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AI-Driven Governance.
The report titled 'AI-Driven Governance' provides a comprehensive analysis of global AI governance frameworks, public perceptions, policy risks, and strategic insights. It highlights the legal and regulatory structures in place across different regions and their respective AI governance models. Additionally, the report delves into the technical foundations of AI, exploring the risks and advancements associated with agentic AI and its applications in governance. Economic implications, ethical considerations, and future trends are also examined, providing an in-depth look at the challenges and opportunities within AI governance.
AI GovernanceGlobalInformation TechnologyPublic PerceptionPublic policy
Celso Gomes, Ghost Research
2025-12-23
57
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Limited Time Offer
$50$150
(exclusive of tax)Single User License57Pages of Deep Analysis
100Credible Sources Referenced
9Data Analysis Tables
1Proprietary AI Visuals
Perspective.
PurposeThe report aims to analyze and provide insights into AI governance frameworks, highlighting strategic, legal, and ethical challenges and opportunities.
AudiencePolicymakers, researchers, industry leaders, and stakeholders interested in AI governance.
Report LengthComprehensive
Focus Areas.
Industries JobsPrimarily focuses on public sector governance, technology, and legal frameworks.
Geographic AreasCovers global regions with specific focus on the EU, US, China, and Japan.
Special EmphasisEmphasizes policy, transparency, risk management, and ethical considerations in AI.
Report Layout.
Introduction to AI-Driven Governance
- Current definitions and evolving scope
- Recent historical milestones
- Updated key terminology
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Insights.
AI governance varies globally, with differing frameworks and legislative approaches.Public perception of AI impacts trust and adoption rates across regions.Technical risks in AI systems require robust frameworks for oversight and operation.Ethical and equity considerations are essential in preventing AI bias and ensuring inclusivity.Economic impacts of AI governance include cost implications and changes in workforce dynamics.Key Questions Answered.
