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AI Ethics and Explainable AI (XAI) in Healthcare Course
Original price was: INR ₹5,998.00.INR ₹2,999.00Current price is: INR ₹2,999.00.
This program emphasizes the ethical considerations of using AI in healthcare, such as fairness, bias, accountability, and patient privacy. Additionally, it covers Explainable AI (XAI) methodologies that ensure transparency, allowing healthcare professionals and patients to understand the decisions made by AI systems. The program integrates hands-on experience with case studies of AI implementations in healthcare, addressing ethical dilemmas and regulatory frameworks.
Aim
This program aims to explore the intersection of AI ethics and Explainable AI (XAI) in the healthcare industry. It is designed to equip PhD scholars, academicians, and healthcare professionals with knowledge of ethical challenges and explainability in AI-powered healthcare applications, ensuring trust, transparency, and fairness in medical AI systems.
Program Objectives
- AI Ethics in Healthcare: Understand key ethical concerns in AI systems for healthcare.
- Explainable AI (XAI) Techniques: Master techniques in Explainable AI (XAI) to ensure transparency in medical AI applications.
- Case Studies: Explore real-world case studies of ethical AI in healthcare.
- Regulatory Frameworks: Learn about regulatory frameworks governing AI in healthcare.
- Hands-on XAI Development: Gain practical experience in building explainable AI models for healthcare.
Program Structure
Module 1: Introduction to AI Ethics in Healthcare
- Overview of ethical challenges in healthcare AI applications
- Regulatory considerations and compliance (HIPAA, GDPR)
Module 2: Key Ethical Issues in AI
- Bias, fairness, transparency, and accountability in healthcare AI
- Addressing bias in AI-based medical decisions
Module 3: Explainable AI (XAI) for Healthcare
- Importance of explainability in clinical AI systems
- Techniques for XAI (LIME, SHAP, counterfactual explanations)
Module 4: Case Studies: AI Ethics in Healthcare
- Real-world examples of AI systems in healthcare
- Ethical failures and success stories in healthcare AI
Module 5: Regulatory Frameworks and Legal Considerations
- Overview of regulations governing AI in healthcare
- Future trends in AI governance
Module 6: Hands-on Session: Building Explainable Healthcare AI
- Implementation of XAI techniques in AI models for healthcare
- Debugging and explaining AI-driven healthcare decisions
Participant’s Eligibility
- AI researchers, healthcare professionals, ethicists, legal experts, and academicians focusing on healthcare AI.
Program Outcomes
- Ethical Dilemmas: Proficiency in handling ethical dilemmas in AI healthcare applications.
- Explainability in AI: Ability to implement and explain AI-driven healthcare models using XAI techniques.
- Regulatory Compliance: Understanding of AI regulation and compliance in healthcare systems.
- Hands-On Skills: Develop transparent, fair, and accountable AI solutions for healthcare.
Program Deliverables
- e-LMS Access
- Real-Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self-Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- AI Ethics Consultant in Healthcare
- AI Researcher focused on Ethical AI
- Healthcare Data Scientist
- AI Policy Advisor
- Medical AI System Designer
- Healthcare AI Governance Specialist
Job Opportunities
- AI ethics and compliance roles in healthcare organizations
- Government regulatory bodies overseeing medical AI
- Research institutions focusing on AI ethics
- Tech firms developing AI-powered healthcare systems
- Medical AI startups with a focus on explainability and ethics
- Healthcare consulting firms specializing in AI governance
| MODE | Online/ e-LMS |
|---|---|
| TYPE | Self Paced |
| LEVEL | Advanced |
| DURATION | 4 Weeks |
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