriminate against certain groups that have historically not beenselected for certain positions.After the implementation of the UK’s new AI regulatory framework,the Equality andHuman Rights Commission(EHRC)and the Information Commissioner Office(ICO)willbe supported and encouraged to work with the Employment Agency StandardsInspectorate(EASI)and other regulators and organisations in the employment sector toissue joint guidance.The joint guidance could address the cross-cutting principles relatingto fairness,appropriate transparency and explainability,and contestability and redress inthe context of the use of AI systems in recruitment or employment.Such joint guidancecould,for example,make things clearer and easier for Good AI Recruitment Limited by:3.Suggesting proportionate measures for bias detection,mitigation and monitoring