ARTIFICIAL INTELLIGENCE AS A FACTOR OF INFLUENCE ON THE DEVELOPMENT OF ELECTRONIC DEMOCRACY: THE LEGISLATIVE EXPERIENCE OF THE EU AND UKRAINE DOI Creative Commons
Olha Afonina

The Journal of V N Karazin Kharkiv National University Series Law, Journal Year: 2024, Volume and Issue: 38, P. 54 - 62

Published: Dec. 24, 2024

Introduction. The article explores the impact of artificial intelligence (AI) on development e-democracy, focusing both its benefits and risks associated with use. purpose this work is to study concepts electronic democracy intelligence, EU legislation international experience AI regulation as a factor in modernization national Ukraine matters promotion realization constitutional rights citizens. Summary main results study. facilitates analysis large volumes data, improves decision-making processes promotes active involvement citizens public affairs. can have positive e-democracy. First, improving process state authorities local governments, because algorithms analyze information identify trends patterns that may not be obvious humans. This help making more informed political decisions reflect needs wishes citizens, at level whole individual communities. Secondly, affects improvement access information, structuring analyzing amount data used by government organizations, which facilitate citizens' relevant contribute effective Third, direct citizen engagement, improve performance various e-democracy tools, allowing easily interact governments. It also governments collect real-time feedback. At same time, despite significant potential using democratic processes, use tool accompanied number challenges, including violation right privacy, security problems, algorithmic bias, ethical dilemmas affect will their autonomy. In Ukrainian legislation, issue AI, well interaction tools democracy, are currently stage authorities. November 2023, during Artificial Intelligence Security Summit held Great Britain, signed "Bretton Woods Declaration" thus joined cooperation research. Currently, implementing European legislative candidate country for joining EU. Conclusions. Effective context requires clear Ukraine. addition, all relate issues require attention principles rule law non-discrimination. Recommendations protection human privacy implementation technologies, already been developed Ukraine, one first steps settlement issue. When developing your own model normative legal it worth taking into account global, primarily European, experience. So, example, EU's regulating serve an example field, aim supporting protecting functioning particular classifying ​​system high-risk terms specifically processes.

Language: Английский

Integral Role of Blockchain and Artificial Intelligence in Sustainable Economic Development DOI
Ananya Pandey, Jipson Joseph

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 271 - 290

Published: Feb. 21, 2025

Blockchain technology and Artificial Intelligence (AI) play variety of roles in sustainable economic growth tackling a range social, economic, environmental issues. AI boosts labor productivity propels by automating processes increasing across industries. Transparency transactions is guaranteed blockchain's decentralized unchangeable structure, which essential for business processes. Since they foster social inclusion, prosperity, sustainability, blockchain are line with the Sustainable Development Goals. Ultimately, formidable tools that advance growth. Their unique set abilities provides ground-breaking ways to improve performance, transparency wide Keeping view above, this chapter analyzes integral role enhancing development. It explores legal framework concerning usage several regions countries.

Language: Английский

Citations

0
Adoção de IA na Administração Pública: do tecnicismo à vantagem competitiva e à confiança dos cidadãos DOI Creative Commons

Juliano Brito da Justa Neves,

Ana Romão

Reforma y democracia., Journal Year: 2025, Volume and Issue: 90, P. 25 - 53

Published: March 27, 2025

O estudo da inteligência artificial (IA) começou em 1950, mas, só na segunda década do século 21, surgiram equipamentos específicos para seu processamento. Inicialmente, a adoção de soluções IA era influenciada por fatores técnicos, como complexidade algoritmos e disponibilidade dados. Contudo, o cenário mudou com lançamento generativa ChatGPT 2022. Desde então, busca vantagem competitiva necessidade modernização tornaram-se os principais motivadores instituições públicas privadas. A rápida popularização levou um esforço generalizado se destacar no mercado. No entanto, aumento uso trouxe preocupações, especialmente quanto à confiança nessas tecnologias, devido aos riscos desempenho inesperado que podem prejudicar imagem resultados das organizações. Para as administrações públicas, essa questão é crítica, pois falhas impactar sociedade não são facilmente corrigíveis. Este trabalho avalia influenciam desde critérios técnicos iniciais até atual preocupação regulamentação IA, fim oferecer uma visão abrangente dos desafios propor direções futuras pesquisa prática.

Citations

0
Artificial intelligence in governance: recent trends, risks, challenges, innovative frameworks and future directions DOI
Arjun Ghosh, Anil Saini,

Himanshu Barad

et al.

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Language: Английский

Citations

0
The Role of Digital Transformation in Businesses Under the Influence of Artificial Intelligence DOI
Hilal Çelik

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: April 25, 2025

In the recent period there have been rapid and great technological developments. Especially developments in information technologies brought solutions that make human life extremely easier. The purpose of this study is to explain role artificial intelligence digital transformation businesses its impact on sectors. first part study, relevant conceptual framework are included. second part, issue digitalization mentioned. last section, mentioned by giving examples from sector. As a result, it seems has developed rapidly years. Many transitioned work done their employees started outsource robots. It predicted importance intensity will continue increase with future

Language: Английский

Citations

0
Chatbots are Not Yet Safe for Emergency Care Patient Use: Deficiencies of AI Responses to Clinical Questions (Preprint) DOI Creative Commons

J. Yau,

Soheil Saadat, Edmund Hsu

et al.

