In ChatGPT We Trust? Unveiling the Dynamics of Reuse Intention and Trust Towards Generative AI Chatbots among Iranians DOI Creative Commons

Houman Jafari,

Nader Naghshineh,

Oscar Alvarado Rodríguez

и другие.

InfoScience Trends, Год журнала: 2024, Номер 1(3), С. 56 - 72

Опубликована: Сен. 25, 2024

Язык: Английский

Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact DOI Creative Commons
Hamid Reza Saeidnia,

Seyed Ghasem Hashemi Fotami,

Brady Lund

и другие.

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

19

Artificial intelligence in the battle against disinformation and misinformation: a systematic review of challenges and approaches DOI
Hamid Reza Saeidnia, Elaheh Hosseini, Brady Lund

и другие.

Knowledge and Information Systems, Год журнала: 2025, Номер unknown

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0

Assessing Browser Security: A Detailed Study Based on CVE Metrics DOI Creative Commons
Oleksii Chalyi,

Kęstutis Driaunys,

Vytautas Rudžionis

и другие.

Future 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

0

Artificial intelligence possibilities to improve analytical policy capacity: the case of environmental policy innovation labs and sustainable development goals DOI Creative Commons
Adam Wellstead,

Sidney M. Mechling,

Angie Carter

и другие.

Policy 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

1

Integrating Artificial Intelligence into Design Thinking: A Comprehensive Examination of the Principles and Potentialities of AI for Design Thinking Framework DOI Creative Commons
Hamid Reza Saeidnia, Marcel Ausloos

InfoScience 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

0

In ChatGPT We Trust? Unveiling the Dynamics of Reuse Intention and Trust Towards Generative AI Chatbots among Iranians DOI Creative Commons

Houman Jafari,

Nader Naghshineh,

Oscar Alvarado Rodríguez

и другие.

InfoScience Trends, Год журнала: 2024, Номер 1(3), С. 56 - 72

Опубликована: Сен. 25, 2024

Язык: Английский

Процитировано

0