Jennifer Gibson

University of Toronto

Papers

1

Total Citations

10

H-Index

1

About

Jennifer Gibson is a leading voice in the ethics of emerging health technologies, with a particular focus on the responsible deployment of artificial intelligence in medicine. Her most-cited work, a 2020 scoping review titled "Artificial Intelligence for Good Health: A Scoping Review of the Ethics Literature," has garnered 10 citations and serves as a foundational resource for scholars navigating the complex moral landscape of AI in healthcare. In this seminal paper, Gibson systematically maps the key ethical challenges—from algorithmic bias and data privacy to accountability and equity—that arise when AI is applied to public and global health. Her contribution is not merely descriptive; she provides a critical framework for moving beyond abstract principles toward actionable governance. By synthesizing a fragmented field, Gibson has helped define the research agenda for AI ethics in health, influencing how policymakers, clinicians, and engineers think about "AI for good." Her work underscores that technological progress must be guided by rigorous ethical scrutiny to ensure that health innovations benefit all populations equitably.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence for Good Health: A Scoping Review of the Ethics Literature
10 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago