[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-254330-105":53,"doc-detail-254330-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","mctd-generativeai-report-web-policy-brief","MCTD-GenerativeAI-Report-WEB - Policy Brief","","This policy brief examines how the UK should build national capability for generative AI amid rapid model deployment and rising public concerns about economic and social impacts. It surveys what generative AI can do and how it works, highlights key limitations, and contrasts foundation models with applications while addressing the economics of deployment. The brief assesses risks, ethics, privacy, data governance, regulatory capacity, and international leadership, then presents recommendations to strengthen governance and productivity through a safer, responsible, and ethical national approach.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":41,"@type":70,"position":76},"https://docshare.wps.com/template/letters/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/mctd-generativeai-report-web-policy-brief/254330/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/mctd-generativeai-report-web-policy-brief/254330.png","ImageObject",442,249,{"name":88,"@type":89},"Putri","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-22","2026-09-13",true,{"@type":98,"interactionType":99,"userInteractionCount":15},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the central policy question addressed in the foreword?","Question",{"text":108,"@type":109},"Which path the UK should take to build national capability for generative AI and how to manage its deployment responsibly over the long term.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What policy approach do the authors recommend for the UK?",{"text":113,"@type":109},"They argue the UK should aim to become a global leader in applying generative AI to the economy by supporting the ecosystem of startups that build applications, rather than relying on public support for building new foundation models.",{"name":115,"@type":106,"acceptedAnswer":116},"Which governance and capability areas does the brief focus on?",{"text":117,"@type":109},"It covers risks, ethical and responsible use, personal data and privacy, data governance, regulatory capacity, and international leadership, and then provides recommendations for building governance and capability.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},254330,1790130524,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":40,"category_name":41,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":15,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":25},962085571259,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Policy Brief:  \nGENERATIVE AI  \nDr Ann Kristin Glenster & Sam Gilbert  \nThis report is authored by:  \nDr Ann Kristin Glenster  \nMinderoo Centre for Technology and Democracy  \nSam Gilbert  \nBennett Institute for Public Policy October 2023  \nAbout ai@cam  \nThe University of Cambridge aspires to be a global leader in AI research, an innovator in AI education, and a hub that connects research with business, civil society, and policy, supporting the deployment of AI technologies for wider social and economic benefit. Its vision is of AI-enabled innovations that benefit society, created through interdisciplinary research that is deeply connected to real-world [needs. ai@cam is the University of Cambridge](needs. ai@cam is the University of Cambridge)’s flagship mission to deliver this vision, driving a new wave of AI innovation that serves science, citizens, and society.  \nMore [information:](information: ai.cam.ac.uk)[ ai.cam.ac.uk](information: ai.cam.ac.uk)  \nAbout the Bennett Institute for Public Policy  \nThe Bennett Institute for Public Policy is one of the UK’s leading public policy institutes, achieving significant impact through its high-quality research. Our goal is to rethink public policy in an era of turbulence and inequality. Our research connects the world-leading work in technology and science at the University of Cambridge with the economic and political dimensions of policymaking. We are committed to outstanding teaching, policy engagement, and to devising sustainable and long-lasting solutions.  \nMore [information:](information: www.bennettinstitute.cam.ac.uk)[ www.bennettinstitute.cam.ac.uk](information: www.bennettinstitute.cam.ac.uk)  \nAbout the Minderoo Centre for Technology and Democracy  \nThe Minderoo Centre for Technology and Democracy is an independent team of academic researchers at the University of Cambridge, who are radically rethinking the power relationships between digital technologies, society and our planet.  \nMore [information:](information: www.mctd.ac.uk)[ www.mctd.ac.uk](information: www.mctd.ac.uk)  \n[DOI:](DOI: doi.org/10.17863/CAM.101918)[ doi.org/10.17863/CAM.101918](DOI: doi.org/10.17863/CAM.101918)  \nCONTENTS  \nFOREWORD 4  \nEXECUTIVE SUMMARY 6  \n1. INTRODUCTION 8  \n2. GENERATIVE AI 10  \n2.1 What is generative AI capable of and how does it work? 10  \n2.2 Generative AI’s limitations 11  \n2.3 Foundation models vs applications 11  \n2.4 The economics of generative AI 11  \n3. PRODUCTIVITY AND GENERATIVE AI 16  \n3.1 Foundation model leadership 17  \n3.2 Real-world applications of foundation models 18  \n4. IMPEDIMENTS TO DEVELOPING THE UK’S NATIONAL 22 CAPABILITIES IN GENERATIVE AI  \n4.1 Risks with generative AI 25  \n4.2 Ethical and responsible generative AI 26  \n4.3 Personal data and privacy concerns 28  \n4.4 Data governance 29  \n4.5 Regulatory capacity 30  \n4.6 International leadership 31  \n5. RECOMMENDATIONS TO BUILD CAPABILITY IN GENERATIVE AI 33  \nABOUT THE AUTHORS 36  \nAPPENDIX 37  \nSELECTED BIBLIOGRAPHY 38  \nFOREWORD  \nWhich path should the UK take to build national capability for generative AI?  \nThe rapid rollout of generative AI models, and public attention to Open AI’s ChatGPT, has raised concerns about AI’s impact on the economy and society. In the UK, policy makers are looking to large language models and other so-called foundation models as ways to potentially improve economic productivity.  \nThis policy brief from Dr Ann Kristin Glenster and Sam Gilbert outlines which policy levers could support those goals. They argue that the UK should pursue becoming a global leader in applying generative AI to the economy. Rather than use public support for building new foundation models, the UK could support the growing ecosystem of startups that develop new applications for these models, creating new products and services.  \nA UK approach to generative AI could leverage the existing national strengthsin safe, responsible and ethical AI to put human safety and flourishing atthe forefront of inn","cbCaimQJqLHTjLrJ","https://ap.wps.com/l/cbCaimQJqLHTjLrJ","pdf",3340484,43,"English","# Foreword\n## Executive Summary\n# Introduction\n# Generative AI\n## What generative AI can do and how it works\n## Generative AI’s limitations\n## Foundation models vs applications\n## The economics of generative AI\n# Productivity and Generative AI\n## Foundation model leadership\n## Real-world applications of foundation models\n# Impediments to developing the UK’s national capabilities in generative AI\n## Risks with generative AI\n## Ethical and responsible generative AI\n## Personal data and privacy concerns\n## Data governance\n## Regulatory capacity\n## International leadership\n# Recommendations to build capability in generative AI\n# About the Authors\n# Appendix\n## Selected Bibliography","[{\"question\":\"What is the central policy question addressed in the foreword?\",\"answer\":\"Which path the UK should take to build national capability for generative AI and how to manage its deployment responsibly over the long term.\"},{\"question\":\"What policy approach do the authors recommend for the UK?\",\"answer\":\"They argue the UK should aim to become a global leader in applying generative AI to the economy by supporting the ecosystem of startups that build applications, rather than relying on public support for building new foundation models.\"},{\"question\":\"Which governance and capability areas does the brief focus on?\",\"answer\":\"It covers risks, ethical and responsible use, personal data and privacy, data governance, regulatory capacity, and international leadership, and then provides recommendations for building governance and capability.\"}]","MCTD-GenerativeAI-Report-WEB - Policy Brief | PDF",1789277850]