Exploring the Ethical Implications of ChatGPT in Medical Education: Privacy, Accuracy, and Professional Integrity in a Cross-Sectional Survey
Hafiz Muhammad Amad Abdullah, Noor-i-Kiran Naeem, Ghufran Ali Malkana, Masib Javed, Malik Muhammad Shahzaib · 2024
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Description
Hafiz Muhammad Amad Abdullah, Noor-i-Kiran Naeem, Ghufran Ali Malkana, Masib Javed, and Malik Muhammad Shahzaib published this survey in 2024. It asks medical students in Pakistan how they judge the ethics of using ChatGPT in their training. Three worries frame the study: privacy of data, accuracy of answers, and honesty in student work.
Two hundred nineteen students at one medical college answered. Almost all called the tool's information accurate, and four in five said they trusted its medical content. Yet five in six worried about privacy and data security, a serious matter when coursework touches patient details. Most felt the tool sharpened their thinking, but nearly a third feared growing dependence and lost autonomy. A fifth doubted its place in future medical education at all. The authors urge schools to set clear rules so the tool supports, rather than replaces, learning.
Catalog record
| CREATOR | Hafiz Muhammad Amad Abdullah, Noor-i-Kiran Naeem, Ghufran Ali Malkana, Masib Javed, Malik Muhammad Shahzaib |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 14 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |