Nur Afny Catur Andryani
Biographic Data
| ID | 6673483 |
|---|---|
| NAME | Nur Afny Catur Andryani |
| GIVEN NAMES | Nur Afny Catur |
| FAMILY NAME | Andryani |
| SIGNATURE | ANDRYANI N A C |
| AFFILIATIONS | Binus University |
| ORCID | 0000-0002-2945-3391 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Content over appearance
This study examined the Indonesian youth's perceptions of the trustworthiness of artificial intelligence (AI) news presenters. The theoretical framework employed is cognitive psychology and journalistic ethics, and data were obtained via a questionnaire from 120 high school students. Instead of traditional statistical analysis, this study utilized a proposed interpretable machine learning frameworks that benefit from offering more detailed analys…
AI Literacy and Gender Bias
Artificial Intelligence (AI) is reshaping industries and workforce demands globally. To ensure that individuals are prepared for an increasingly AI-driven world, it is crucial to develop robust AI literacy and address persistent gender biases in STEM fields. This paper presents a comparative study of AI literacy and gender bias among 192 participants from the United Kingdom and Indonesia. Using a survey-based approach, the study examines particip…
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AI Literacy and Gender Bias
Artificial Intelligence (AI) is reshaping industries and workforce demands globally. To ensure that individuals are prepared for an increasingly AI-driven world, it is crucial to develop robust AI literacy and address persistent gender biases in STEM fields. This paper presents a comparative study of AI literacy and gender bias among 192 participants from the United Kingdom and Indonesia. Using a survey-based approach, the study examines particip…
Content over appearance
This study examined the Indonesian youth's perceptions of the trustworthiness of artificial intelligence (AI) news presenters. The theoretical framework employed is cognitive psychology and journalistic ethics, and data were obtained via a questionnaire from 120 high school students. Instead of traditional statistical analysis, this study utilized a proposed interpretable machine learning frameworks that benefit from offering more detailed analys…
Ethics and Social Impacts of AI (2 works) · AI in Service Interactions (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · CLARITY (1 work) · Computational and Text Analysis Methods (1 work) · Content analysis (1 work) · Context (archaeology (1 work) · Credibility (1 work) · Gender bias (1 work) · Indonesian (1 work)