Ethical Considerations in the Use of Artificial Intelligence and Robotics in Surgery
This academic book chapter examines the ethical landscape of integrating artificial intelligence and robotic tools into modern surgical practice. It discusses key concerns such as patient autonomy, informed consent, accountability for surgical errors, privacy, algorithmic bias, and the potential depersonalization of the surgeon-patient relationship. The text emphasizes the need for human oversight, transparent governance, and equitable distribution of advanced technologies.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Surgeons, medical trainees, researchers, and healthcare ethicists seeking to understand the ethical considerations of AI and robotics in surgical care.
What the document contains
The chapter addresses the ethical implications of artificial intelligence and robotic-assisted surgery, including patient autonomy, informed consent, liability, data privacy, and healthcare equity. It highlights the balance between technological innovation and traditional surgical values.
The text does not provide specific legal regulations, statutory enforcement mechanisms, or binding code of conduct rules for AI developers.
- Integrating AI and robotics into surgery introduces complex ethical dilemmas regarding autonomy, consent, and accountability.
- Black box algorithms and reliance on large datasets raise concerns about privacy, data governance, and algorithmic bias.
- Technological advancements risk altering the surgeon-patient relationship, potentially leading to depersonalization and diminished trust.
- There is an urgent need for equitable distribution, transparent governance frameworks, and formal ethics education for surgeons.
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
determining accountability when machine-generated decisions contribute to surgical complications or errors
Abstract
screening score · 2026-10-24
Fairness
2/5Non-discrimination and equitable treatment
algorithmic bias, with significant implications for equity in healthcare access and outcomes
Abstract
screening score · 2026-10-24
Human Dignity
2/5Respect for the inherent worth of persons
risking depersonalization and diminished trust
Abstract
screening score · 2026-10-24
Human Oversight
2/5Humans remain in control of consequential decisions
The ethical integration of AI and robotic tools into the practice of surgery depends on maintaining human oversight
Abstract
screening score · 2026-10-24
Privacy
2/5Protection of personal data and private life
raise additional dilemmas of privacy, adequate data governance
Abstract
screening score · 2026-10-24
Transparency
2/5Openness about how AI systems work and are used
transparent governance frameworks
Abstract
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
Abstract
screening score · 2026-10-24