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Human-machine Interaction in the Age of Generative AI
Dipesh Niraula1, Monique O Shotande, Issam El Naqa
1Department of Machine Learning, Moffitt Cancer Center, Tampa, FL.
Cancer Journal (Sudbury, Mass.)
|November 18, 2025
Summary
Generative artificial intelligence (Gen-AI) is transforming oncology by improving healthcare accessibility and efficiency. Thorough human-machine interaction (HMI) evaluation and a legal framework are crucial for patient safety and responsible AI deployment.
Area of Science:
- Biomedicine
- Oncology
- Artificial Intelligence
Background:
- Generative artificial intelligence (Gen-AI) is increasingly integrated into various fields, including oncology.
- Gen-AI technologies are poised to fundamentally transform human-machine interaction (HMI).
Purpose of the Study:
- To explore the transformative potential of Gen-AI in oncology and healthcare.
- To highlight the importance of human-machine interaction (HMI) evaluation and legal frameworks for clinical AI.
Main Methods:
- Review of Gen-AI applications in oncology.
- Analysis of human-machine interaction (HMI) considerations.
- Discussion of legal and ethical frameworks for AI in healthcare.
Main Results:
- Gen-AI enables intuitive patient- and clinician-facing interfaces, enhancing healthcare accessibility, efficiency, and patient experience.
- Limitations in data quality and algorithms pose challenges to patient safety.
- A robust legal framework is essential for assigning liability and ensuring safe AI application.
Conclusions:
- Gen-AI offers significant potential to optimize patient outcomes in oncology through improved clinical workflows and enhanced HMI.
- Rigorous HMI evaluation beyond traditional validation is necessary.
- Establishing clear legal liability is critical for the safe and beneficial adoption of clinical AI.
Keywords:
AI agentsHuman-machine interactionethicsfoundation modelsgenerative artificial intelligencehealth care AIhuman-AI interactionhuman-computer interactionliabilityoncologyMore Related Videos
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