The race for AI hegemony

Socioeconomic Analytics, Journal Year: 2025, Volume and Issue: 3(1)

Published: Feb. 3, 2025

The growing use of Artificial Intelligence (AI) raises technical, economic, social, legal, and ethical questions. AI can transform industries, automate tasks, create jobs, but it also brings concerns about infrastructure, resource redistribution, inequality, regulation, ethics. race for Hegemony between the US China intensifies economic political polarization. Investments in research development will be massive, with competition talent resources. Without international coordination, uncontrolled advance could threaten security social justice. An inclusive debate is essential to ensure responsible this technology. This text was motivated by recent geopolitical events (already first month 2025), which directly affect people's daily lives worldwide, leaving possible reflections on power as an active agent shaping future humanity.

Language: Английский

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AI-Driven Decision Support in Public Administration: An Analytical Framework

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 237 - 246

Published: Jan. 1, 2024

Language: Английский

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An Analysis of the Evolution of Public Sentiment and Spatio-Temporal Dynamics Regarding Building Collapse Accidents Based on Sina Weibo Data

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(10), P. 388 - 388

Published: Sept. 26, 2023

Monitoring, analyzing, and managing public sentiment surrounding urban emergencies hold significant importance for city governments in executing effective response strategies maintaining social stability. In this study, we present a study which was conducted regarding the self-built house collapse incident Changsha, China, that occurred on 29 April 2022, with focus leveraging Sina Weibo (a Twitter-like microblogging system China) comment data. By employing Latent Dirichlet Allocation (LDA) topic model, identified key discussion themes within comments explored emotional spatio-temporal characteristics of discourse. Furthermore, utilizing geographic detectors, investigated factors influencing spatial variations Our research findings indicate can be categorized into three main themes: “Rest Peace Deceased”, “Wishing Safety”, “Thorough Investigation Self-Built Houses”. Regarding features, overall expressed discourse displayed positivity, albeit fluctuations during different stages incident, including initial occurrence, rescue efforts, establishment accountability investigative committees. These were closely associated polarity specific topics. terms temporal distribution, peak number approximately one hour after published. Concerning positive prevailed across various provinces. The distribution exhibited stair-like pattern, correlated interregional population migration per capita GDP. provides valuable insights relevant departments conducting analysis guiding opinion trends.

Language: Английский

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Applying spatial decision support for maternal mortality analysis in a Brazilian state

Socioeconomic Analytics, Journal Year: 2023, Volume and Issue: 1, P. 92 - 102

Published: Aug. 7, 2023

The interface between Decision Support Systems (DSS) and Geographical Information Sys-tems (GIS) generates Spatial (SDSS) which aid in the deci-sion-making process, particularly situations where spatial attributes play a pivotal role achieving accurate conclusions. By integrating conventional decision criteria with crite-ria visualization through adoption of SDSS geographic information systems tech-nologies, comprehensive analysis is ensured. primary aim this research to exemplify an application support analyses decisions on specific issue Public Health. focus lies assessing cities within state Pernambuco (Brazil) that exhibit high-est rates maternal mortality. This approach promises offer valuable insights making informed address critical health issues region.

Language: Английский

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Enabling Public Security Text-Based Analytics: A Survey to Outline Research Directions

Published: March 1, 2024

Text mining is a technological trend often highlighted in the continuous exchange of information through interconnected media. Its applicability goes beyond private organizations, as public sector also requires it to treat textual regarding services offered. Within this scenario, security emerges prominent user text that seeks ensure construction data and knowledgebases support decision-making about law enforcement actions citizen welfare. The primary objectives article are: (i) develop survey identify applications, techniques, opportunities, challenges security, (ii) outline research directions concerning these topics provide insights so interested researchers can new studies. literature was searched within four databases: Scopus, IEEE Xplore, ACM Digital Library, Web Science. A filtering process applied extract works most aligned with target theme, resulting selection 194 relevant for review. There were identified nineteen key applications related recurrent techniques technologies reported between 2014 2021, supporting outlining three axes future directions: one possible expansion research; another on changes adaptations scopes methodological context; last expansions application scenarios based literature.

Language: Английский

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Knowledge, Attitude, and Practice towards COVID-19 among Patients Attending Phuentsholing Hospital, Bhutan: A Cross-Sectional Study

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(4), P. 2942 - 2942

Published: Feb. 8, 2023

Bhutan is one of the few countries in world to take unprecedented steps control spread COVID-19 country. This study aimed investigate knowledge, attitude, and practice (KAP) their associated covariates among patients attending Phuentsholing Hospital, Bhutan. Therefore, a cross-sectional was conducted Hospital between March 17 April 9, 2021, using an interview-administered questionnaire. The multivariable logistic regression used identify statistically significant good KAP. Further, association levels KAP scores assessed Pearson's correlation coefficient. Of 441 participants, 54.6% (241) were female. Knowledge, score reported by 55.3%, 51.8%, 83.7% respectively. Higher education, secondary monastic non-formal education 9 [adjusted odds ratio (AOR) = 9.23; 95% confidence interval (CI) 3.438, 24.797], 3.5 (AOR 3.5; CI 1.425, 8.619), 4 3.8; 1.199, 12.141) times more likely report knowledge than illiterates. A positive attitude with higher 2.97; 1.154, 7.66) 3.53; 1.454, 8.55) compared illiteracy. 12.31; 2.952, 51.318) 11.5; 3.439, 38.476) Participants age groups 26-35 years 0.11; 0.026, 0.484) >45 0.12; 0.588) less exhibit those aged 18-25 years. Those working private or business sectors 8.81; 1.165, 41.455) have civil servants. There weak but knowledge-attitude (r 0.228), knowledge-practice 0.220), attitude-practice 0.338). need for health on increase highly recommended, should be focused educated other vulnerable such as farmers students, well older 25

Language: Английский

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Emerging Diseases/Viruses Prevention, Control, Surveillance, and One Health

Tropical Medicine and Infectious Disease, Journal Year: 2023, Volume and Issue: 8(5), P. 257 - 257

Published: April 29, 2023

Emerging diseases have posed a constant threat and major challenge to human health throughout our history [...]

Language: Английский

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