AI security in the EU under the framework of the EU AI Act
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| Dokumentumtípus: | TDK dolgozat |
| Kulcsszavak: | .NET Framework 5G digitális technológia EU information technology law |
| Online Access: | http://dolgozattar.uni-bge.hu/57967 |
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| 516 | |a Students_Scientific_Association_paper | ||
| 520 | 3 | |a Yassine Ben MnaActive semester 3International RelationsBGE KKKAI SECURITY IN THE EU UNDER THE FRAMEWORK OF THE EU AI ACTIntroductionOverview of AI in the EU: Summarizing the EU’s goals for AI, including economic growth, new technologies, and addressing security threats and ethical issues.Importance of AI Security: Emphasizing the need for a strong regulatory approach to AI security, particularly in high-risk sectors.EU AI Act as a Milestone: Introducing the AI Act as a regulatory framework focusing on AI risks, security, ethics, and human rights.Research ProblemSecurity Concerns in AI Development and Deployment: Risks associated with AI, including data security issues, algorithmic control, cybersecurity, and misuse of AI systems.Limitations of Current Security Measures: Highlighting weaknesses in the EU AI Act, such as enforcement challenges, adaptability to the latest AI technologies, and cross-sectoral cohesiveness.Literature Review and BackgroundAI Security Risks: Summarizing studies on AI-specific security risks in high-stakes fields like healthcare, finance, law enforcement, and autonomous vehicles.Overview of the EU AI Act: Providing a concise explanation of the Act’s provisions, including its classification of AI applications based on risk, and its requirements for high-risk AI systems in transparency, data quality, and cybersecurity.Comparative Regulatory Approaches: Comparing the EU’s approach to AI regulation with regions like the U.S. and China, highlighting the EU’s unique focus on security and ethics.Research ObjectivesEvaluating the Effectiveness of the AI Act’s Security Measures: Assessing risk categorization, particularly in high-risk applications.Identifying Potential Gaps in the Act’s Approach to Security: Examining areas where AI applications may be at risk due to rapid technological advances.Exploring Opportunities to Enhance the EU’s AI Security Framework: Suggesting policy adaptations that account for emerging security threats.MethodologyPolicy Analysis: Conducting a detailed examination of the AI Act, specifically its provisions on AI security, transparency, and risk management.Case Studies: Analyzing real-life AI security incidents in the EU to assess how the Act’s regulations might address or fall short in preventing these issues.Expert Opinions: Interviewing AI policy experts and cybersecurity professionals to gain insights into practical challenges and solutions for the Act’s security measures.Expected ContributionsRecommendations for Policy Enhancements: Proposing policy updates to ensure the adaptability of the Act, reflecting high-risk AI applications.Implications for EU Policymakers and Businesses: Providing guidance for EU policymakers and companies on improving AI security, is crucial for maintaining public trust in AI technologies.ConclusionSummary of Importance: Reinforcing the need for a robust AI security framework in the EU, given the Act’s global influence.Long-Term Vision: Envisioning the EU as a global leader in AI security policy, setting a standard for responsible and secure AI governance. | |
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| 700 | 1 | |a Andrási Dr. Gábor |e ths | |
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| 856 | 4 | 0 | |u http://dolgozattar.uni-bge.hu/57967/2/AI%20security%20in%20the%20EU%20under%20the%20framework%20of%20the%20EU%20AI%20Act.pdf |z Dokumentum-elérés |
| 856 | 4 | 0 | |u http://dolgozattar.uni-bge.hu/57967/3/AI%20security%20in%20the%20EU%20under%20the%20framework%20of%20the%20EU%20AI%20Act.pdf |z Dokumentum-elérés |