Hazem Zohny
Biographic Data
| ID | 9592071 |
|---|---|
| NAME | Hazem Zohny |
| GIVEN NAMES | Hazem |
| FAMILY NAME | Zohny |
| SIGNATURE | ZOHNY H |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0002-7734-2186 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Which AI doctor would you like to see? Emulating healthcare provider–patient communication models with GPT-4
Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider–patient communication. However, some have raised the concern that such communication may adopt implicit communication norms that deviate from what patients want or need from talking with their healthcare provider. This paper explores the possibility of using LLMs to enable patients to choose their preferred communication …
Reframing ‘dehumanisation’
Warnings that large language models (LLMs) could ‘dehumanise’ medical decision-making often rest on an asymmetrical comparison: the idealised, attentive healthcare provider versus a clumsy, early-stage artificial intelligence (AI). This framing ignores a more urgent reality: many patients face rushed, jargon-heavy, inconsistent communication, even from skilled professionals. This response to Hildebrand’s critique argues that: (1) while he worries…
When Two Become One
Advances in brain–brain interface technologies raise the possibility that two or more individuals could directly link their minds, sharing thoughts, emotions, and sensory experiences. This paper explores conceptual and ethical issues posed by such mind-merging technologies in the context of clinical neuroethics. Using hypothetical examples along a spectrum from loosely connected pairs to fully merged minds, the authors sketch out a range of facto…
Generative AI and medical ethics
Ethics of generative AI
Animal researchers shoulder a psychological burden that animal ethics committees ought to address
Animal ethics committees (AECs) typically focus on the welfare of animals used in experiments, neglecting the potential welfare impact of that animal use on the animal laboratory personnel. Some of this work, particularly the killing of animals, can impose significant psychological burdens that can diminish the well-being of laboratory animal personnel, as well as their capacity to care for animals. We propose that AECs, which regulate animal res…
Affirmative action in healthcare resource allocation
This article is about the potential justification for deploying some form of affirmative action (AA) in the context of healthcare, and in particular in relation to the pandemic. We call this Affirmative Action in healthcare Resource Allocation (AARA). Specifically, we aim to investigate whether the rationale and justifications for using prioritization policies based on race in education and employment apply in a healthcare setting, and in particu…
Rethinking Moral Status
Common-sense morality implicitly assumes that reasonably clear distinctions can be drawn between the ‘full’ moral status usually attributed to ordinary adult humans, the partial moral status attributed to non-human animals, and the absence of moral status, usually ascribed to machines and other artefacts. These assumptions were always subject to challenge; but they now come under renewed pressure because there are beings we are now able to create…
No prominent works on this page.
Rethinking Moral Status
Common-sense morality implicitly assumes that reasonably clear distinctions can be drawn between the ‘full’ moral status usually attributed to ordinary adult humans, the partial moral status attributed to non-human animals, and the absence of moral status, usually ascribed to machines and other artefacts. These assumptions were always subject to challenge; but they now come under renewed pressure because there are beings we are now able to create…
Animal researchers shoulder a psychological burden that animal ethics committees ought to address
Animal ethics committees (AECs) typically focus on the welfare of animals used in experiments, neglecting the potential welfare impact of that animal use on the animal laboratory personnel. Some of this work, particularly the killing of animals, can impose significant psychological burdens that can diminish the well-being of laboratory animal personnel, as well as their capacity to care for animals. We propose that AECs, which regulate animal res…
Affirmative action in healthcare resource allocation
This article is about the potential justification for deploying some form of affirmative action (AA) in the context of healthcare, and in particular in relation to the pandemic. We call this Affirmative Action in healthcare Resource Allocation (AARA). Specifically, we aim to investigate whether the rationale and justifications for using prioritization policies based on race in education and employment apply in a healthcare setting, and in particu…
Ethics of generative AI
When Two Become One
Advances in brain–brain interface technologies raise the possibility that two or more individuals could directly link their minds, sharing thoughts, emotions, and sensory experiences. This paper explores conceptual and ethical issues posed by such mind-merging technologies in the context of clinical neuroethics. Using hypothetical examples along a spectrum from loosely connected pairs to fully merged minds, the authors sketch out a range of facto…
Generative AI and medical ethics
Reframing ‘dehumanisation’
Warnings that large language models (LLMs) could ‘dehumanise’ medical decision-making often rest on an asymmetrical comparison: the idealised, attentive healthcare provider versus a clumsy, early-stage artificial intelligence (AI). This framing ignores a more urgent reality: many patients face rushed, jargon-heavy, inconsistent communication, even from skilled professionals. This response to Hildebrand’s critique argues that: (1) while he worries…
Which AI doctor would you like to see? Emulating healthcare provider–patient communication models with GPT-4
Large language models (LLMs) have demonstrated potential in enhancing various aspects of healthcare, including health provider–patient communication. However, some have raised the concern that such communication may adopt implicit communication norms that deviate from what patients want or need from talking with their healthcare provider. This paper explores the possibility of using LLMs to enable patients to choose their preferred communication …
Political science (7 works) · Law (6 works) · Psychology (6 works) · Computer Science (5 works) · Artificial Intelligence in Healthcare and Education (3 works) · Engineering ethics (3 works) · Medicine (3 works) · Paternalism (3 works) · Social Psychology (3 works) · Artificial Intelligence (2 works)