Saleh Afroogh
Biographic Data
| ID | 1838431 |
|---|---|
| NAME | Saleh Afroogh |
| GIVEN NAMES | Saleh |
| FAMILY NAME | Afroogh |
| SIGNATURE | AFROOGH S |
| AFFILIATIONS | The University of Texas at Austin |
| ORCID | 0009-0004-4883-0844 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Mapping out AI functions in intelligent disaster (mis)management and AI-caused disasters
Generative AI and LLMs in industry
The rise of Generative AI (GAI) and Large Language Models (LLMs) has transformed industrial landscapes, offering unprecedented opportunities for efficiency and innovation while raising critical ethical, regulatory, and operational challenges. Despite growing adoption across sectors, little is known about how corporate governance frameworks address these multifaceted risks in a comparative, sector-specific manner—a clear knowledge gaps this study …
When trust is zero sum
The global landscape of academic guidelines for generative AI and LLMs
Trust in AI
The increasing use of artificial intelligence (AI) systems in our daily lives through various applications, services, and products highlights the significance of trust and distrust in AI from a user perspective. AI-driven systems have significantly diffused into various aspects of our lives, serving as beneficial “tools” used by human agents. These systems are also evolving to act as co-assistants or semi-agents in specific domains, potentially i…
Tracing app technology
The Mirage of Motivation Reason Internalism
Covid-19, Scarce Resources and Priority Ethics
No prominent works on this page.
Covid-19, Scarce Resources and Priority Ethics
Tracing app technology
The Mirage of Motivation Reason Internalism
Trust in AI
The increasing use of artificial intelligence (AI) systems in our daily lives through various applications, services, and products highlights the significance of trust and distrust in AI from a user perspective. AI-driven systems have significantly diffused into various aspects of our lives, serving as beneficial “tools” used by human agents. These systems are also evolving to act as co-assistants or semi-agents in specific domains, potentially i…
When trust is zero sum
The global landscape of academic guidelines for generative AI and LLMs
Mapping out AI functions in intelligent disaster (mis)management and AI-caused disasters
Generative AI and LLMs in industry
The rise of Generative AI (GAI) and Large Language Models (LLMs) has transformed industrial landscapes, offering unprecedented opportunities for efficiency and innovation while raising critical ethical, regulatory, and operational challenges. Despite growing adoption across sectors, little is known about how corporate governance frameworks address these multifaceted risks in a comparative, sector-specific manner—a clear knowledge gaps this study …
Computer Science (5 works) · Engineering (4 works) · Ethics and Social Impacts of AI (4 works) · Epistemology (3 works) · Philosophy (3 works) · Political science (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Computer security (2 works) · Engineering ethics (2 works) · Epistemology, Ethics, and Metaphysics (2 works)