Published: May 7, 2024

BACKGROUND Recent surveys indicate that 48% of consumers actively use generative artificial intelligence (AI) for health-related inquiries. Despite widespread adoption and the potential to improve health care access, scant research examines performance AI chatbot responses regarding emergency advice. OBJECTIVE We assessed quality common questions. sought determine qualitative differences in from 4 free-access chatbots, 10 different serious benign conditions. METHODS created questions we fed into versions ChatGPT 3.5 (OpenAI), Google Bard, Bing Chat (Microsoft), Claude (Anthropic) on November 26, 2023. Each response was graded by 5 board-certified medicine (EM) faculty 8 domains percentage accuracy, presence dangerous information, factual clarity, completeness, understandability, source reliability, relevancy. determined correct, complete reputable scholarly medical references. These were compiled an EM resident physician. For readability responses, used Flesch-Kincaid Grade Level each statistics embedded Microsoft Word. Differences between chatbots chi-square test. RESULTS chatbots’ clinical scored across faculty, 400 assessments chatbot. Together, had best clarity understandability (both 85%), intermediate accuracy completeness 50%), poor (10%) relevance reliability (mostly unreported). Chatbots contained information 5% 35% with no statistical difference this metric (<i>P</i>=.24). ChatGPT, Claud similar performances 6 out domains. Only performed better more identified or relevant sources (40%; others 0%-10%). Reading level 7.7-8.9 grade all except at 10.8, which too advanced average patients. Responses included both (eg, starting cardiopulmonary resuscitation pulse check) generally inappropriate advice loosening collar breathing without evidence airway compromise). CONCLUSIONS though ubiquitous, have significant deficiencies patient advice, despite relatively consistent performance. Information when seek urgent emergent is frequently incomplete inaccurate, patients may be unaware misinformation. Sources are not provided. Patients who guide decisions assume risks. should subject further research, refinement, regulation. strongly recommend proper consultation prevent adverse outcomes. CLINICALTRIAL

Language: Английский

Citations

0
The prerequisites for artificial intelligence in Danish general practice: A qualitative vignette study among general practitioners (Preprint) DOI

Natasha Lee Jørgensen,

Camilla Hoffmann Merrild, Martin Bach Jensen

et al.

Published: July 4, 2024

BACKGROUND Artificial intelligence has been deemed revolutionary in medicine, but very few artificial solutions have observed Danish general practice. General practice Denmark an excellent system of digitization to develop and utilize intelligence. However, a lack involvement practitioners the development exists. The perspectives as end users are essential facilitate implementation OBJECTIVE This study aimed characterize prerequisites that must be met enable METHODS applied semi-structured interviews vignettes gain on potential for developing implementing among practitioners. Twelve were interviewed, resulting exhaustive dataset. transcribed, thematic analysis was conducted identify dominant themes throughout data. RESULTS Four main identified data found important consider when AI practice: ‘AI begin with low-hanging fruit’, meaningful GP’s work’, ‘The GP-patient relationship maintained despite AI’, free, active, integrated option EHR’. CONCLUSIONS four contributing defining can potentially lead first steps future participating positive towards their clinics, it would valuable defined considering new tools

Language: Английский

Citations

0
ARTIFICIAL INTELLIGENCE AS A FACTOR OF INFLUENCE ON THE DEVELOPMENT OF ELECTRONIC DEMOCRACY: THE LEGISLATIVE EXPERIENCE OF THE EU AND UKRAINE DOI Creative Commons
Olha Afonina

The Journal of V N Karazin Kharkiv National University Series Law, Journal Year: 2024, Volume and Issue: 38, P. 54 - 62

Published: Dec. 24, 2024

Introduction. The article explores the impact of artificial intelligence (AI) on development e-democracy, focusing both its benefits and risks associated with use. purpose this work is to study concepts electronic democracy intelligence, EU legislation international experience AI regulation as a factor in modernization national Ukraine matters promotion realization constitutional rights citizens. Summary main results study. facilitates analysis large volumes data, improves decision-making processes promotes active involvement citizens public affairs. can have positive e-democracy. First, improving process state authorities local governments, because algorithms analyze information identify trends patterns that may not be obvious humans. This help making more informed political decisions reflect needs wishes citizens, at level whole individual communities. Secondly, affects improvement access information, structuring analyzing amount data used by government organizations, which facilitate citizens' relevant contribute effective Third, direct citizen engagement, improve performance various e-democracy tools, allowing easily interact governments. It also governments collect real-time feedback. At same time, despite significant potential using democratic processes, use tool accompanied number challenges, including violation right privacy, security problems, algorithmic bias, ethical dilemmas affect will their autonomy. In Ukrainian legislation, issue AI, well interaction tools democracy, are currently stage authorities. November 2023, during Artificial Intelligence Security Summit held Great Britain, signed "Bretton Woods Declaration" thus joined cooperation research. Currently, implementing European legislative candidate country for joining EU. Conclusions. Effective context requires clear Ukraine. addition, all relate issues require attention principles rule law non-discrimination. Recommendations protection human privacy implementation technologies, already been developed Ukraine, one first steps settlement issue. When developing your own model normative legal it worth taking into account global, primarily European, experience. So, example, EU's regulating serve an example field, aim supporting protecting functioning particular classifying ​​system high-risk terms specifically processes.

Language: Английский

Citations

0