Yuval Haber
Biographic Data
| ID | 8994369 |
|---|---|
| NAME | Yuval Haber |
| GIVEN NAMES | Yuval |
| FAMILY NAME | Haber |
| SIGNATURE | HABER Y |
| AFFILIATIONS | Bar-Ilan University |
| ORCID | 0000-0003-4933-2113 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The paradox of pleasing
Conversational artificial intelligence (CAI) is increasingly used by hundreds of millions of people for emotional support, personal advice, and therapeutic purposes, rapidly emerging as a mediator of human self-understanding (Stade et al. 2025). Yet despite growing evidence of systematic user-validation in CAI, documented as “sycophancy” in the AI safety literature (Sharma et al. 2024), its implications for how individuals come to understand them…
Evaluating a generative AI-based pitch simulation tool
Purpose Entrepreneurship education faces persistent challenges in providing scalable, standardized, and feedback-rich training for investor pitch skills. This pilot study developed and evaluated a generative AI-powered pitch simulator designed to replicate investor interactions in a low-pressure training environment. Design A mixed-methods feasibility evaluation was conducted with 46 entrepreneurs. The study integrated post-session quantitative m…
Algorithmic Witnessing
The timeless human need to bear witness to trauma confronts a modern “crisis of listening”: a societal scarcity of capable listeners, caused by the emotional demands of the witnessing role, structural barriers, and the cultural silencing of certain narratives. This listening gap propels many individuals toward conversational AI, creating a need for a framework to analyze the new form of algorithmic listening to trauma. The present critical narrat…
No prominent works on this page.
The paradox of pleasing
Conversational artificial intelligence (CAI) is increasingly used by hundreds of millions of people for emotional support, personal advice, and therapeutic purposes, rapidly emerging as a mediator of human self-understanding (Stade et al. 2025). Yet despite growing evidence of systematic user-validation in CAI, documented as “sycophancy” in the AI safety literature (Sharma et al. 2024), its implications for how individuals come to understand them…
Evaluating a generative AI-based pitch simulation tool
Purpose Entrepreneurship education faces persistent challenges in providing scalable, standardized, and feedback-rich training for investor pitch skills. This pilot study developed and evaluated a generative AI-powered pitch simulator designed to replicate investor interactions in a low-pressure training environment. Design A mixed-methods feasibility evaluation was conducted with 46 entrepreneurs. The study integrated post-session quantitative m…
Algorithmic Witnessing
The timeless human need to bear witness to trauma confronts a modern “crisis of listening”: a societal scarcity of capable listeners, caused by the emotional demands of the witnessing role, structural barriers, and the cultural silencing of certain narratives. This listening gap propels many individuals toward conversational AI, creating a need for a framework to analyze the new form of algorithmic listening to trauma. The present critical narrat…
Digital Mental Health Interventions (2 works) · Active listening (1 work) · AI in Service Interactions (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Cognitive reframing (1 work) · Conceptual framework (1 work) · Consciousness (1 work) · Conversation (1 work) · Diverse academic research themes (1 work) · Embodied cognition (1 work)