
InfoScience Trends, Год журнала: 2024, Номер 1(3), С. 56 - 72
Опубликована: Сен. 25, 2024
Язык: Английский
InfoScience Trends, Год журнала: 2024, Номер 1(3), С. 56 - 72
Опубликована: Сен. 25, 2024
Язык: Английский
Social Sciences, Год журнала: 2024, Номер 13(7), С. 381 - 381
Опубликована: Июль 22, 2024
AI has the potential to revolutionize mental health services by providing personalized support and improving accessibility. However, it is crucial address ethical concerns ensure responsible beneficial outcomes for individuals. This systematic review examines considerations surrounding implementation impact of artificial intelligence (AI) interventions in field well-being. To a comprehensive analysis, we employed structured search strategy across top academic databases, including PubMed, PsycINFO, Web Science, Scopus. The scope encompassed articles published from 2014 2024, resulting 51 relevant articles. identifies 18 key considerations, 6 associated with using wellbeing (privacy confidentiality, informed consent, bias fairness, transparency accountability, autonomy human agency, safety efficacy); 5 principles development technologies settings practice positive (ethical framework, stakeholder engagement, review, mitigation, continuous evaluation improvement); 7 practices, guidelines, recommendations promoting use (adhere transparency, prioritize data privacy security, mitigate involve stakeholders, conduct regular reviews, monitor evaluate outcomes). highlights importance By addressing privacy, bias, oversight, evaluation, can that like chatbots AI-enabled medical devices are developed deployed an ethically sound manner, respecting individual rights, maximizing benefits while minimizing harm.
Язык: Английский
Процитировано
19Knowledge and Information Systems, Год журнала: 2025, Номер unknown
Опубликована: Янв. 27, 2025
Язык: Английский
Процитировано
0Future Internet, Год журнала: 2025, Номер 17(3), С. 104 - 104
Опубликована: Фев. 25, 2025
This study systematically evaluates the vulnerabilities of modern web browsers using developed indices derived from CVE database, including ICVE, ICVSS, IR and IT. These incorporate metrics such as vulnerability severity risks, along with browser popularity, to enable a balanced comparison security. The results highlight significant differences in security: while Google Chrome Samsung Internet exhibited lower threat indices, Mozilla Firefox demonstrated consistently higher scores, indicating greater exposure risks. observations slightly contradict widespread opinion. findings emphasize importance timely software updates mitigating vulnerabilities, many incidents were linked outdated versions. also introduces robust methodology for assessing threats, providing framework future research. Potential applications include developing browser-based penetration testing systems simulate phishing data extraction scenarios, offering insights into user-specific risks broader organizational impacts. By combining theoretical analysis practical implications, this work contributes advancing security lays foundation applied research cybersecurity.
Язык: Английский
Процитировано
0Policy Design and Practice, Год журнала: 2024, Номер unknown, С. 1 - 12
Опубликована: Авг. 1, 2024
Policy analysts dedicate a great deal of their time performing routine tasks including collecting information, identifying policy issues and options, appraising options. The amount information available online has become increasingly overwhelming. This "experience" paper examines how readily AI tools can assist workers researchers. To do so, we examine environmental innovation lab (EPIL) websites using three widely used generative programs (ChatGPT, Claude AI, Perplexity) to assess well they collect about PILs utilize the UN Sustainable Development Goals (SDGs). five questions are asked, defining PIL, whether in our database indeed labs extent which explicitly or implicitly contribute and/or address SDGs. Our results suggest that rapidly emerging significantly supplement analysis improve associated with analytical capacity. However, conclude despite rapid developments, augmented intelligence is not substitute for human but rather complementary tool.
Язык: Английский
Процитировано
1InfoScience Trends, Год журнала: 2024, Номер 1(2), С. 1 - 9
Опубликована: Июль 1, 2024
This study explores the synergistic potential of integrating artificial intelligence (AI) with design thinking, aiming to enhance innovation and problem-solving capabilities in various domains. Beginning a comprehensive examination thinking principles methodologies, research provides foundational understanding its core concepts. Subsequently, it investigates AI that can complement augment process. includes an analysis existing applications across different fields, highlighting their effectiveness contributions creative strategic processes. Central is integration tools within framework thinking. Through detailed review techniques, identifies specific where ideation, prototyping, user-centered phases. Furthermore, maps out how AI-driven solutions be seamlessly incorporated into each stage aims optimize creativity, problem-solving, decision-making by leveraging AI's predictive analytics, pattern recognition, iterative learning capabilities.
Язык: Английский
Процитировано
0InfoScience Trends, Год журнала: 2024, Номер 1(3), С. 56 - 72
Опубликована: Сен. 25, 2024
Язык: Английский
Процитировано
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