Telematics and Informatics, Год журнала: 2024, Номер unknown, С. 102227 - 102227
Опубликована: Дек. 1, 2024
Язык: Английский
Telematics and Informatics, Год журнала: 2024, Номер unknown, С. 102227 - 102227
Опубликована: Дек. 1, 2024
Язык: Английский
Nuclear Engineering and Technology, Год журнала: 2025, Номер unknown, С. 103524 - 103524
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Telematics and Informatics, Год журнала: 2025, Номер unknown, С. 102278 - 102278
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Behaviour and Information Technology, Год журнала: 2025, Номер unknown, С. 1 - 30
Опубликована: Май 9, 2025
Язык: Английский
Процитировано
0Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 297 - 332
Опубликована: Май 9, 2025
This chapter focuses on artificial intelligence (AI)-generative tools and their application to the higher education system, specifically instructional design processes. Digitalization advancement of AI have significantly transformed educational sector, presenting stakeholders involved in digital content with an expanded toolkit AI-driven solutions like chatbots, virtual teaching assistants, AI-generated feedback, among others. AI-generative tools, which are designed as support systems, intrinsically adopt intelligent characteristics based machine learning principles explorative methods, allowing end-user produce natural language text, video, image that is both coherent instructive. Therefore, this delves into implementation education, emphasizing tools' opportunities challenges, well outlining potential future directions.
Язык: Английский
Процитировано
0IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 603 - 632
Опубликована: Апрель 11, 2025
The digitization of welfare systems has improved fraud detection and beneficiary authentication, yet it presents challenges in balancing deterrence accessibility. While biometric blockchain identity verification, AI-driven reduce fraudulent claims, strict authentication policies can wrongfully exclude eligible recipients, particularly marginalized populations. This chapter develops a Bayesian game-theoretic model to analyze how governments strategically optimize strictness accuracy minimize while maintaining Nash Equilibrium (BNE) framework formalizes the interactions between government agencies, legitimate fraudsters, determines optimal policy trade-offs. numerical experiment demonstrates that higher benefits justify stricter low-welfare programs, must be prioritized. Sensitivity analysis confirms small adjustments significantly impact efficiency.
Язык: Английский
Процитировано
0SSRN Electronic Journal, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0IntechOpen eBooks, Год журнала: 2024, Номер unknown
Опубликована: Авг. 7, 2024
This chapter is an attempt to present how artificial intelligence (AI) impacts public administration and the basic ethical challenges it brings this environment. The introduction shows main model of relation between AI also gives questions that will guide all argumentations. second section sets up framework for further analysis explains rudimental whole term AI. In section, fields use in are shown, including decision-making process other forms services. third dedicated issues inextricably linked with usage.
Язык: Английский
Процитировано
0Telematics and Informatics, Год журнала: 2024, Номер unknown, С. 102227 - 102227
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
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