Melissa Singer Pressman
Biographic Data
| ID | 8668988 |
|---|---|
| NAME | Melissa Singer Pressman |
| GIVEN NAMES | Melissa Singer |
| FAMILY NAME | Pressman |
| SIGNATURE | PRESSMAN M S |
| AFFILIATIONS | Grand Canyon University |
| ORCID | 0000-0001-7414-8532 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
When Artificial Intelligence Enters the Research Process
The rapid integration of generative artificial intelligence (AI) into academic and professional workflows is reshaping human participants research. While prior discourse has focused largely on AI-assisted writing and analysis, less attention has been given to its influence on data generation and integrity. This invited commentary examines emerging risks associated with generative AI use by researchers and participants, including data fabrication …
Artificial Intelligence in Human Participant Research
The rapid integration of artificial intelligence (AI) into research presents emerging ethical and governance challenges for institutions overseeing human research. While existing frameworks provide general protections, they offer limited guidance for addressing AI-specific risks related to informed consent, transparency, data privacy, and fairness. This commentary synthesizes key ethical concerns associated with AI-enabled research and examines s…
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When Artificial Intelligence Enters the Research Process
The rapid integration of generative artificial intelligence (AI) into academic and professional workflows is reshaping human participants research. While prior discourse has focused largely on AI-assisted writing and analysis, less attention has been given to its influence on data generation and integrity. This invited commentary examines emerging risks associated with generative AI use by researchers and participants, including data fabrication …
Artificial Intelligence in Human Participant Research
The rapid integration of artificial intelligence (AI) into research presents emerging ethical and governance challenges for institutions overseeing human research. While existing frameworks provide general protections, they offer limited guidance for addressing AI-specific risks related to informed consent, transparency, data privacy, and fairness. This commentary synthesizes key ethical concerns associated with AI-enabled research and examines s…
Artificial Intelligence in Healthcare and Education (2 works) · Ethics and Social Impacts of AI (2 works) · Human research (2 works) · Research ethics (2 works) · Accountability (1 work) · Ambiguity (1 work) · Applied ethics (1 work) · Big data (1 work) · Corporate governance (1 work) · Data integrity (1 work)