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Highlights responsible use of Gen AI at Citi, including scaling from lab to operations while managing regulatory and ethical risks. Examines the evolving global regulatory landscape for AI, outlining shared guardrails and country-specific approaches, and describes Gen AI’s potential across financial services in data-rich environments.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/generative-ai-article-doing-the-right-thing-for-business-and-society/500961/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/generative-ai-article-doing-the-right-thing-for-business-and-society/500961.png","ImageObject",300,407,{"name":92,"@type":93},"moss~","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-21","2026-10-03",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",16,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"How does the document define Artificial Intelligence and Generative AI?","Question",{"text":113,"@type":114},"Artificial Intelligence is defined as quantitative methods or systems that emulate human intelligence to generate content or make estimates, predictions, recommendations, or decisions beyond classical approaches. Generative AI is described as a subset that creates new content (such as images, text, audio, video, and code) based on training data and prompts.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Why does Gen AI matter to business and society according to the document?",{"text":118,"@type":114},"The document explains that Gen AI can amplify capabilities such as content creation, text analysis, and conversation with machines. It also notes the need for responsible use because current LLMs introduce meaningful risks.",{"name":120,"@type":111,"acceptedAnswer":121},"What regulatory themes and guardrails for Gen AI are highlighted?",{"text":122,"@type":114},"It outlines global aims such as being safe and trustworthy, transparent and traceable, ethical and nondiscriminatory, and secure and resilient. It also emphasizes human oversight, market integrity and financial stability, and respect for human rights and democratic values.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},500961,1791080960,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":41},962090895452,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Securities Services  \nDoing the Right Thing for Business and Society-Generative AI  \nIn recent years, Artificial Intelligence (AI) and Generative AI (Gen AI) have transitioned from the realm of science fiction to reality.  \nThe concept of intelligent machines can be traced back centuries. But true AI development really started with Alan Turing’s Test for computer intelligence1 and neural networks2 in the 1950s, followed by the development of AI programming languages and microworld programs3 during the 60s.  \nThe following decade witnessed the establishment of fuzzy logic4 in the 70s, and the exploration of symbolic5 and nouvelle6 approaches in the 80s. The 90s brought the Internet and increasing computation power which enabled significant advances in machine learning and evolutionary algorithms.  \nBig data, deep learning, autonomous agents, and language models have led to AI’s ubiquitous entry into everyday life.  \nBut that is all history, fast forward to 2024-where we are now familiar with many Gen AI powered tools that are on the market with capabilities to generate text, write code, create audio, and make images and video on-demand.  \nLarge language models (LLMs) and enhancements in computing power have unlocked new capabilities, allowing us to create content, analyse text, and converse with machines like never before. Such models have been credited by some as kick-starting the current AI boom7, leading to ongoing rapid investment in, and public attention to, the field of AI.  \nWhilst society appears to be assimilating the use of such tools into everyday life, this is not necessarily the case for financial services firms, as there are certain regulatory and ethical guardrails to be honoured.  \nWhat is AI and Gen AI and why does it matter?  \nDefining AI is often a challenge due to AI’s broad scope, quick advancements in the field, and the type of AI in question. In its most basic form, AI is the simulation of human intelligence  \nby machines. More formally, Citi defines Artificial Intelligence and other related concepts to ensure there is consistency in understanding across the organisation.  \nCiti’s definitions  \n‘Artificial Intelligence’ refers to a quantitative method, system, or approach (‘techniques’) that emulates human intelligence via computer programs to generate content (textual, audio, video, or images) and/or make estimates, predictions, recommendations, or decisions in manners that go beyond classical statistical, mathematical, econometric, or financial approaches.  \n‘Generative AI (Gen AI)’, being a subset of AI, which is a type of Artificial Intelligence that creates new content, such as images, text, audio, video, code based on their training data and in response to prompts.  \nGenerative AI systems are designed to generate new and original content that is not explicitly programmed, but rather generated based on patterns and information learned from existing data.  \nWhy it matters  \nDuring a recent podcast ‘Good Things Happen-Artificial Intelligence: What is it and why it matters’  Dr. Prag Sharma, Global Head, AI Centre of Excellence, Citigroup, discussed his stance on the use of Gen AI in business. He talked about the responsible use of Generative AI at Citi, highlighting the potential of this technology along with the risks that the current version of LLMs pose.  \nSeparately, Dr. Sharma provided his thoughts on Citi’s use of Gen AI.  \n Citi has been using AI for a number of years across the bank. The recent emergence of Gen AI has turbocharged these efforts. We are taking Gen AI from the lab to the factory floor-harnessing its power and scaling its use across the firm. We remain on the front foot-empowering our businesses to deploy the technology in areas that will move their businesses forward.  \nOur work with Gen AI is aimed at amplifying the power of our people and is guided by our commitment to transform and strengthen Citi. As we carefully scale and operationalize Gen AI across the firm, we’re also sta","cbCaidCzpYnQym2T","https://ap.wps.com/l/cbCaidCzpYnQym2T","pdf",1099953,12,"English","# Doing the Right Thing for Business and Society\n## What is AI and Gen AI and why does it matter?\n## Citi’s definitions\n## Why it matters\n## The evolving regulatory lens for AI\n## The potential of Gen AI","[{\"question\":\"How does the document define Artificial Intelligence and Generative AI?\",\"answer\":\"Artificial Intelligence is defined as quantitative methods or systems that emulate human intelligence to generate content or make estimates, predictions, recommendations, or decisions beyond classical approaches. Generative AI is described as a subset that creates new content (such as images, text, audio, video, and code) based on training data and prompts.\"},{\"question\":\"Why does Gen AI matter to business and society according to the document?\",\"answer\":\"The document explains that Gen AI can amplify capabilities such as content creation, text analysis, and conversation with machines. It also notes the need for responsible use because current LLMs introduce meaningful risks.\"},{\"question\":\"What regulatory themes and guardrails for Gen AI are highlighted?\",\"answer\":\"It outlines global aims such as being safe and trustworthy, transparent and traceable, ethical and nondiscriminatory, and secure and resilient. It also emphasizes human oversight, market integrity and financial stability, and respect for human rights and democratic values.\"}]","Generative AI Article - Doing the Right Thing for Business and Society | PDF",1791016378]