Mahdi Fahmideh
Biographic Data
| ID | 9560997 |
|---|---|
| NAME | Mahdi Fahmideh |
| GIVEN NAMES | Mahdi |
| FAMILY NAME | Fahmideh |
| SIGNATURE | FAHMIDEH M |
| AFFILIATIONS | University of Southern Queensland |
| ORCID | 0000-0001-7196-7217 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Venturing ChatGPT's lens to explore human values in software artifacts
Software is designed for humans and must account for their values. However, current research and practice focus on a narrow range of well-explored values, e.g. security, overlooking a more comprehensive perspective. Those exploring a broader array of values rely on manual identification, which is labour-intensive and prone to human bias. Moreover, existing methods offer limited reliability as they fail to explain their findings. In this paper, we…
AI Ethics
Artificial intelligence (AI) solutions and technologies are being increasingly adopted in smart systems contexts; however, such technologies are concerned with ethical uncertainties. Various guidelines, principles, and regulatory frameworks are designed to ensure that AI technologies adhere to ethical well-being. However, the implications of AI ethics principles and guidelines are still being debated. To further explore the significance of AI eth…
No prominent works on this page.
AI Ethics
Artificial intelligence (AI) solutions and technologies are being increasingly adopted in smart systems contexts; however, such technologies are concerned with ethical uncertainties. Various guidelines, principles, and regulatory frameworks are designed to ensure that AI technologies adhere to ethical well-being. However, the implications of AI ethics principles and guidelines are still being debated. To further explore the significance of AI eth…
Venturing ChatGPT's lens to explore human values in software artifacts
Software is designed for humans and must account for their values. However, current research and practice focus on a narrow range of well-explored values, e.g. security, overlooking a more comprehensive perspective. Those exploring a broader array of values rely on manual identification, which is labour-intensive and prone to human bias. Moreover, existing methods offer limited reliability as they fail to explain their findings. In this paper, we…
Engineering (2 works) · Ethics and Social Impacts of AI (2 works) · Accountability (1 work) · Adversarial Robustness in Machine Learning (1 work) · Applied ethics (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Computer Science (1 work) · Digital Mental Health Interventions (1 work) · Empirical research (1 work) · Engineering ethics (1 work)