AI IN MEDICINE BOOTCAMP | DAY 3 | AI Ethics in Medicine, Bias, Data Privacy & Medical Responsibility
Автор: Joy Aifuobhokhan
Загружено: 2026-02-13
Просмотров: 58
Описание:
AI in medicine is powerful — but it must be responsible.
In this session, we explore the critical issues shaping the future of ethical AI in healthcare, including bias, data privacy, patient consent, explainability, and clinical accountability.
Topics covered:
What AI ethics in medicine really means
Bias in healthcare algorithms
Data privacy in medical AI systems
Patient consent in digital health
Explainability vs black-box models
Who is responsible when AI gets it wrong?
Clinical documentation when using AI tools
Legal and regulatory expectations for doctors
Data literacy for clinicians
Human-centered AI in clinical practice
Cost-effectiveness and sustainability of AI in healthcare
This session answers important questions like:
Can doctors trust AI tools?
What happens when AI makes a mistake?
How do we prevent algorithmic bias in healthcare?
Is AI replacing clinical judgment?
The real risk in AI medicine is not unethical AI — it is untested, poorly integrated, and misunderstood AI.
If you care about responsible innovation, medical leadership, and the future of digital health, this conversation is essential.
#AIethicsinhealthcare #biasinmedicalAI #healthcaredataprivacy #explainableAImedicine #clinicalai #algorithmicbias #aiinhealthcare #healthcare #medical #AIgovernance #digitalhealth
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