AI Ethics and Governance in Healthcare

Ensuring Ethical AI Practices for a Safer, Smarter Healthcare Future.

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MODE
Online/ e-LMS

TYPE
Mentor Based

LEVEL
Moderate

DURATION
8 Weeks

About

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.

Program Structure

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.

Program Outcomes

Understand the ethical principles and challenges associated with AI in healthcare.
Gain knowledge of legal frameworks and compliance requirements affecting AI applications.
Develop skills to identify and mitigate biases in AI algorithms, ensuring fairness and equity.
Learn to design and implement governance frameworks for AI use within healthcare organizations.
Acquire the ability to lead discussions and initiatives on ethical AI deployment, fostering trust and transparency.

Mentors

AI Mentor

Rajnish Tandon

Bodhi Nexus (Founder)

Biography

AI Mentor

Pratish Jain

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Biography

AI Mentor

J. T. Sibychen

Cyber and Cloud Security Trainer

NIIT Foundation

Biography

More Mentors

Fee Structure

Fee: INR 21,499 USD 291

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies