![Program detail 1 206 1 scaled 1](https://nanoschool.in/wp-content/uploads/formidable/362/206-1-scaled-1.jpg)
AI Ethics and Governance in Healthcare
Ensuring Ethical AI Practices for a Safer, Smarter Healthcare Future.
Skills you will gain:
This course offers an in-depth examination of the ethical, legal, and governance issues surrounding the use of artificial intelligence in healthcare. It aims to equip healthcare professionals, policymakers, and technologists with the knowledge and skills needed to ensure AI technologies are developed, deployed, and governed ethically and responsibly within healthcare settings.
Aim: Equip healthcare professionals, policymakers, and technologists with the knowledge and skills to ensure ethical and responsible deployment of artificial intelligence (AI) in healthcare settings through comprehensive understanding of AI ethics and governance.
Program Objectives:
- Understand ethical challenges in AI healthcare applications.
- Address biases for fairness and equity in AI algorithms.
- Navigate legal frameworks (e.g., HIPAA, GDPR) and ensure compliance.
- Design effective governance structures for AI in healthcare.
- Analyze real-world cases and extract best practices for ethical AI deployment.
- 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
Intended For :
Graduates can pursue roles such as AI Ethics Officer, Healthcare Compliance Officer, AI Governance Specialist, and roles focusing on policy and regulation within the healthcare sector.
Career Supporting Skills