Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 317 - 333
Опубликована: Янв. 1, 2024
Язык: Английский
Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 317 - 333
Опубликована: Янв. 1, 2024
Язык: Английский
SSRN Electronic Journal, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
This paper explores the integration of Artificial Intelligence (AI) in public governance, leveraging insights from an expert survey with 15 participants. The aimed to understand perceptions and experiences professionals at intersection AI including their views on potential benefits, challenges, ethical considerations data-driven decision-making politics. Participants, representing a balanced mix government, academia, industry, provided nuanced perspectives how can enhance service delivery, processes, citizen engagement. reveals landscape where governance is poised for transformative impacts efficiency engagement, yet tempered by significant concerns around data privacy, algorithmic bias, technologies. Findings underscore critical consensus need robust frameworks mechanisms navigate complexities integration, ensuring that advancements sector foster transparency, accountability, trust. By synthesizing insights, this research contributes deeper understanding AI's role administration, offering foundation future policy-making implementation strategies.
Язык: Английский
Процитировано
1Human computer interaction., Год журнала: 2024, Номер 8(1), С. 105 - 105
Опубликована: Дек. 16, 2024
The adoption of Artificial Intelligence (AI) in the public sector offers transformative potential for enhancing decision-making processes, optimizing service delivery, and driving operational efficiency. This research examines integration AI into digital services, emphasizing dual imperatives accountability By analyzing AI’s application areas such as resource allocation, policy formulation, citizen engagement, this study explores how organizations can leverage to address complex societal challenges. Central discourse is balance between automation’s benefits ethical considerations inherent governance, transparency, equity, inclusivity. Through a multidisciplinary approach, evaluates real-world case studies theoretical frameworks, providing actionable insights policymakers administrators. It also investigates limitations risks adoption, including algorithmic bias, lack explainability, erosion trust. proposing strategies align innovations with principles good contributes development equitable accountable AI-driven systems, ensuring their sustainability acceptance.
Язык: Английский
Процитировано
1Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0Journal of Infrastructure Policy and Development, Год журнала: 2024, Номер 8(8), С. 6135 - 6135
Опубликована: Авг. 23, 2024
This study conducted a systematic literature review on current and emerging trends in the use of artificial intelligence (AI) for community surveillance, using PRISMA methodology paifal.ai tool selection analysis relevant sources. Five main thematic areas were identified: AI technologies, specific applications, societal impact, regulations public policy. Our findings revealed exponential growth development implementation with applications ranging from safety to environmental monitoring. However, this advancement poses significant challenges related privacy, ethics governance, driving debate need appropriate regulations. The also highlighted disparity adoption these technologies among different communities, suggesting inclusive policies ensure equitable benefits. contributes understanding scenario policing, providing solid foundation future research developments field.
Язык: Английский
Процитировано
0Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 317 - 333
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0