[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-83277-en":3,"doc-seo-83277-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},83277,13056703019662,"Evangeline","https://ap-avatar.wpscdn.com/avatar/be000253a8e92610077?_k=1778726343310543188",8,"Research & Report","Towards Agentic AI Governance A Preliminary Assessment","Artificial intelligence is rapidly evolving from generative systems to agentic AI that can autonomously plan and execute tasks. Marked as the “Year of Agentic AI,” 2025 accelerated development and deployment, bringing new ethical and governance challenges. This paper delivers a systematic review of emerging research on agentic AI governance, distinguishing agentic AI from traditional systems, synthesizing governance priorities and stakeholder roles, and proposing an initial foundation for a structured, responsible, adaptive governance roadmap.","Preprint: This paper was accepted and presented at the International Conference on the AI Revolution: Research, Ethics, and Society (AIR-RES 2026) The conference proceedings will be published by Springer Nature  \nTowards Agentic AI Governance: A Preliminary  \nAssessment  \nMubarak Raji[0009-0003-0287-4393] and Masooda Bashir [0000-0001-8299-3111]  \nSchool of Information Sciences, University of Illinois at Urbana-Champaign, IL, 61820 USA {[mraji2@illinois.edu](mraji2@illinois.edu) ; mnb@ [illinois.edu}](illinois.edu})  \nAbstract. Artificial intelligence is rapidly evolving from generative systems to agentic AI capable of autonomously planning and executing tasks. Widely characterized as the “Year of Agentic AI,” 2025 marked accelerated development and deployment, introducing new ethical and governance challenges. This paper presents a systematic review of the emerging literature on agentic AI governance.  \nOur analysis identifies features that distinguish agentic AI from traditional systems and why it warrants targeted governance attention. We synthesize prevailing governance priorities, proposed mechanisms, and stakeholder roles shaping this evolving domain. As an initial scholarly effort, this review lays the preliminary groundwork for developing a structured roadmap to guide responsible and adaptive agentic AI governance.  \nKeywords: Agentic AI governance, Agentic AI regulation, AI policy, Ethical AI agents.  \n1 Introduction  \nArtificial Intelligence (AI) has revolutionized our world and the way we do things. We have seen some streams of AI innovations, from traditional AI to generative AI, AI agents, and the new trending AI, agentic AI. Agentic AI (AgenAI ) is an autonomous AI system that can perceive a task, learn and adapt to its environment, and execute the task autonomously to reach a particular goal with little or no human oversight [22] . In other words, agentic AI can accomplish a task on its own on behalf of a human. There have been increases in the adoption of Agentic AI and AI agents by organizations, with about 11% deployment in the first quarter of 2025 and 42% deployment in the third quarter of 2025, as reported by KPMG [19]. In a 2025 PWC survey of business leaders, 88% of top executives surveyed stated that the rise of agentic AI had led to a budget increase on AI products, with about a 66% increase in work productivity for organizations that have adopted the use of AI Agents [30] . Gartner predicts that by 2029, agentic AI, which is classified as the future now, will be the “new normal” andwill normalize human agents ’ collaboration in our day-to-day activities [13] . Apart from adoption, the growth of the agentic AI market is increasing sporadically, with about USD 4.81 billion in 2024 to USD 7.06 billion in 2025, with a market forecast of USD 93.20 billion by 2032, as analyzed by MarketsandMarkets [21] .  \nAgentic AI has many potential benefits, such as increasing work productivity, enhancing economic progress, workplace reshaping and upskilling, advancement of science and technology, faster decision-making process, making essential services  \nmore reliable and accessible, among others [31] . Agentic AI can be used across several sectors: financial technology [10], business process management [43], urban planning and smart cities[41], employment, healthcare, customer service, general finance, manufacturing and industry, transportation, energy, cybersecurity, e-commerce, software engineering, among others [1, 12, 15, 29, 33] .  \nWhile agentic AI has many potentials, there are unique aspects of agentic AI that governance cannot overlook. Some of the unique features of Agentic AI and its possible consequences make governance of agentic AI an important and critical topic, which requires adequate attention, especially since innovation and invention always precede regulation. Prior research has identified ethical concerns, safety, risk, technical vulnerabilities which can make it unpredictable, agency problems in","cbCaiaZ6BxXwQG5o","https://ap.wps.com/l/cbCaiaZ6BxXwQG5o","pdf",277827,3,1,16,"English","en",105,"# Introduction\n# Toward a Governance Agenda\n## Distinguishing Features of Agentic AI\n## Governance Priorities and Mechanisms\n# Stakeholder Roles\n# Preliminary Roadmap","[{\"question\":\"What problem does the paper address in agentic AI governance?\",\"answer\":\"Agentic AI’s autonomous planning and execution introduce ethical, safety, and risk dimensions that standard governance approaches may not fully capture, creating the need for dedicated governance attention and mechanisms.\"},{\"question\":\"How does the paper distinguish agentic AI from traditional AI systems?\",\"answer\":\"The paper emphasizes agentic AI’s ability to perceive tasks, learn and adapt to its environment, and execute goals with little or no human oversight, which changes the governance requirements.\"},{\"question\":\"What outputs does the paper provide as an initial scholarly effort?\",\"answer\":\"It synthesizes governance priorities, mechanisms, and stakeholder roles from the emerging literature, and it lays preliminary groundwork for developing a structured roadmap to guide responsible and adaptive agentic AI 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problem does the paper address in agentic AI governance?","Question",{"text":75,"@type":76},"Agentic AI’s autonomous planning and execution introduce ethical, safety, and risk dimensions that standard governance approaches may not fully capture, creating the need for dedicated governance attention and mechanisms.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the paper distinguish agentic AI from traditional AI systems?",{"text":80,"@type":76},"The paper emphasizes agentic AI’s ability to perceive tasks, learn and adapt to its environment, and execute goals with little or no human oversight, which changes the governance requirements.",{"name":82,"@type":73,"acceptedAnswer":83},"What outputs does the paper provide as an initial scholarly effort?",{"text":84,"@type":76},"It synthesizes governance priorities, mechanisms, and stakeholder roles from the emerging literature, and it lays preliminary groundwork for developing a structured roadmap to guide responsible and 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