Program Objectives:

1. Understand ethical challenges in AI healthcare applications.
2. Address biases for fairness and equity in AI algorithms.
3. Navigate legal frameworks (e.g., HIPAA, GDPR) and ensure compliance.
4. Design effective governance structures for AI in healthcare.
5. Analyze real-world cases and extract best practices for ethical AI deployment.
6. Develop and present AI governance frameworks for healthcare organizations.

What you will learn?

MODULE 1 : Introduction to AI Ethics and Governance 

• Fundamentals of ethics in AI
• The importance of governance in AI applications
• Overview of ethical theories and principles applicable to AI in healthcare

MODULE 2 : Ethical Considerations in AI Deployment 

• Identifying and addressing biases in AI algorithms
• Ensuring fairness and equity in AI outcomes
• Privacy and confidentiality issues in AI applications

MODULE 3 : Legal Frameworks and Compliance

• Overview of legal frameworks governing AI in healthcare (HIPAA, GDPR, etc.)
• Compliance challenges and strategies for AI technologies
• Intellectual property rights and data ownership issues in AI

MODULE 4 : Governance of AI in Healthcare Organizations 

• Developing effective governance structures for AI use
• Role of leadership in ethical AI implementation
• Strategies for stakeholder engagement and public trust

MODULE 5 : Case Studies and Best Practices

• Examination of real-world cases of AI in healthcare
• Discussion of successful governance models
• Lessons learned and best practices in ethical AI deployment

MODULE 6 : Capstone Project 

• Design an AI governance framework for a healthcare organization
• Address ethical, legal, and operational considerations
• Presentation and critique of the governance f