{"title":"Governance in the age of artificial intelligence: A comparative analysis of policy framework in BRICS nations","authors":"Animesh Kumar Sharma, Rahul Sharma","doi":"10.1002/aaai.70010","DOIUrl":null,"url":null,"abstract":"<p>This study investigates the dynamic landscape of governance frameworks for emerging technologies, particularly artificial intelligence (AI), within the context of public policy in expanded BRICS nations (Brazil, Russia, India, China, South Africa, Egypt, Ethiopia, Iran, and the United Arab Emirates). Understanding the ethical implications and crafting policy tools to guide the development and deployment of AI is crucial. Analyzing findings from AI policy initiatives, this research delves into managing new technologies, emphasizing the evolving discourse on AI ethics. It stresses the importance of embedding ethical considerations into governance frameworks to address societal concerns and foster responsible AI advancement. Additionally, strong legal frameworks are essential, striking a balance between fostering innovation and ensuring accountability, thereby enhancing confidence and transparency in AI systems. This study underscores the significance of public policy in shaping AI governance, advocating for inclusive, participatory approaches involving stakeholders from diverse sectors. Adaptive governance frameworks capable of navigating the evolving AI landscape and its societal ramifications are emphasized. A holistic governance strategy based on insights from AI policy is recommended, aiming to reconcile innovation with ethical, legal, and societal considerations. Policymakers are urged to foster stakeholder engagement, ensuring that AI advancements benefit society while upholding ethical, just, and accountable standards.</p>","PeriodicalId":7854,"journal":{"name":"Ai Magazine","volume":"46 2","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aaai.70010","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ai Magazine","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/aaai.70010","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the dynamic landscape of governance frameworks for emerging technologies, particularly artificial intelligence (AI), within the context of public policy in expanded BRICS nations (Brazil, Russia, India, China, South Africa, Egypt, Ethiopia, Iran, and the United Arab Emirates). Understanding the ethical implications and crafting policy tools to guide the development and deployment of AI is crucial. Analyzing findings from AI policy initiatives, this research delves into managing new technologies, emphasizing the evolving discourse on AI ethics. It stresses the importance of embedding ethical considerations into governance frameworks to address societal concerns and foster responsible AI advancement. Additionally, strong legal frameworks are essential, striking a balance between fostering innovation and ensuring accountability, thereby enhancing confidence and transparency in AI systems. This study underscores the significance of public policy in shaping AI governance, advocating for inclusive, participatory approaches involving stakeholders from diverse sectors. Adaptive governance frameworks capable of navigating the evolving AI landscape and its societal ramifications are emphasized. A holistic governance strategy based on insights from AI policy is recommended, aiming to reconcile innovation with ethical, legal, and societal considerations. Policymakers are urged to foster stakeholder engagement, ensuring that AI advancements benefit society while upholding ethical, just, and accountable standards.
期刊介绍:
AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.