starweaver-logo
LOG INGET STARTED
LOG INGET STARTED
  • Browse
  • Doing

  • On Air
  • Channels
  • Career Paths
  • LEARNING

  • Courses
  • Certifications
  • Journeys
  • Test Prep
  • CONNECTING

  • How It Works
  • Community
  • Techbytes
  • Podcasts
  • Leaderboards
  • SUPPORT

  • Support & FAQs
  • Starweaver for Business
  • Starweaver for Campus
  • Teach with Starweaver
footer-brand-logo
  • COMPANY
  • About Us
  • Support and Knowledge Base
  • Policies & Terms
  • Contact
  • CONTENT
  • Courses
  • Certifications
  • Journeys
  • Test Prep
  • Meet the Gurus
  • Techbytes
  • FOR ORGANIZATIONS
  • Starweaver for Business
  • Starweaver for Campus
  • Catalogue
  • Pricing
  • Private Classes
  • PARTNER WITH US
  • Instructors & Teachers
  • Books, Writing & Publishing
  • FOLLOW US
    • facebook
    • twitter
    • linkedin
    • pinterest
    • instagram
    • youtube
Our trademarks include Starweaver®, Make genius happen™, Education you can bank on®, People are your most important assets!®, Body of Knowledge™, StarLabs™, LiveLabs™, Journeys™
© Starweaver Group, Inc. All Rights Reserved.
  1. Courses
  2. >
  3. GenAI for Healthcare Ethics

GenAI for Healthcare Ethics

In this course, you’ll harness the power of Generative AI while addressing its ethical challenges. Learn to ensure fairness, transparency, and patient-focused care in AI systems.

Alfonso Rodríguez Cotes
Alfonso Rodríguez Cotes
Data Science | core | 3 hours |   Published: Jan 2025
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
95.5%RECOMMEND*

This course includes:

  • 3 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Generative AI is revolutionizing healthcare, driving advancements in medical imaging, drug discovery, and personalized medicine. From generating synthetic medical images to enhancing clinical research without compromising patient privacy, the possibilities are groundbreaking. However, with these innovations come critical ethical challenges, including bias in AI models that can lead to inequities in patient care. Studies show that AI-generated medical images often struggle with accuracy across diverse populations, raising concerns about fairness, transparency, and equity.

This course is designed for healthcare professionals, AI developers, and anyone curious about the future of medicine. You’ll gain practical strategies to ensure ethical and unbiased implementation of AI solutions in healthcare. Learn to address data bias, enhance transparency, and develop equitable AI systems that prioritize patient well-being while unlocking the full potential of Generative AI in medicine.

Skills You Will Gain

Transparency
Bias
Equity
Researcher
Medicine
Healthcare

Learning Outcomes (At the end of this program you will be able to)

  • Implement ethical frameworks for integrating generative AI in clinical settings. 
  • Mitigate bias risks in generative AI models used for medical decisions. 
  • Develop informed consent policies for the use of generative AI in patient care based on transparency and data privacy. 

Prerequisites

Learners should have foundational knowledge of healthcare and basic technological literacy. Familiarity with concepts like patient care or data ethics will be helpful but is not mandatory.
 

Who Should Attend

This course is ideal for healthcare professionals, AI developers, or anyone curious about the intersection of AI and medicine. No prior AI experience is necessary, but a basic understanding of healthcare processes or data privacy will enhance your learning experience.
 

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.

Do you offer any certifications upon completion of a course at Starweaver?

Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

Does Starweaver offer any free courses or trials?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Implementing Ethical Frameworks for Generative AI in Healthcare
2Module 2: Mitigating Bias in Generative AI Models in Healthcare
3Module 3: Developing Transparent and Privacy-Centric Consent Policies for Generative AI in Healthcare

Segment 05 - Understanding Bias in AI Why It Matters

Segment 06 - Detecting Bias in Generative AI for Healthcare

Segment 07 - Strategies for Mitigating Bias in Generative AI Models in Healthcare

Segment 08 - Addressing Bias with Prompt Engineering and Fine-Tuning using Azure OpenAI

Alfonso Rodríguez Cotes

Alfonso Rodríguez Cotes

Alfonso is a passionate Microsoft educator and project developer with a deep commitment to enhancing learning experiences, whether in E-learning or face-to-face environments. With a background in psychology, he is highly attuned to the needs of learners, and his enthusiasm for technology, AI, and the digital sphere drives him to continually seek new challenges in training, development, and learning.

As a specialist in training, instructional design, and E-learning, Alfonso has orchestrated and managed diverse educational projects across various sectors, including technology, engineering, pharmaceuticals, healthcare, academia, the public sector, tourism, and hospitality. His expertise spans designing and delivering training sessions both in-person and virtually, with a particular focus on technology topics such as cloud computing and artificial intelligence.

Alfonso is adept at creating educational content, having honed his craft with tools like Vyond, Articulate, Rise, Camtasia, and Canva. His proficiency extends to managing Learning Management Systems like Moodle, Canvas, and Learndash, ensuring seamless educational experiences. He has collaborated with notable organizations such as the Government of the United States, PPD (Thermo Fisher Scientific), HSBC, Seat (Cupra), and various universities, contributing to talent development initiatives and course creation on topics like deep learning and digitalization.

With expertise in areas like Azure, AI Development, Cognitive Services, and Data Analytics, Alfonso aligns with the evolving needs of the educational landscape, ensuring that his work consistently delivers transformative learning experiences.

VIEW MY CHANNEL

Segment 09 - The Importance of Informed Consent in AI-Driven Healthcare

Segment 10 - Building Transparent Consent Policies for AI in Healthcare

Segment 11 - Data Privacy and Security in Generative AI for Healthcare

Segment 12 - Choosing Cloud Services Like Azure to Ensure Data Privacy Compliance

Segment 13 - Congratulations and Continuous Learning Journey

Segment 01 - Introduction to the Course & Meet Your Instructor

Segment 02 - Introduction to Ethical AI in Healthcare

Segment 03 - Key Ethical Principles in Healthcare AI (Methods of Collecting Data)

Segment 04 - Creating an Ethical AI Framework